Rutils/maybe-not-useful/pcomp_varlist.r
In manfredo89/ED2io: Manages Input/Output for Ecosystem Demography 2 Model
#==========================================================================================#
#==========================================================================================#
# List of possible time series plots. Pay attention to this list because all the other #
# plots will depend on this list. #
# #
# Variable is.sum tells whether to sum the total (TRUE), or to average (FALSE). #
#------------------------------------------------------------------------------------------#
n = 0
scen.ts = list()
n = n + 1
scen.ts[[n]] = list( vname = "wood.dens"
, desc = "Wood density"
, lname = "Wood density"
, short = "omega"
, unit = untab$gocm3
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "can.depth"
, desc = "Mean height"
, lname = "Height"
, short = "z[c*a*n]"
, unit = untab$m
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "can.area"
, desc = "Canopy fraction"
, lname = "Canopy fraction"
, short = "alpha[c*a*n]"
, unit = untab$empty
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb"
, desc = "Above ground biomass"
, lname = "AGB"
, short = "A*G*B"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "biomass"
, desc = "Total biomass"
, lname = "Total biomass"
, short = "B[t*o*t]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "lai"
, desc = "Leaf area index"
, lname = "LAI"
, short = "L*A*I"
, unit = untab$m2lom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nplant"
, desc = "Plant density"
, lname = "Plant density"
, short = "n[p*l]"
, unit = untab$plom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "gpp"
, desc = "Gross primary productivity"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.gpp"
, desc = "GPP of the past 12 months"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.gpp"
, desc = "GPP of the past 24 months"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.gpp"
, desc = "GPP of the past 36 months"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "mco"
, desc = "Maintenance costs"
, lname = "Maintenance"
, short = "dot(B)[M*C*o]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "cba"
, desc = "Carbon balance"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.cba"
, desc = "CBA of the past 12 months"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.cba"
, desc = "CBA of the past 24 months"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.cba"
, desc = "CBA of the past 36 months"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "ldrop"
, desc = "Leaf drop"
, lname = "Leaf drop"
, short = "dot(B)[L*D*r]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bstorage"
, desc = "Storage biomass"
, lname = "Storage"
, short = "B[S*t*o*r]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = FALSE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bseeds"
, desc = "Seed biomass"
, lname = "Seed"
, short = "B[S*e*e*d]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = FALSE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "ba"
, desc = "Basal area"
, lname = "Basal area"
, short = "B*A"
, unit = untab$cm2om2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "sm.stress"
, desc = "Soil moisture stress factor"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.sms"
, desc = "PhAP Soil moisture stress"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.sms"
, desc = "SMS of the past 12 months"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.sms"
, desc = "SMS of the past 24 months"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.sms"
, desc = "SMS of the past 36 months"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "mort"
, desc = "Mortality rate"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcpopoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "ncbmort"
, desc = "Mortality rate - Neg. C balance"
, lname = "DD Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcpopoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "dimort"
, desc = "Mortality rate - Density-independent"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcpopoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "recr"
, desc = "Recruitment rate"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcpopoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "growth"
, desc = "Growth rate (DBH)"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcdbhoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "change"
, desc = "Population change"
, lname = "Growth"
, short = "dot(n)[p*l]"
, unit = untab$oneoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.mort"
, desc = "Mortality rate"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.mort"
, desc = "AGB mortality of the past 12 months"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.mort"
, desc = "AGB mortality of the past 24 months"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.mort"
, desc = "AGB mortality of the past 36 months"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.ncbmort"
, desc = "Mortality rate - Neg. C balance"
, lname = "Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = TRUE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.ncbmort"
, desc = "NCB mortality of the past 12 months"
, lname = "DD Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.ncbmort"
, desc = "NCB mortality of the past 24 months"
, lname = "DD Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.ncbmort"
, desc = "NCB mortality of the past 36 months"
, lname = "DD Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.dimort"
, desc = "Mortality rate - Density-independent"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.dimort"
, desc = "DI mortality of the past 12 months"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.dimort"
, desc = "DI mortality of the past 24 months"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.dimort"
, desc = "DI mortality of the past 36 months"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.recr"
, desc = "Recruitment rate"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.recr"
, desc = "Recruitment of the past 12 months"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.recr"
, desc = "Recruitment of the past 24 months"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.recr"
, desc = "Recruitment of the past 36 months"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.growth"
, desc = "Growth rate (AGB)"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.growth"
, desc = "Growth of the past 12 months"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.growth"
, desc = "Growth of the past 24 months"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.growth"
, desc = "Growth of the past 36 months"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.mort"
, desc = "Mortality rate"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.ncbmort"
, desc = "Mortality rate - Neg. C balance"
, lname = "Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.dimort"
, desc = "Mortality rate - Density-independent"
, lname = "Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.recr"
, desc = "Recruitment rate"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.growth"
, desc = "Growth rate"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "cbamax"
, desc = "Maximum carbon balance"
, lname = "Maximum CB"
, short = "C*B[m*a*x]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "cbarel"
, desc = "Relative carbon balance"
, lname = "Relative CB"
, short = "C*B[r*e*l]"
, unit = untab$empty
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "demand"
, desc = "Water demand"
, lname = "Water demand"
, short = "W[D*e*m]"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "supply"
, desc = "Water supply"
, lname = "Water supply"
, short = "W[S*u*p]"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "rain"
, desc = "Precipitation"
, lname = "Precipitation"
, short = "dot(R)"
, unit = untab$mmoyr
, f.aggr = "sum"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "runoff"
, desc = "Total runoff"
, lname = "Runoff"
, short = "dot(W)[R*O]"
, unit = untab$mmoyr
, f.aggr = "sum"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "intercepted"
, desc = "Canopy interception"
, lname = "Intercepted"
, short = "dot(W)[I*n*t]"
, unit = untab$mmoyr
, f.aggr = "sum"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.rain"
, desc = "Previous 12 months rainfall"
, lname = "Rainfall"
, short = "dot(R)"
, unit = untab$mmoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.rain"
, desc = "Previous 24 months rainfall"
, lname = "Rainfall"
, short = "dot(R)"
, unit = untab$mmoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.rain"
, desc = "Previous 36 months rainfall"
, lname = "Rainfall"
, short = "dot(R)"
, unit = untab$mmoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.lt.090"
, desc = "Drought length"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.090
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.lt.100"
, desc = "Drought length"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.100
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.lt.110"
, desc = "Drought length"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.110
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.lt.120"
, desc = "Drought length"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.120
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.wdef"
, desc = "Drought length (ET)"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.wdef
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.mdef"
, desc = "Drought length (Malhi)"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.wdef
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "npp"
, desc = "Net Primary Production"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.npp"
, desc = "NPP of the past 12 months"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.npp"
, desc = "NPP of the past 24 months"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.npp"
, desc = "NPP of the past 36 months"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "dcbadt"
, desc = "Change in C Balance"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.dcbadt"
, desc = "Delta CB of the past 12 months"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.dcbadt"
, desc = "Delta CB of the past 24 months"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.dcbadt"
, desc = "Delta CB of the past 36 months"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "rue"
, desc = "Rainfall Use Efficiency"
, lname = "RUE"
, short = "R*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.rue"
, desc = "RUE of the past 12 months"
, lname = "RUE"
, short = "R*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.rue"
, desc = "RUE of the past 24 months"
, lname = "RUE"
, short = "R*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.rue"
, desc = "RUE of the past 36 months"
, lname = "RUE"
, short = "R*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "water.deficit"
, desc = "Water deficit (ED-2.2)"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mm
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.mwd"
, desc = "MWD of the past 12 months"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mm
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.mwd"
, desc = "MWD of the past 24 months"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mm
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.mwd"
, desc = "MWD of the past 36 months"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mm
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "malhi.deficit"
, desc = "Water deficit (Malhi 2009)"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mmoyr
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "atm.temp"
, desc = "Air temperature"
, lname = "Air Temp."
, short = "T[a*i*r]"
, unit = untab$degC
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.temp"
, desc = "Leaf temperature"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.ltemp"
, desc = "PhAP Leaf temperature"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.ltemp"
, desc = "Leaf temp. of past 12 months"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.ltemp"
, desc = "Leaf temp. of past 24 months"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.ltemp"
, desc = "Leaf temp. of past 36 months"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.water"
, desc = "Leaf intercepted water"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lwater"
, desc = "PhAP Leaf intercepted water"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lwater"
, desc = "Leaf water of past 12 months"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lwater"
, desc = "Leaf water of past 24 months"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.lwater"
, desc = "Leaf water of past 36 months"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "rshort"
, desc = "Incoming shortwave radiation"
, lname = "SW Rad."
, short = "S*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.rshort"
, desc = "SW of the past 12 months"
, lname = "SW Rad."
, short = "S*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.rshort"
, desc = "SW of the past 24 months"
, lname = "SW Rad."
, short = "S*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.rshort"
, desc = "SW of the past 36 months"
, lname = "SW Rad."
, short = "S*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "rlong"
, desc = "Incoming longwave radiation"
, lname = "LW Rad."
, short = "L*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "atm.vpd"
, desc = "Air vapour pressure deficit"
, lname = "AVPD"
, short = "A*V*P*D"
, unit = untab$pa
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.vpd"
, desc = "Leaf vapour pressure deficit"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lvpd"
, desc = "PhAP Leaf VPD"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lvpd"
, desc = "Leaf VPD of the past 12 months"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.lvpd"
, desc = "Leaf VPD of the past 24 months"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.lvpd"
, desc = "Leaf VPD of the past 36 months"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "paw"
, desc = "Potential Available Water"
, lname = "PAW"
, short = "P*A*W"
, unit = untab$pcsat
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "smpot"
, desc = "Soil Matric Potential"
, lname = "Matric Potl."
, short = "Psi[m]"
, unit = untab$mpa
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.smpot"
, desc = "SMPot of the past 12 months"
, lname = "Matric Potl."
, short = "Psi[m]"
, unit = untab$mpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.smpot"
, desc = "SMPot of the past 24 months"
, lname = "Matric Potl."
, short = "Psi[m]"
, unit = untab$mpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.smpot"
, desc = "SMPot of the past 36 months"
, lname = "Matric Potl."
, short = "Psi[m]"
, unit = untab$mpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nep"
, desc = "Net Ecosystem Productivity"
, lname = "NEP"
, short = "N*E*P"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "reco"
, desc = "Ecosystem Respiration"
, lname = "Ecos. Resp."
, short = "R[E*c*o]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "fast.soil.c"
, desc = "Fast soil carbon"
, lname = "FSC"
, short = "C[f*a*s*t]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "struct.soil.c"
, desc = "Structural soil carbon"
, lname = "StSC"
, short = "C[s*t*r*u*c*t]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "slow.soil.c"
, desc = "Slow soil carbon"
, lname = "SSC"
, short = "C[s*l*o*w]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "het.resp"
, desc = "Heterotrophic Respiration"
, lname = "Het. Resp."
, short = "R[H*e*t]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "plant.resp"
, desc = "Plant Respiration"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.plresp"
, desc = "Pl. Resp. of the past 12 months"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.plresp"
, desc = "Pl. Resp. of the past 24 months"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.plresp"
, desc = "Pl. Resp. of the past 36 months"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "hflxlc"
, desc = "Leaf sensible heat"
, lname = "Sensible heat"
, short = "dot(theta)[L*C]"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "wflxlc"
, desc = "Leaf Evaporation"
, lname = "Leaf Evap."
, short = "dot(epsilon)[L*e*a*f]"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "transp"
, desc = "Leaf Transpiration"
, lname = "Leaf Transp."
, short = "dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.transp"
, desc = "Transp. of the past 12 months"
, lname = "Leaf Transp."
, short = "dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.transp"
, desc = "Transp. of the past 24 months"
, lname = "Leaf Transp."
, short = "dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.transp"
, desc = "Transp. of the past 36 months"
, lname = "Leaf Transp."
, short = "dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "et"
, desc = "Evapotranspiration"
, lname = "ET"
, short = "dot(epsilon)+dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.et"
, desc = "ET of the past 12 months"
, lname = "ET"
, short = "dot(epsilon)+dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.et"
, desc = "ET of the past 24 months"
, lname = "ET"
, short = "dot(epsilon)+dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.et"
, desc = "ET of the past 36 months"
, lname = "ET"
, short = "dot(epsilon)+dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "evap"
, desc = "Total evaporation"
, lname = "ET"
, short = "dot(epsilon)"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.evap"
, desc = "Evap. of the past 12 months"
, lname = "ET"
, short = "dot(epsilon)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.evap"
, desc = "Evap. of the past 24 months"
, lname = "ET"
, short = "dot(epsilon)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.evap"
, desc = "Evap. of the past 36 months"
, lname = "ET"
, short = "dot(epsilon)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.gpp"
, desc = "Mean Gross Primary Production"
, lname = "GPP"
, short = "G*P*P[I*n*d]"
, unit = untab$kgcoployr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.npp"
, desc = "Mean Net Primary Production"
, lname = "NPP"
, short = "bar(N*P*P)"
, unit = untab$kgcoployr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.plant.resp"
, desc = "Mean Plant Respiration"
, lname = "Auto. Resp."
, short = "bar(R[A*u*t*o])"
, unit = untab$kgcoployr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.cba"
, desc = "Mean Carbon balance"
, lname = "C Balance"
, short = "bar(C[B*a*l])"
, unit = untab$kgcopl
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.mco"
, desc = "Mean Maintenance Costs"
, lname = "Maintenance"
, short = "bar(B[M*C*o])"
, unit = untab$kgcoployr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.hflxlc"
, desc = "Mean Leaf sensible heat flux"
, lname = "Sens. heat"
, short = "dot(theta)[L*e*a*f]"
, unit = untab$wom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.wflxlc"
, desc = "Mean Leaf evaporation"
, lname = "Leaf evap."
, short = "dot(theta)[L*e*a*f]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.transp"
, desc = "Mean Transpiration"
, lname = "Leaf transp."
, short = "dot(tau)"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "hflxgc"
, desc = "Sensible heat - Gnd->CAS"
, lname = "Gnd. Sens. heat"
, short = "dot(theta)[G*n*d]"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "hflxca"
, desc = "Sensible heat - CAS->ATM"
, lname = "EF - sensible"
, short = "dot(theta)[E*F]"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "wflxgc"
, desc = "Water flux - Gnd->CAS"
, lname = "Ground Evap."
, short = "dot(epsilon)[G*n*d]"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "wflxca"
, desc = "Water flux - CAS->ATM"
, lname = "EF - water"
, short = "dot(epsilon)[E*F]"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "cue"
, desc = "Carbon use efficiency"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.cue"
, desc = "CUE of the past 12 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.cue"
, desc = "CUE of the past 24 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.cue"
, lname = "CUE"
, desc = "CUE of the past 36 months"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "ecue"
, desc = "Effective Carbon use efficiency"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.ecue"
, desc = "ECUE of the past 12 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.ecue"
, desc = "ECUE of the past 24 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.ecue"
, desc = "ECUE of the past 36 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "wue"
, desc = "Actual Water use efficiency"
, lname = "LWUE"
, short = "L*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.wue"
, desc = "LWUE of the past 12 months"
, lname = "LWUE"
, short = "L*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.wue"
, desc = "LWUE of the past 24 months"
, lname = "LWUE"
, short = "L*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.wue"
, desc = "LWUE of the past 36 months"
, lname = "LWUE"
, short = "L*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "etue"
, desc = "Bulk water use efficiency"
, lname = "BWUE"
, short = "B*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.etue"
, desc = "BWUE of the past 12 months"
, lname = "BWUE"
, short = "B*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.etue"
, desc = "BWUE of the past 24 months"
, lname = "BWUE"
, short = "B*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.etue"
, desc = "BWUE of the past 36 months"
, lname = "BWUE"
, short = "B*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.gbw"
, desc = "Leaf Bnd. Lyr. Conductance"
, lname = "LBL Condct."
, short = "g[b*w]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lgbw"
, desc = "PhAP Leaf Bnd. Lyr. Conduct."
, lname = "LBL Condct."
, short = "g[b*w]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.gsw"
, desc = "Leaf stomatal Conductance"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lgsw"
, desc = "PhAP Leaf stomatal Conductance"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lgsw"
, desc = "GSW of the past 12 months"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.lgsw"
, desc = "GSW of the past 24 months"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.lgsw"
, desc = "GSW of the past 36 months"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.gpp"
, desc = "Gross Primary Productivity"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.plant.resp"
, desc = "Plant respiration"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.npp"
, desc = "Net Primary Productivity"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.dcbadt"
, desc = "Change in C Balance"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.mco"
, desc = "Maintenance costs"
, lname = "Maintenance"
, short = "dot(B)[M*C*o]"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.cba"
, desc = "Carbon balance"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.bstorage"
, desc = "Relative storage biomass"
, lname = "Storage"
, short = "B[S*t*o*r]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.bleaf"
, desc = "Relative leaf biomass"
, lname = "Leaf"
, short = "B[L*e*a*f]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
# n = n + 1
# scen.ts[[n]] = list( vname = "f.bstem"
# , desc = "Relative stem biomass"
# , lname = "Stem"
# , short = "B[S*t*e*m]"
# , unit = untab$kgcokgc
# , f.aggr = "mean"
# , add = 0
# , mult = 1
# , pftvar = TRUE
# , dbhvar = TRUE
# , mort = FALSE
# , recr = FALSE
# , plog = FALSE
# , plog.dbh = FALSE
# , plt = TRUE
# )#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.broot"
, desc = "Relative root biomass"
, lname = "Root"
, short = "B[R*o*o*t]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.bseeds"
, desc = "Relative seed biomass"
, lname = "Seed"
, short = "B[S*e*e*d]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.par"
, desc = "Absorbed PAR - Leaf"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "mean"
, add = 0
, mult = 1.e6
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lpar"
, desc = "PhAP Absorbed PAR - Leaf"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "mean"
, add = 0
, mult = 1.e6
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lpar"
, desc = "LPAR of the past 12 months"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "get.last"
, add = 0
, mult = 1.e6
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.lpar"
, desc = "LPAR of the past 24 months"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "get.last"
, add = 0
, mult = 1.e6
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.lpar"
, desc = "LPAR of the past 36 months"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "get.last"
, add = 0
, mult = 1.e6
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.rshort"
, desc = "Absorbed SW - Leaf"
, lname = "Leaf SW"
, short = "S*W[L*e*a*f]"
, unit = untab$wom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.rlong"
, desc = "Absorbed LW - Leaf"
, lname = "Leaf LW"
, short = "L*W[L*e*a*f]"
, unit = untab$wom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.change"
, desc = "AGB change"
, lname = "AGB change"
, short = "delta[A*G*B]"
, unit = untab$oneoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.change"
, desc = "AGB change of the past 12 months"
, lname = "AGB change"
, short = "delta[A*G*B]"
, unit = untab$oneoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.change"
, desc = "AGB change of the past 24 months"
, lname = "AGB change"
, short = "delta[A*G*B]"
, unit = untab$oneoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.change"
, desc = "AGB change of the past 36 months"
, lname = "AGB change"
, short = "delta[A*G*B]"
, unit = untab$oneoyr
, f.aggr = "mean.log"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
scen.ts = data.frame( apply( X = sapply(X=scen.ts,FUN=c), MARGIN = 1, FUN = unlist )
, stringsAsFactors = FALSE
)#end data.frame
for (nl in c("pftvar","dbhvar","mort","recr","plog","plog.dbh","plt")){
scen.ts[[nl]] = as.logical(scen.ts[[nl]])
}#end for
for (nl in c("add","mult")){
scen.ts[[nl]] = as.numeric(scen.ts[[nl]])
}#end for
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the plot of size and PFT-dependent box plot. #
# Units, description, and log scale will be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts, #
# and they must be PFT-dependent or PFT- and DBH- dependent (in which case two #
# plots will be generated). #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
scen.szpft = data.frame( vname = c( "agb", "lai", "ba"
, "recr", "mort", "ncbmort"
, "dimort", "growth", "change"
, "agb.recr", "agb.mort", "agb.ncbmort"
, "agb.dimort", "agb.growth", "agb.change"
, "gpp", "npp", "plant.resp"
, "dcbadt", "cba", "mco"
, "bstorage", "bseeds", "sm.stress"
, "phap.sms", "wflxlc", "transp"
, "i.gpp", "i.plant.resp", "i.npp"
, "i.cba", "i.transp", "cbamax"
, "i.hflxlc", "i.wflxlc", "i.mco"
, "leaf.gsw", "phap.lgsw", "f.gpp"
, "f.npp", "f.mco", "f.dcbadt"
, "f.cba", "f.bstorage", "f.bleaf"
, "f.bseeds", "rain", "runoff"
, "intercepted", "atm.vpd", "leaf.vpd"
, "phap.lvpd", "leaf.water", "leaf.temp"
, "phap.ltemp", "atm.temp", "leaf.par"
, "phap.lpar", "nplant", "nmon.wdef"
, "wood.dens", "last.1yr.wue", "last.1yr.etue"
, "last.1yr.rue", "last.1yr.cue", "last.1yr.ecue"
, "can.depth", "can.area", "wue"
, "etue", "rue", "cue"
, "ecue"
)#end c
, stringsAsFactors = FALSE
)#end vname
scen.szpft = data.frame( vname = c( "agb", "lai", "ba"
, "agb.ncbmort", "agb.growth", "agb.change"
, "sm.stress", "leaf.gsw", "leaf.vpd"
, "leaf.par")
, stringsAsFactors = FALSE
)#end vname
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(scen.szpft))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
sz.idx = match(scen.szpft$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
sz.miss = is.na(sz.idx)
if (any(sz.miss)){
cat(" - The following variables in scen.szpft are missing from scen.ts:","\n")
cat(paste(" * ",scen.szpft$vname[sz.miss],sep=""),sep="\n")
stop(" - All variables defined in scen.szpft must be defined in scen.ts!!!")
}#end if(any(sz.miss))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) scen.szpft[[wn]] = scen.ts[[wn]][sz.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the bar plot of size and PFT-dependent, long- #
# term means for each season. #
# Units, description, and log scale will be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts, #
# and they must be PFT- and DBH- dependent. Avoid variables that can be #
# negative (e.g. npp), or that cannot be stacked (e.g. sm.stress) #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
scen.barplot = data.frame( vname = c( "agb", "lai", "ba"
, "gpp", "ldrop", "mco"
, "transp", "plant.resp", "bseeds"
, "bstorage"
)#end c
, stringsAsFactors = FALSE
)#end vname
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(scen.barplot))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
bar.idx = match(scen.barplot$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
bar.miss = is.na(bar.idx)
if (any(bar.miss)){
cat(" - The following variables in scen.barplot are missing from scen.ts:","\n")
cat(paste(" * ",scen.barplot$vname[bar.miss],sep=""),sep="\n")
stop(" - All variables defined in scen.barplot must be defined in scen.ts!!!")
}#end if(any(bar.miss))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) scen.barplot[[wn]] = scen.ts[[wn]][bar.idx]
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# All variables here must be PFT- and DBH- dependent, so we make sure that they are #
# indeed. #
#---------------------------------------------------------------------------------------#
if (! all(scen.barplot$pftvar & scen.barplot$dbhvar)){
not.pftdbh = ! ( scen.barplot$pftvar & scen.barplot$dbhvar)
cat (" - The following variables in scen.barplot are not PFT+DBH variables:","\n")
cat (paste(" * ",scen.barplot$vname[not.pftdbh],sep=""),sep="\n")
stop(" - All variables defined in scen.barplot must be PFT+DBH variables!!!")
}#end if
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# XYZ plots, to explore the parameter space. Units, description, and log scale will #
# be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts!! #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name, legend position or colour scheme. ---#
scen.xyz = list()
scen.xyz$xvar = list( list( vname = "f.bseeds" , leg = "centre" )
, list( vname = "f.bstorage" , leg = "centre" )
, list( vname = "f.cba" , leg = "centre" )
, list( vname = "atm.temp" , leg = "centre" )
, list( vname = "atm.vpd" , leg = "centre" )
, list( vname = "last.1yr.change" , leg = "centre" )
, list( vname = "last.1yr.et" , leg = "centre" )
, list( vname = "last.1yr.evap" , leg = "centre" )
, list( vname = "last.1yr.sms" , leg = "centre" )
, list( vname = "last.1yr.gpp" , leg = "centre" )
, list( vname = "last.1yr.growth" , leg = "centre" )
, list( vname = "last.1yr.lgsw" , leg = "centre" )
, list( vname = "last.1yr.ltemp" , leg = "centre" )
, list( vname = "last.1yr.lwater" , leg = "centre" )
, list( vname = "last.1yr.lvpd" , leg = "centre" )
, list( vname = "last.1yr.mwd" , leg = "centre" )
, list( vname = "last.1yr.ncbmort", leg = "centre" )
, list( vname = "last.1yr.npp" , leg = "centre" )
, list( vname = "last.1yr.plresp" , leg = "centre" )
, list( vname = "last.1yr.rshort" , leg = "centre" )
, list( vname = "last.1yr.rain" , leg = "centre" )
, list( vname = "last.1yr.smpot" , leg = "centre" )
, list( vname = "last.1yr.transp" , leg = "centre" )
, list( vname = "last.1yr.dcbadt" , leg = "centre" )
, list( vname = "nmon.wdef" , leg = "centre" )
)#end list
scen.xyz$yvar = scen.xyz$xvar
scen.xyz$zvar = list( list( vname = "agb"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "wood.dens"
, col.scheme = "iclife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.growth"
, col.scheme = "clife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.ncbmort"
, col.scheme = "iclife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.change"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.cue"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.ecue"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.wue"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
scen.xyz$xvar = data.frame( apply(X=sapply(X=scen.xyz$xvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
scen.xyz$yvar = data.frame( apply(X=sapply(X=scen.xyz$yvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
scen.xyz$zvar = data.frame( apply(X=sapply(X=scen.xyz$zvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the XYZ list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Get all the names that shall be added. ------------------------------------------#
which.names = names(scen.ts)
keep = ( ! which.names %in% union( union( names(scen.xyz$xvar)
, names(scen.xyz$yvar)
)#end union
, names(scen.xyz$zvar)
)#end union
)#end keep
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
x.idx = match(scen.xyz$xvar$vname,scen.ts$vname)
y.idx = match(scen.xyz$yvar$vname,scen.ts$vname)
z.idx = match(scen.xyz$zvar$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
x.sel = is.na(x.idx)
y.sel = is.na(y.idx)
z.sel = is.na(z.idx)
if (any(x.sel) | any(y.sel) | any(z.sel)){
if (any(x.sel)){
cat(" - The following variables in scen.xyz$xvar are missing from scen.ts:","\n")
cat(paste(" * ",scen.xyz$xvar$vname[x.sel],sep=""),sep="\n")
}#end if(any(x.sel))
if (any(y.sel)){
cat(" - The following variables in scen.xyz$yvar are missing from scen.ts:","\n")
cat(paste(" * ",scen.xyz$yvar$vname[y.sel],sep=""),sep="\n")
}#end if(any(y.sel))
if (any(z.sel)){
cat(" - The following variables in scen.xyz$zvar are missing from scen.ts:","\n")
cat(paste(" * ",scen.xyz$zvar$vname[z.sel],sep=""),sep="\n")
}#end if(any(z.sel))
stop(" - All variables defined in scen.xyz must be defined in scen.ts!!!")
}#end if
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names){
scen.xyz$xvar[[wn]] = scen.ts[[wn]][x.idx]
scen.xyz$yvar[[wn]] = scen.ts[[wn]][y.idx]
scen.xyz$zvar[[wn]] = scen.ts[[wn]][z.idx]
}#end for
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the scenario comparison panel, with each panel #
# representing a collection of scenarios. Only mean differences will be plotted. Because #
# this works with differences, log variables will not be plotted as log variables. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
scen.comp = list( list( vname = "wood.dens", low = "green" , high = "purple" )
, list( vname = "agb", low = "purple" , high = "green" )
, list( vname = "lai", low = "purple" , high = "green" )
, list( vname = "ba", low = "purple" , high = "green" )
, list( vname = "nplant", low = "purple" , high = "green" )
, list( vname = "gpp", low = "purple" , high = "green" )
, list( vname = "npp", low = "purple" , high = "green" )
, list( vname = "mco", low = "purple" , high = "green" )
, list( vname = "cba", low = "purple" , high = "green" )
, list( vname = "dcbadt", low = "purple" , high = "green" )
, list( vname = "ldrop", low = "green" , high = "purple" )
, list( vname = "bstorage", low = "purple" , high = "green" )
, list( vname = "bseeds", low = "purple" , high = "green" )
, list( vname = "sm.stress", low = "blue" , high = "orangered")
, list( vname = "mort", low = "green" , high = "purple" )
, list( vname = "recr", low = "purple" , high = "green" )
, list( vname = "growth", low = "purple" , high = "green" )
, list( vname = "ncbmort", low = "green" , high = "purple" )
, list( vname = "dimort", low = "green" , high = "purple" )
, list( vname = "change", low = "green" , high = "purple" )
, list( vname = "agb.mort", low = "green" , high = "purple" )
, list( vname = "agb.recr", low = "purple" , high = "green" )
, list( vname = "agb.growth", low = "purple" , high = "green" )
, list( vname = "agb.ncbmort", low = "green" , high = "purple" )
, list( vname = "agb.dimort", low = "green" , high = "purple" )
, list( vname = "agb.change", low = "green" , high = "purple" )
, list( vname = "rain", low = "orangered", high = "blue" )
, list( vname = "runoff", low = "orangered", high = "blue" )
, list( vname = "intercepted", low = "orangered", high = "blue" )
, list( vname = "water.deficit", low = "blue" , high = "orangered")
, list( vname = "atm.temp", low = "blue" , high = "orangered")
, list( vname = "leaf.temp", low = "blue" , high = "orangered")
, list( vname = "rshort", low = "grey" , high = "blue" )
, list( vname = "rlong", low = "blue" , high = "grey" )
, list( vname = "atm.vpd", low = "blue" , high = "orangered")
, list( vname = "leaf.vpd", low = "blue" , high = "orangered")
, list( vname = "smpot", low = "blue" , high = "orangered")
, list( vname = "nep", low = "purple" , high = "green" )
, list( vname = "reco", low = "blue" , high = "orangered")
, list( vname = "fast.soil.c", low = "blue" , high = "orangered")
, list( vname = "struct.soil.c", low = "blue" , high = "orangered")
, list( vname = "slow.soil.c", low = "blue" , high = "orangered")
, list( vname = "het.resp", low = "blue" , high = "orangered")
, list( vname = "plant.resp", low = "blue" , high = "orangered")
, list( vname = "hflxlc", low = "blue" , high = "orangered")
, list( vname = "wflxlc", low = "orangered", high = "blue" )
, list( vname = "transp", low = "orangered", high = "blue" )
, list( vname = "hflxgc", low = "blue" , high = "orangered")
, list( vname = "hflxca", low = "blue" , high = "orangered")
, list( vname = "wflxgc", low = "orangered", high = "blue" )
, list( vname = "wflxca", low = "orangered", high = "blue" )
, list( vname = "wue", low = "orangered", high = "blue" )
, list( vname = "cue", low = "purple" , high = "green" )
, list( vname = "ecue", low = "purple" , high = "green" )
, list( vname = "etue", low = "orangered", high = "blue" )
, list( vname = "leaf.gbw", low = "orangered", high = "blue" )
, list( vname = "leaf.gsw", low = "orangered", high = "blue" )
, list( vname = "leaf.par", low = "blue" , high = "orangered")
, list( vname = "leaf.rshort", low = "blue" , high = "orangered")
, list( vname = "leaf.rlong", low = "blue" , high = "orangered")
)#end list
#------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#------------------------------------------------------------------------------------#
scen.comp = data.frame( apply(X=sapply(X=scen.comp,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(scen.comp))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(scen.comp$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in scen.comp are missing from scen.ts:","\n")
cat(paste(" * ",scen.comp$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in scen.comp must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) scen.comp[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the box plot comparing the scenarios, each #
# plot having the scenario[[1]] in the X scale, and scenario 2 in the group of box plots #
# Panels are panels. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
panel.box = data.frame( vname = c( "agb", "lai", "ba"
, "gpp", "npp", "mco"
, "cba", "ldrop", "bstorage"
, "bseeds", "sm.stress", "phap.sms"
, "mort", "ncbmort", "dimort"
, "recr", "growth", "agb.mort"
, "agb.ncbmort", "agb.dimort", "agb.recr"
, "agb.growth", "rain","water.deficit"
, "runoff", "atm.temp", "leaf.temp"
, "phap.ltemp", "rshort", "rlong"
, "atm.vpd", "leaf.vpd", "phap.lvpd"
, "smpot", "nep", "reco"
, "fast.soil.c","struct.soil.c", "slow.soil.c"
, "het.resp", "plant.resp", "hflxlc"
, "wflxlc", "transp", "hflxgc"
, "hflxca", "wflxgc", "wflxca"
, "wue", "leaf.gbw", "leaf.gsw"
, "phap.lgsw", "leaf.par", "phap.lpar"
, "leaf.rshort", "nplant", "cue"
, "ecue", "wood.dens", "can.depth"
, "can.area", "dcbadt"
)#end vname
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(panel.box))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(panel.box$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in panel.box are missing from scen.ts:","\n")
cat(paste(" * ",panel.box$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in panel.box must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) panel.box[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the line plot comparing the scenarios, each #
# plot having the scenario[[1]] in the X scale, and scenario 2 in the group of box plots #
# Panels are panels. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
panel.summ = data.frame( vname = c( "agb", "lai", "ba"
, "gpp", "npp", "mco"
, "cba", "ldrop", "bstorage"
, "bseeds", "sm.stress", "phap.sms"
, "mort", "ncbmort", "dimort"
, "recr", "growth", "agb.mort"
, "agb.ncbmort", "agb.dimort", "agb.recr"
, "agb.growth", "rain","water.deficit"
, "runoff", "atm.temp", "leaf.temp"
, "phap.ltemp", "rshort", "rlong"
, "atm.vpd", "leaf.vpd", "phap.lvpd"
, "smpot", "nep", "reco"
, "fast.soil.c","struct.soil.c", "slow.soil.c"
, "het.resp", "plant.resp", "hflxlc"
, "wflxlc", "transp", "hflxgc"
, "hflxca", "wflxgc", "wflxca"
, "wue", "leaf.gbw", "leaf.gsw"
, "phap.lgsw", "leaf.par", "phap.lpar"
, "leaf.rshort", "nplant", "cue"
, "ecue", "wood.dens", "can.depth"
, "can.area", "dcbadt"
)#end vname
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(panel.summ))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(panel.summ$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in panel.summ are missing from scen.ts:","\n")
cat(paste(" * ",panel.summ$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in panel.summ must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) panel.summ[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# XYZ plots, to explore the parameter space. Units, description, and log scale will #
# be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts!! #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name, legend position or colour scheme. ---#
panel.xyz = list()
panel.xyz$xvar = list( list( vname = "f.bstorage" , leg = "centre" )
, list( vname = "f.dcbadt" , leg = "centre" )
, list( vname = "last.1yr.change" , leg = "centre" )
, list( vname = "last.1yr.cue" , leg = "centre" )
, list( vname = "last.1yr.dcbadt" , leg = "centre" )
, list( vname = "last.1yr.ecue" , leg = "centre" )
, list( vname = "last.1yr.et" , leg = "centre" )
, list( vname = "last.1yr.etue" , leg = "centre" )
, list( vname = "last.1yr.evap" , leg = "centre" )
, list( vname = "last.1yr.sms" , leg = "centre" )
, list( vname = "last.1yr.gpp" , leg = "centre" )
, list( vname = "last.1yr.growth" , leg = "centre" )
, list( vname = "last.1yr.lpar" , leg = "centre" )
, list( vname = "last.1yr.lgsw" , leg = "centre" )
, list( vname = "last.1yr.ltemp" , leg = "centre" )
, list( vname = "last.1yr.lwater" , leg = "centre" )
, list( vname = "last.1yr.lvpd" , leg = "centre" )
, list( vname = "last.1yr.mwd" , leg = "centre" )
, list( vname = "last.1yr.ncbmort", leg = "centre" )
, list( vname = "last.1yr.npp" , leg = "centre" )
, list( vname = "last.1yr.plresp" , leg = "centre" )
, list( vname = "last.1yr.rain" , leg = "centre" )
, list( vname = "last.1yr.rue" , leg = "centre" )
, list( vname = "last.1yr.smpot" , leg = "centre" )
, list( vname = "last.1yr.transp" , leg = "centre" )
, list( vname = "last.1yr.wue" , leg = "centre" )
, list( vname = "nmon.wdef" , leg = "centre" )
)#end list
panel.xyz$yvar = panel.xyz$xvar
panel.xyz$zvar = list( list( vname = "agb"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "f.bstorage"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.change"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.cue"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.dcbadt"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.ecue"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.etue"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.gpp"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.growth"
, col.scheme = "clife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.ncbmort"
, col.scheme = "iclife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.npp"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.plresp"
, col.scheme = "iclife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.rue"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.transp"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.wue"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
, list( vname = "wood.dens"
, col.scheme = "iclife"
, plog.xyz = FALSE
)#end list
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
panel.xyz$xvar = data.frame( apply(X=sapply(X=panel.xyz$xvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
panel.xyz$yvar = data.frame( apply(X=sapply(X=panel.xyz$yvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
panel.xyz$zvar = data.frame( apply(X=sapply(X=panel.xyz$zvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the XYZ list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Get all the names that shall be added. ------------------------------------------#
which.names = names(scen.ts)
keep = ( ! which.names %in% union( union( names(panel.xyz$xvar)
, names(panel.xyz$yvar)
)#end union
, names(panel.xyz$zvar)
)#end union
)#end keep
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
x.idx = match(panel.xyz$xvar$vname,scen.ts$vname)
y.idx = match(panel.xyz$yvar$vname,scen.ts$vname)
z.idx = match(panel.xyz$zvar$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
x.sel = is.na(x.idx)
y.sel = is.na(y.idx)
z.sel = is.na(z.idx)
if (any(x.sel) | any(y.sel) | any(z.sel)){
if (any(x.sel)){
cat(" - The following variables in panel.xyz$xvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.xyz$xvar$vname[x.sel],sep=""),sep="\n")
}#end if(any(x.sel))
if (any(y.sel)){
cat(" - The following variables in panel.xyz$yvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.xyz$yvar$vname[y.sel],sep=""),sep="\n")
}#end if(any(y.sel))
if (any(z.sel)){
cat(" - The following variables in panel.xyz$zvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.xyz$zvar$vname[z.sel],sep=""),sep="\n")
}#end if(any(z.sel))
stop(" - All variables defined in panel.xyz must be defined in scen.ts!!!")
}#end if
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names){
panel.xyz$xvar[[wn]] = scen.ts[[wn]][x.idx]
panel.xyz$yvar[[wn]] = scen.ts[[wn]][y.idx]
panel.xyz$zvar[[wn]] = scen.ts[[wn]][z.idx]
}#end for
for (nl in c("plog.xyz")){
panel.xyz$zvar[[nl]] = as.logical(panel.xyz$zvar[[nl]])
}#end for
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# XYZ plots, to explore the parameter space but interpolated to a map. Units, #
# description, and log scale will be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts!! #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name, legend position or colour scheme. ---#
panel.map = list()
panel.map$xvar = list( list( vname = "last.1yr.mwd" , leg = "centre" )
, list( vname = "nmon.wdef" , leg = "centre" )
, list( vname = "last.1yr.sms" , leg = "centre" )
, list( vname = "last.1yr.smpot" , leg = "centre" )
, list( vname = "last.1yr.lvpd" , leg = "centre" )
)#end list
panel.map$yvar = panel.map$xvar
panel.map$zvar = list( list( vname = "last.1yr.ncbmort"
, col.scheme = "iclife"
, plog.map = TRUE
)#end list
, list( vname = "last.1yr.growth"
, col.scheme = "clife"
, plog.map = TRUE
)#end list
, list( vname = "last.1yr.change"
, col.scheme = "clife"
, plog.map = FALSE
)#end list
, list( vname = "last.1yr.cue"
, col.scheme = "clife"
, plog.map = FALSE
)#end list
, list( vname = "last.1yr.wue"
, col.scheme = "ipanoply"
, plog.map = FALSE
)#end list
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
panel.map$xvar = data.frame( apply(X=sapply(X=panel.map$xvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
panel.map$yvar = data.frame( apply(X=sapply(X=panel.map$yvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
panel.map$zvar = data.frame( apply(X=sapply(X=panel.map$zvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the XYZ list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Get all the names that shall be added. ------------------------------------------#
which.names = names(scen.ts)
keep = ( ! which.names %in% union( union( names(panel.map$xvar)
, names(panel.map$yvar)
)#end union
, names(panel.map$zvar)
)#end union
)#end keep
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
x.idx = match(panel.map$xvar$vname,scen.ts$vname)
y.idx = match(panel.map$yvar$vname,scen.ts$vname)
z.idx = match(panel.map$zvar$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
x.sel = is.na(x.idx)
y.sel = is.na(y.idx)
z.sel = is.na(z.idx)
if (any(x.sel) | any(y.sel) | any(z.sel)){
if (any(x.sel)){
cat(" - The following variables in panel.map$xvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.map$xvar$vname[x.sel],sep=""),sep="\n")
}#end if(any(x.sel))
if (any(y.sel)){
cat(" - The following variables in panel.map$yvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.map$yvar$vname[y.sel],sep=""),sep="\n")
}#end if(any(y.sel))
if (any(z.sel)){
cat(" - The following variables in panel.map$zvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.map$zvar$vname[z.sel],sep=""),sep="\n")
}#end if(any(z.sel))
stop(" - All variables defined in panel.map must be defined in scen.ts!!!")
}#end if
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names){
panel.map$xvar[[wn]] = scen.ts[[wn]][x.idx]
panel.map$yvar[[wn]] = scen.ts[[wn]][y.idx]
panel.map$zvar[[wn]] = scen.ts[[wn]][z.idx]
}#end for
for (nl in c("plog.map")){
panel.map$zvar[[nl]] = as.logical(panel.map$zvar[[nl]])
}#end for
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the principal component analysis by DBH class. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
pca.explain = list( list( vname = "water.deficit" , colour = "#FF80FF" )
, list( vname = "leaf.gsw" , colour = "#C800C8" )
, list( vname = "f.bstorage" , colour = "#800080" )
, list( vname = "leaf.par" , colour = "#FF0000" )
, list( vname = "leaf.temp" , colour = "#BE0000" )
, list( vname = "leaf.vpd" , colour = "#800000" )
, list( vname = "agb.growth" , colour = "#F0F000" )
, list( vname = "wood.dens" , colour = "#A08240" )
, list( vname = "f.dcbadt" , colour = "#604020" )
, list( vname = "agb.recr" , colour = "#40FF00" )
, list( vname = "ecue" , colour = "#009000" )
, list( vname = "agb" , colour = "#004000" )
, list( vname = "wue" , colour = "#26D4EE" )
, list( vname = "leaf.water" , colour = "#1A9BE3" )
, list( vname = "rain" , colour = "#0C54AA" )
, list( vname = "nmon.wdef" , colour = "#9B9BFF" )
, list( vname = "smpot" , colour = "#694AFF" )
, list( vname = "agb.mort" , colour = "#5C00B8" )
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
pca.explain = data.frame( apply(X=sapply(X=pca.explain,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(pca.explain))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(pca.explain$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in pca.explain are missing from scen.ts:","\n")
cat(paste(" * ",pca.explain$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in pca.explain must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) pca.explain[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the autocorrelation comparing for all #
# scenarios. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
acorr.plot = data.frame( vname = c( "agb", "lai", "ba"
, "gpp", "npp", "agb.change"
, "bstorage", "can.depth"
)#end vname
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(acorr.plot))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(acorr.plot$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in acorr.plot are missing from scen.ts:","\n")
cat(paste(" * ",acorr.plot$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in acorr.plot must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) acorr.plot[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# Turn the variables that matter global. #
#------------------------------------------------------------------------------------------#
scen.ts <<- scen.ts
scen.szpft <<- scen.szpft
scen.barplot <<- scen.barplot
scen.xyz <<- scen.xyz
scen.comp <<- scen.comp
panel.box <<- panel.box
panel.summ <<- panel.summ
pca.explain <<- pca.explain
acorr.plot <<- acorr.plot
nscen.ts <<- nrow(scen.ts)
nscen.szpft <<- nrow(scen.szpft )
nscen.barplot <<- nrow(scen.barplot )
nscen.xvar <<- nrow(scen.xyz$xvar )
nscen.yvar <<- nrow(scen.xyz$yvar )
nscen.zvar <<- nrow(scen.xyz$zvar )
nscen.comp <<- nrow(scen.comp )
npanel.box <<- nrow(panel.box )
npanel.summ <<- nrow(panel.summ )
npanel.xvar <<- nrow(panel.xyz$xvar)
npanel.yvar <<- nrow(panel.xyz$yvar)
npanel.zvar <<- nrow(panel.xyz$zvar)
npanel.xmap <<- nrow(panel.map$xvar)
npanel.ymap <<- nrow(panel.map$yvar)
npanel.zmap <<- nrow(panel.map$zvar)
npca.explain <<- nrow(pca.explain )
nacorr.plot <<- nrow(acorr.plot )
#==========================================================================================#
#==========================================================================================#
manfredo89/ED2io documentation built on May 21, 2019, 11:24 a.m.
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#==========================================================================================#
#==========================================================================================#
# List of possible time series plots. Pay attention to this list because all the other #
# plots will depend on this list. #
# #
# Variable is.sum tells whether to sum the total (TRUE), or to average (FALSE). #
#------------------------------------------------------------------------------------------#
n = 0
scen.ts = list()
n = n + 1
scen.ts[[n]] = list( vname = "wood.dens"
, desc = "Wood density"
, lname = "Wood density"
, short = "omega"
, unit = untab$gocm3
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "can.depth"
, desc = "Mean height"
, lname = "Height"
, short = "z[c*a*n]"
, unit = untab$m
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "can.area"
, desc = "Canopy fraction"
, lname = "Canopy fraction"
, short = "alpha[c*a*n]"
, unit = untab$empty
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb"
, desc = "Above ground biomass"
, lname = "AGB"
, short = "A*G*B"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "biomass"
, desc = "Total biomass"
, lname = "Total biomass"
, short = "B[t*o*t]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "lai"
, desc = "Leaf area index"
, lname = "LAI"
, short = "L*A*I"
, unit = untab$m2lom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nplant"
, desc = "Plant density"
, lname = "Plant density"
, short = "n[p*l]"
, unit = untab$plom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "gpp"
, desc = "Gross primary productivity"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.gpp"
, desc = "GPP of the past 12 months"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.gpp"
, desc = "GPP of the past 24 months"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.gpp"
, desc = "GPP of the past 36 months"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "mco"
, desc = "Maintenance costs"
, lname = "Maintenance"
, short = "dot(B)[M*C*o]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "cba"
, desc = "Carbon balance"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.cba"
, desc = "CBA of the past 12 months"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.cba"
, desc = "CBA of the past 24 months"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.cba"
, desc = "CBA of the past 36 months"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "ldrop"
, desc = "Leaf drop"
, lname = "Leaf drop"
, short = "dot(B)[L*D*r]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bstorage"
, desc = "Storage biomass"
, lname = "Storage"
, short = "B[S*t*o*r]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = FALSE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bseeds"
, desc = "Seed biomass"
, lname = "Seed"
, short = "B[S*e*e*d]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = FALSE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "ba"
, desc = "Basal area"
, lname = "Basal area"
, short = "B*A"
, unit = untab$cm2om2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "sm.stress"
, desc = "Soil moisture stress factor"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.sms"
, desc = "PhAP Soil moisture stress"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.sms"
, desc = "SMS of the past 12 months"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.sms"
, desc = "SMS of the past 24 months"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.sms"
, desc = "SMS of the past 36 months"
, lname = "SM Stress"
, short = "beta[S*W]"
, unit = untab$empty
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "mort"
, desc = "Mortality rate"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcpopoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "ncbmort"
, desc = "Mortality rate - Neg. C balance"
, lname = "DD Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcpopoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "dimort"
, desc = "Mortality rate - Density-independent"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcpopoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "recr"
, desc = "Recruitment rate"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcpopoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "growth"
, desc = "Growth rate (DBH)"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcdbhoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "change"
, desc = "Population change"
, lname = "Growth"
, short = "dot(n)[p*l]"
, unit = untab$oneoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.mort"
, desc = "Mortality rate"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.mort"
, desc = "AGB mortality of the past 12 months"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.mort"
, desc = "AGB mortality of the past 24 months"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.mort"
, desc = "AGB mortality of the past 36 months"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.ncbmort"
, desc = "Mortality rate - Neg. C balance"
, lname = "Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = TRUE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.ncbmort"
, desc = "NCB mortality of the past 12 months"
, lname = "DD Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.ncbmort"
, desc = "NCB mortality of the past 24 months"
, lname = "DD Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.ncbmort"
, desc = "NCB mortality of the past 36 months"
, lname = "DD Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.dimort"
, desc = "Mortality rate - Density-independent"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.dimort"
, desc = "DI mortality of the past 12 months"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.dimort"
, desc = "DI mortality of the past 24 months"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.dimort"
, desc = "DI mortality of the past 36 months"
, lname = "DI Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.recr"
, desc = "Recruitment rate"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.recr"
, desc = "Recruitment of the past 12 months"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.recr"
, desc = "Recruitment of the past 24 months"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.recr"
, desc = "Recruitment of the past 36 months"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.growth"
, desc = "Growth rate (AGB)"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcagboyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.growth"
, desc = "Growth of the past 12 months"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.growth"
, desc = "Growth of the past 24 months"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.growth"
, desc = "Growth of the past 36 months"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcagboyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.mort"
, desc = "Mortality rate"
, lname = "Mortality"
, short = "dot(mu)"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.ncbmort"
, desc = "Mortality rate - Neg. C balance"
, lname = "Mortality"
, short = "dot(mu)[D*D]"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.dimort"
, desc = "Mortality rate - Density-independent"
, lname = "Mortality"
, short = "dot(mu)[D*I]"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = TRUE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.recr"
, desc = "Recruitment rate"
, lname = "Recruitment"
, short = "dot(rho)"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = TRUE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "bsa.growth"
, desc = "Growth rate"
, lname = "Growth"
, short = "dot(gamma)"
, unit = untab$pcbaoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = TRUE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "cbamax"
, desc = "Maximum carbon balance"
, lname = "Maximum CB"
, short = "C*B[m*a*x]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "cbarel"
, desc = "Relative carbon balance"
, lname = "Relative CB"
, short = "C*B[r*e*l]"
, unit = untab$empty
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "demand"
, desc = "Water demand"
, lname = "Water demand"
, short = "W[D*e*m]"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "supply"
, desc = "Water supply"
, lname = "Water supply"
, short = "W[S*u*p]"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "rain"
, desc = "Precipitation"
, lname = "Precipitation"
, short = "dot(R)"
, unit = untab$mmoyr
, f.aggr = "sum"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "runoff"
, desc = "Total runoff"
, lname = "Runoff"
, short = "dot(W)[R*O]"
, unit = untab$mmoyr
, f.aggr = "sum"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "intercepted"
, desc = "Canopy interception"
, lname = "Intercepted"
, short = "dot(W)[I*n*t]"
, unit = untab$mmoyr
, f.aggr = "sum"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.rain"
, desc = "Previous 12 months rainfall"
, lname = "Rainfall"
, short = "dot(R)"
, unit = untab$mmoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.rain"
, desc = "Previous 24 months rainfall"
, lname = "Rainfall"
, short = "dot(R)"
, unit = untab$mmoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.rain"
, desc = "Previous 36 months rainfall"
, lname = "Rainfall"
, short = "dot(R)"
, unit = untab$mmoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.lt.090"
, desc = "Drought length"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.090
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.lt.100"
, desc = "Drought length"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.100
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.lt.110"
, desc = "Drought length"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.110
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.lt.120"
, desc = "Drought length"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.120
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.wdef"
, desc = "Drought length (ET)"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.wdef
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nmon.mdef"
, desc = "Drought length (Malhi)"
, lname = "Drought length"
, short = "t[d*r*g*t]"
, unit = untab$nmo.wdef
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "npp"
, desc = "Net Primary Production"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.npp"
, desc = "NPP of the past 12 months"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.npp"
, desc = "NPP of the past 24 months"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.npp"
, desc = "NPP of the past 36 months"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "dcbadt"
, desc = "Change in C Balance"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.dcbadt"
, desc = "Delta CB of the past 12 months"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.dcbadt"
, desc = "Delta CB of the past 24 months"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.dcbadt"
, desc = "Delta CB of the past 36 months"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "rue"
, desc = "Rainfall Use Efficiency"
, lname = "RUE"
, short = "R*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.rue"
, desc = "RUE of the past 12 months"
, lname = "RUE"
, short = "R*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.rue"
, desc = "RUE of the past 24 months"
, lname = "RUE"
, short = "R*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.rue"
, desc = "RUE of the past 36 months"
, lname = "RUE"
, short = "R*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "water.deficit"
, desc = "Water deficit (ED-2.2)"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mm
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.mwd"
, desc = "MWD of the past 12 months"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mm
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.mwd"
, desc = "MWD of the past 24 months"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mm
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.mwd"
, desc = "MWD of the past 36 months"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mm
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "malhi.deficit"
, desc = "Water deficit (Malhi 2009)"
, lname = "MWD"
, short = "-Delta*W[m*a*x]"
, unit = untab$mmoyr
, f.aggr = "max"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "atm.temp"
, desc = "Air temperature"
, lname = "Air Temp."
, short = "T[a*i*r]"
, unit = untab$degC
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.temp"
, desc = "Leaf temperature"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.ltemp"
, desc = "PhAP Leaf temperature"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.ltemp"
, desc = "Leaf temp. of past 12 months"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.ltemp"
, desc = "Leaf temp. of past 24 months"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.ltemp"
, desc = "Leaf temp. of past 36 months"
, lname = "Leaf Temp."
, short = "T[l*e*a*f]"
, unit = untab$degC
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.water"
, desc = "Leaf intercepted water"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lwater"
, desc = "PhAP Leaf intercepted water"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lwater"
, desc = "Leaf water of past 12 months"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lwater"
, desc = "Leaf water of past 24 months"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.lwater"
, desc = "Leaf water of past 36 months"
, lname = "Leaf Water"
, short = "W[l*e*a*f]"
, unit = untab$kgwom2l
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "rshort"
, desc = "Incoming shortwave radiation"
, lname = "SW Rad."
, short = "S*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.rshort"
, desc = "SW of the past 12 months"
, lname = "SW Rad."
, short = "S*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.rshort"
, desc = "SW of the past 24 months"
, lname = "SW Rad."
, short = "S*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.rshort"
, desc = "SW of the past 36 months"
, lname = "SW Rad."
, short = "S*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "rlong"
, desc = "Incoming longwave radiation"
, lname = "LW Rad."
, short = "L*W*symbol(\"\335\")"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "atm.vpd"
, desc = "Air vapour pressure deficit"
, lname = "AVPD"
, short = "A*V*P*D"
, unit = untab$pa
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.vpd"
, desc = "Leaf vapour pressure deficit"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lvpd"
, desc = "PhAP Leaf VPD"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lvpd"
, desc = "Leaf VPD of the past 12 months"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.lvpd"
, desc = "Leaf VPD of the past 24 months"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.lvpd"
, desc = "Leaf VPD of the past 36 months"
, lname = "LVPD"
, short = "L*V*P*D"
, unit = untab$hpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "paw"
, desc = "Potential Available Water"
, lname = "PAW"
, short = "P*A*W"
, unit = untab$pcsat
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "smpot"
, desc = "Soil Matric Potential"
, lname = "Matric Potl."
, short = "Psi[m]"
, unit = untab$mpa
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.smpot"
, desc = "SMPot of the past 12 months"
, lname = "Matric Potl."
, short = "Psi[m]"
, unit = untab$mpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.smpot"
, desc = "SMPot of the past 24 months"
, lname = "Matric Potl."
, short = "Psi[m]"
, unit = untab$mpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.smpot"
, desc = "SMPot of the past 36 months"
, lname = "Matric Potl."
, short = "Psi[m]"
, unit = untab$mpa
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = TRUE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "nep"
, desc = "Net Ecosystem Productivity"
, lname = "NEP"
, short = "N*E*P"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "reco"
, desc = "Ecosystem Respiration"
, lname = "Ecos. Resp."
, short = "R[E*c*o]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "fast.soil.c"
, desc = "Fast soil carbon"
, lname = "FSC"
, short = "C[f*a*s*t]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "struct.soil.c"
, desc = "Structural soil carbon"
, lname = "StSC"
, short = "C[s*t*r*u*c*t]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "slow.soil.c"
, desc = "Slow soil carbon"
, lname = "SSC"
, short = "C[s*l*o*w]"
, unit = untab$kgcom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "het.resp"
, desc = "Heterotrophic Respiration"
, lname = "Het. Resp."
, short = "R[H*e*t]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "plant.resp"
, desc = "Plant Respiration"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$kgcom2oyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.plresp"
, desc = "Pl. Resp. of the past 12 months"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.plresp"
, desc = "Pl. Resp. of the past 24 months"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.plresp"
, desc = "Pl. Resp. of the past 36 months"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$kgcom2oyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "hflxlc"
, desc = "Leaf sensible heat"
, lname = "Sensible heat"
, short = "dot(theta)[L*C]"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "wflxlc"
, desc = "Leaf Evaporation"
, lname = "Leaf Evap."
, short = "dot(epsilon)[L*e*a*f]"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "transp"
, desc = "Leaf Transpiration"
, lname = "Leaf Transp."
, short = "dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.transp"
, desc = "Transp. of the past 12 months"
, lname = "Leaf Transp."
, short = "dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.transp"
, desc = "Transp. of the past 24 months"
, lname = "Leaf Transp."
, short = "dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.transp"
, desc = "Transp. of the past 36 months"
, lname = "Leaf Transp."
, short = "dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "et"
, desc = "Evapotranspiration"
, lname = "ET"
, short = "dot(epsilon)+dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.et"
, desc = "ET of the past 12 months"
, lname = "ET"
, short = "dot(epsilon)+dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.et"
, desc = "ET of the past 24 months"
, lname = "ET"
, short = "dot(epsilon)+dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.et"
, desc = "ET of the past 36 months"
, lname = "ET"
, short = "dot(epsilon)+dot(tau)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "evap"
, desc = "Total evaporation"
, lname = "ET"
, short = "dot(epsilon)"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.evap"
, desc = "Evap. of the past 12 months"
, lname = "ET"
, short = "dot(epsilon)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.evap"
, desc = "Evap. of the past 24 months"
, lname = "ET"
, short = "dot(epsilon)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.evap"
, desc = "Evap. of the past 36 months"
, lname = "ET"
, short = "dot(epsilon)"
, unit = untab$kgwom2oday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.gpp"
, desc = "Mean Gross Primary Production"
, lname = "GPP"
, short = "G*P*P[I*n*d]"
, unit = untab$kgcoployr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.npp"
, desc = "Mean Net Primary Production"
, lname = "NPP"
, short = "bar(N*P*P)"
, unit = untab$kgcoployr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.plant.resp"
, desc = "Mean Plant Respiration"
, lname = "Auto. Resp."
, short = "bar(R[A*u*t*o])"
, unit = untab$kgcoployr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.cba"
, desc = "Mean Carbon balance"
, lname = "C Balance"
, short = "bar(C[B*a*l])"
, unit = untab$kgcopl
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.mco"
, desc = "Mean Maintenance Costs"
, lname = "Maintenance"
, short = "bar(B[M*C*o])"
, unit = untab$kgcoployr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.hflxlc"
, desc = "Mean Leaf sensible heat flux"
, lname = "Sens. heat"
, short = "dot(theta)[L*e*a*f]"
, unit = untab$wom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.wflxlc"
, desc = "Mean Leaf evaporation"
, lname = "Leaf evap."
, short = "dot(theta)[L*e*a*f]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "i.transp"
, desc = "Mean Transpiration"
, lname = "Leaf transp."
, short = "dot(tau)"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "hflxgc"
, desc = "Sensible heat - Gnd->CAS"
, lname = "Gnd. Sens. heat"
, short = "dot(theta)[G*n*d]"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "hflxca"
, desc = "Sensible heat - CAS->ATM"
, lname = "EF - sensible"
, short = "dot(theta)[E*F]"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "wflxgc"
, desc = "Water flux - Gnd->CAS"
, lname = "Ground Evap."
, short = "dot(epsilon)[G*n*d]"
, unit = untab$wom2
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "wflxca"
, desc = "Water flux - CAS->ATM"
, lname = "EF - water"
, short = "dot(epsilon)[E*F]"
, unit = untab$kgwom2oday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "cue"
, desc = "Carbon use efficiency"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.cue"
, desc = "CUE of the past 12 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.cue"
, desc = "CUE of the past 24 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.cue"
, lname = "CUE"
, desc = "CUE of the past 36 months"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "ecue"
, desc = "Effective Carbon use efficiency"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.ecue"
, desc = "ECUE of the past 12 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.ecue"
, desc = "ECUE of the past 24 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.ecue"
, desc = "ECUE of the past 36 months"
, lname = "CUE"
, short = "C*U*E"
, unit = untab$kgcokgc
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "wue"
, desc = "Actual Water use efficiency"
, lname = "LWUE"
, short = "L*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.wue"
, desc = "LWUE of the past 12 months"
, lname = "LWUE"
, short = "L*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.wue"
, desc = "LWUE of the past 24 months"
, lname = "LWUE"
, short = "L*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.wue"
, desc = "LWUE of the past 36 months"
, lname = "LWUE"
, short = "L*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "etue"
, desc = "Bulk water use efficiency"
, lname = "BWUE"
, short = "B*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.etue"
, desc = "BWUE of the past 12 months"
, lname = "BWUE"
, short = "B*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.etue"
, desc = "BWUE of the past 24 months"
, lname = "BWUE"
, short = "B*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.etue"
, desc = "BWUE of the past 36 months"
, lname = "BWUE"
, short = "B*W*U*E"
, unit = untab$gcokgw
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.gbw"
, desc = "Leaf Bnd. Lyr. Conductance"
, lname = "LBL Condct."
, short = "g[b*w]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lgbw"
, desc = "PhAP Leaf Bnd. Lyr. Conduct."
, lname = "LBL Condct."
, short = "g[b*w]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.gsw"
, desc = "Leaf stomatal Conductance"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lgsw"
, desc = "PhAP Leaf stomatal Conductance"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lgsw"
, desc = "GSW of the past 12 months"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.lgsw"
, desc = "GSW of the past 24 months"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.lgsw"
, desc = "GSW of the past 36 months"
, lname = "Stom. Condct."
, short = "g[s*w]"
, unit = untab$kgwom2loday
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.gpp"
, desc = "Gross Primary Productivity"
, lname = "GPP"
, short = "G*P*P"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.plant.resp"
, desc = "Plant respiration"
, lname = "Auto. Resp."
, short = "R[A*u*t*o]"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.npp"
, desc = "Net Primary Productivity"
, lname = "NPP"
, short = "N*P*P"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.dcbadt"
, desc = "Change in C Balance"
, lname = "Delta C Bal."
, short = "Delta*C[B*a*l]"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.mco"
, desc = "Maintenance costs"
, lname = "Maintenance"
, short = "dot(B)[M*C*o]"
, unit = untab$pcbiooyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.cba"
, desc = "Carbon balance"
, lname = "C Balance"
, short = "C[B*a*l]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.bstorage"
, desc = "Relative storage biomass"
, lname = "Storage"
, short = "B[S*t*o*r]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.bleaf"
, desc = "Relative leaf biomass"
, lname = "Leaf"
, short = "B[L*e*a*f]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
# n = n + 1
# scen.ts[[n]] = list( vname = "f.bstem"
# , desc = "Relative stem biomass"
# , lname = "Stem"
# , short = "B[S*t*e*m]"
# , unit = untab$kgcokgc
# , f.aggr = "mean"
# , add = 0
# , mult = 1
# , pftvar = TRUE
# , dbhvar = TRUE
# , mort = FALSE
# , recr = FALSE
# , plog = FALSE
# , plog.dbh = FALSE
# , plt = TRUE
# )#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.broot"
, desc = "Relative root biomass"
, lname = "Root"
, short = "B[R*o*o*t]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "f.bseeds"
, desc = "Relative seed biomass"
, lname = "Seed"
, short = "B[S*e*e*d]"
, unit = untab$kgcokgc
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.par"
, desc = "Absorbed PAR - Leaf"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "mean"
, add = 0
, mult = 1.e6
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "phap.lpar"
, desc = "PhAP Absorbed PAR - Leaf"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "mean"
, add = 0
, mult = 1.e6
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.lpar"
, desc = "LPAR of the past 12 months"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "get.last"
, add = 0
, mult = 1.e6
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.lpar"
, desc = "LPAR of the past 24 months"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "get.last"
, add = 0
, mult = 1.e6
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.lpar"
, desc = "LPAR of the past 36 months"
, lname = "Leaf PAR"
, short = "P*A*R[L*e*a*f]"
, unit = untab$umolom2los
, f.aggr = "get.last"
, add = 0
, mult = 1.e6
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.rshort"
, desc = "Absorbed SW - Leaf"
, lname = "Leaf SW"
, short = "S*W[L*e*a*f]"
, unit = untab$wom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "leaf.rlong"
, desc = "Absorbed LW - Leaf"
, lname = "Leaf LW"
, short = "L*W[L*e*a*f]"
, unit = untab$wom2l
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "agb.change"
, desc = "AGB change"
, lname = "AGB change"
, short = "delta[A*G*B]"
, unit = untab$oneoyr
, f.aggr = "mean"
, add = 0
, mult = 1
, pftvar = TRUE
, dbhvar = TRUE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.1yr.change"
, desc = "AGB change of the past 12 months"
, lname = "AGB change"
, short = "delta[A*G*B]"
, unit = untab$oneoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.2yr.change"
, desc = "AGB change of the past 24 months"
, lname = "AGB change"
, short = "delta[A*G*B]"
, unit = untab$oneoyr
, f.aggr = "get.last"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
n = n + 1
scen.ts[[n]] = list( vname = "last.3yr.change"
, desc = "AGB change of the past 36 months"
, lname = "AGB change"
, short = "delta[A*G*B]"
, unit = untab$oneoyr
, f.aggr = "mean.log"
, add = 0
, mult = 1
, pftvar = FALSE
, dbhvar = FALSE
, mort = FALSE
, recr = FALSE
, plog = FALSE
, plog.dbh = FALSE
, plt = TRUE
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
scen.ts = data.frame( apply( X = sapply(X=scen.ts,FUN=c), MARGIN = 1, FUN = unlist )
, stringsAsFactors = FALSE
)#end data.frame
for (nl in c("pftvar","dbhvar","mort","recr","plog","plog.dbh","plt")){
scen.ts[[nl]] = as.logical(scen.ts[[nl]])
}#end for
for (nl in c("add","mult")){
scen.ts[[nl]] = as.numeric(scen.ts[[nl]])
}#end for
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the plot of size and PFT-dependent box plot. #
# Units, description, and log scale will be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts, #
# and they must be PFT-dependent or PFT- and DBH- dependent (in which case two #
# plots will be generated). #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
scen.szpft = data.frame( vname = c( "agb", "lai", "ba"
, "recr", "mort", "ncbmort"
, "dimort", "growth", "change"
, "agb.recr", "agb.mort", "agb.ncbmort"
, "agb.dimort", "agb.growth", "agb.change"
, "gpp", "npp", "plant.resp"
, "dcbadt", "cba", "mco"
, "bstorage", "bseeds", "sm.stress"
, "phap.sms", "wflxlc", "transp"
, "i.gpp", "i.plant.resp", "i.npp"
, "i.cba", "i.transp", "cbamax"
, "i.hflxlc", "i.wflxlc", "i.mco"
, "leaf.gsw", "phap.lgsw", "f.gpp"
, "f.npp", "f.mco", "f.dcbadt"
, "f.cba", "f.bstorage", "f.bleaf"
, "f.bseeds", "rain", "runoff"
, "intercepted", "atm.vpd", "leaf.vpd"
, "phap.lvpd", "leaf.water", "leaf.temp"
, "phap.ltemp", "atm.temp", "leaf.par"
, "phap.lpar", "nplant", "nmon.wdef"
, "wood.dens", "last.1yr.wue", "last.1yr.etue"
, "last.1yr.rue", "last.1yr.cue", "last.1yr.ecue"
, "can.depth", "can.area", "wue"
, "etue", "rue", "cue"
, "ecue"
)#end c
, stringsAsFactors = FALSE
)#end vname
scen.szpft = data.frame( vname = c( "agb", "lai", "ba"
, "agb.ncbmort", "agb.growth", "agb.change"
, "sm.stress", "leaf.gsw", "leaf.vpd"
, "leaf.par")
, stringsAsFactors = FALSE
)#end vname
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(scen.szpft))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
sz.idx = match(scen.szpft$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
sz.miss = is.na(sz.idx)
if (any(sz.miss)){
cat(" - The following variables in scen.szpft are missing from scen.ts:","\n")
cat(paste(" * ",scen.szpft$vname[sz.miss],sep=""),sep="\n")
stop(" - All variables defined in scen.szpft must be defined in scen.ts!!!")
}#end if(any(sz.miss))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) scen.szpft[[wn]] = scen.ts[[wn]][sz.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the bar plot of size and PFT-dependent, long- #
# term means for each season. #
# Units, description, and log scale will be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts, #
# and they must be PFT- and DBH- dependent. Avoid variables that can be #
# negative (e.g. npp), or that cannot be stacked (e.g. sm.stress) #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
scen.barplot = data.frame( vname = c( "agb", "lai", "ba"
, "gpp", "ldrop", "mco"
, "transp", "plant.resp", "bseeds"
, "bstorage"
)#end c
, stringsAsFactors = FALSE
)#end vname
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(scen.barplot))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
bar.idx = match(scen.barplot$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
bar.miss = is.na(bar.idx)
if (any(bar.miss)){
cat(" - The following variables in scen.barplot are missing from scen.ts:","\n")
cat(paste(" * ",scen.barplot$vname[bar.miss],sep=""),sep="\n")
stop(" - All variables defined in scen.barplot must be defined in scen.ts!!!")
}#end if(any(bar.miss))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) scen.barplot[[wn]] = scen.ts[[wn]][bar.idx]
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# All variables here must be PFT- and DBH- dependent, so we make sure that they are #
# indeed. #
#---------------------------------------------------------------------------------------#
if (! all(scen.barplot$pftvar & scen.barplot$dbhvar)){
not.pftdbh = ! ( scen.barplot$pftvar & scen.barplot$dbhvar)
cat (" - The following variables in scen.barplot are not PFT+DBH variables:","\n")
cat (paste(" * ",scen.barplot$vname[not.pftdbh],sep=""),sep="\n")
stop(" - All variables defined in scen.barplot must be PFT+DBH variables!!!")
}#end if
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# XYZ plots, to explore the parameter space. Units, description, and log scale will #
# be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts!! #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name, legend position or colour scheme. ---#
scen.xyz = list()
scen.xyz$xvar = list( list( vname = "f.bseeds" , leg = "centre" )
, list( vname = "f.bstorage" , leg = "centre" )
, list( vname = "f.cba" , leg = "centre" )
, list( vname = "atm.temp" , leg = "centre" )
, list( vname = "atm.vpd" , leg = "centre" )
, list( vname = "last.1yr.change" , leg = "centre" )
, list( vname = "last.1yr.et" , leg = "centre" )
, list( vname = "last.1yr.evap" , leg = "centre" )
, list( vname = "last.1yr.sms" , leg = "centre" )
, list( vname = "last.1yr.gpp" , leg = "centre" )
, list( vname = "last.1yr.growth" , leg = "centre" )
, list( vname = "last.1yr.lgsw" , leg = "centre" )
, list( vname = "last.1yr.ltemp" , leg = "centre" )
, list( vname = "last.1yr.lwater" , leg = "centre" )
, list( vname = "last.1yr.lvpd" , leg = "centre" )
, list( vname = "last.1yr.mwd" , leg = "centre" )
, list( vname = "last.1yr.ncbmort", leg = "centre" )
, list( vname = "last.1yr.npp" , leg = "centre" )
, list( vname = "last.1yr.plresp" , leg = "centre" )
, list( vname = "last.1yr.rshort" , leg = "centre" )
, list( vname = "last.1yr.rain" , leg = "centre" )
, list( vname = "last.1yr.smpot" , leg = "centre" )
, list( vname = "last.1yr.transp" , leg = "centre" )
, list( vname = "last.1yr.dcbadt" , leg = "centre" )
, list( vname = "nmon.wdef" , leg = "centre" )
)#end list
scen.xyz$yvar = scen.xyz$xvar
scen.xyz$zvar = list( list( vname = "agb"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "wood.dens"
, col.scheme = "iclife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.growth"
, col.scheme = "clife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.ncbmort"
, col.scheme = "iclife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.change"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.cue"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.ecue"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.wue"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
scen.xyz$xvar = data.frame( apply(X=sapply(X=scen.xyz$xvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
scen.xyz$yvar = data.frame( apply(X=sapply(X=scen.xyz$yvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
scen.xyz$zvar = data.frame( apply(X=sapply(X=scen.xyz$zvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the XYZ list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Get all the names that shall be added. ------------------------------------------#
which.names = names(scen.ts)
keep = ( ! which.names %in% union( union( names(scen.xyz$xvar)
, names(scen.xyz$yvar)
)#end union
, names(scen.xyz$zvar)
)#end union
)#end keep
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
x.idx = match(scen.xyz$xvar$vname,scen.ts$vname)
y.idx = match(scen.xyz$yvar$vname,scen.ts$vname)
z.idx = match(scen.xyz$zvar$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
x.sel = is.na(x.idx)
y.sel = is.na(y.idx)
z.sel = is.na(z.idx)
if (any(x.sel) | any(y.sel) | any(z.sel)){
if (any(x.sel)){
cat(" - The following variables in scen.xyz$xvar are missing from scen.ts:","\n")
cat(paste(" * ",scen.xyz$xvar$vname[x.sel],sep=""),sep="\n")
}#end if(any(x.sel))
if (any(y.sel)){
cat(" - The following variables in scen.xyz$yvar are missing from scen.ts:","\n")
cat(paste(" * ",scen.xyz$yvar$vname[y.sel],sep=""),sep="\n")
}#end if(any(y.sel))
if (any(z.sel)){
cat(" - The following variables in scen.xyz$zvar are missing from scen.ts:","\n")
cat(paste(" * ",scen.xyz$zvar$vname[z.sel],sep=""),sep="\n")
}#end if(any(z.sel))
stop(" - All variables defined in scen.xyz must be defined in scen.ts!!!")
}#end if
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names){
scen.xyz$xvar[[wn]] = scen.ts[[wn]][x.idx]
scen.xyz$yvar[[wn]] = scen.ts[[wn]][y.idx]
scen.xyz$zvar[[wn]] = scen.ts[[wn]][z.idx]
}#end for
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the scenario comparison panel, with each panel #
# representing a collection of scenarios. Only mean differences will be plotted. Because #
# this works with differences, log variables will not be plotted as log variables. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
scen.comp = list( list( vname = "wood.dens", low = "green" , high = "purple" )
, list( vname = "agb", low = "purple" , high = "green" )
, list( vname = "lai", low = "purple" , high = "green" )
, list( vname = "ba", low = "purple" , high = "green" )
, list( vname = "nplant", low = "purple" , high = "green" )
, list( vname = "gpp", low = "purple" , high = "green" )
, list( vname = "npp", low = "purple" , high = "green" )
, list( vname = "mco", low = "purple" , high = "green" )
, list( vname = "cba", low = "purple" , high = "green" )
, list( vname = "dcbadt", low = "purple" , high = "green" )
, list( vname = "ldrop", low = "green" , high = "purple" )
, list( vname = "bstorage", low = "purple" , high = "green" )
, list( vname = "bseeds", low = "purple" , high = "green" )
, list( vname = "sm.stress", low = "blue" , high = "orangered")
, list( vname = "mort", low = "green" , high = "purple" )
, list( vname = "recr", low = "purple" , high = "green" )
, list( vname = "growth", low = "purple" , high = "green" )
, list( vname = "ncbmort", low = "green" , high = "purple" )
, list( vname = "dimort", low = "green" , high = "purple" )
, list( vname = "change", low = "green" , high = "purple" )
, list( vname = "agb.mort", low = "green" , high = "purple" )
, list( vname = "agb.recr", low = "purple" , high = "green" )
, list( vname = "agb.growth", low = "purple" , high = "green" )
, list( vname = "agb.ncbmort", low = "green" , high = "purple" )
, list( vname = "agb.dimort", low = "green" , high = "purple" )
, list( vname = "agb.change", low = "green" , high = "purple" )
, list( vname = "rain", low = "orangered", high = "blue" )
, list( vname = "runoff", low = "orangered", high = "blue" )
, list( vname = "intercepted", low = "orangered", high = "blue" )
, list( vname = "water.deficit", low = "blue" , high = "orangered")
, list( vname = "atm.temp", low = "blue" , high = "orangered")
, list( vname = "leaf.temp", low = "blue" , high = "orangered")
, list( vname = "rshort", low = "grey" , high = "blue" )
, list( vname = "rlong", low = "blue" , high = "grey" )
, list( vname = "atm.vpd", low = "blue" , high = "orangered")
, list( vname = "leaf.vpd", low = "blue" , high = "orangered")
, list( vname = "smpot", low = "blue" , high = "orangered")
, list( vname = "nep", low = "purple" , high = "green" )
, list( vname = "reco", low = "blue" , high = "orangered")
, list( vname = "fast.soil.c", low = "blue" , high = "orangered")
, list( vname = "struct.soil.c", low = "blue" , high = "orangered")
, list( vname = "slow.soil.c", low = "blue" , high = "orangered")
, list( vname = "het.resp", low = "blue" , high = "orangered")
, list( vname = "plant.resp", low = "blue" , high = "orangered")
, list( vname = "hflxlc", low = "blue" , high = "orangered")
, list( vname = "wflxlc", low = "orangered", high = "blue" )
, list( vname = "transp", low = "orangered", high = "blue" )
, list( vname = "hflxgc", low = "blue" , high = "orangered")
, list( vname = "hflxca", low = "blue" , high = "orangered")
, list( vname = "wflxgc", low = "orangered", high = "blue" )
, list( vname = "wflxca", low = "orangered", high = "blue" )
, list( vname = "wue", low = "orangered", high = "blue" )
, list( vname = "cue", low = "purple" , high = "green" )
, list( vname = "ecue", low = "purple" , high = "green" )
, list( vname = "etue", low = "orangered", high = "blue" )
, list( vname = "leaf.gbw", low = "orangered", high = "blue" )
, list( vname = "leaf.gsw", low = "orangered", high = "blue" )
, list( vname = "leaf.par", low = "blue" , high = "orangered")
, list( vname = "leaf.rshort", low = "blue" , high = "orangered")
, list( vname = "leaf.rlong", low = "blue" , high = "orangered")
)#end list
#------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#------------------------------------------------------------------------------------#
scen.comp = data.frame( apply(X=sapply(X=scen.comp,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(scen.comp))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(scen.comp$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in scen.comp are missing from scen.ts:","\n")
cat(paste(" * ",scen.comp$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in scen.comp must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) scen.comp[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the box plot comparing the scenarios, each #
# plot having the scenario[[1]] in the X scale, and scenario 2 in the group of box plots #
# Panels are panels. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
panel.box = data.frame( vname = c( "agb", "lai", "ba"
, "gpp", "npp", "mco"
, "cba", "ldrop", "bstorage"
, "bseeds", "sm.stress", "phap.sms"
, "mort", "ncbmort", "dimort"
, "recr", "growth", "agb.mort"
, "agb.ncbmort", "agb.dimort", "agb.recr"
, "agb.growth", "rain","water.deficit"
, "runoff", "atm.temp", "leaf.temp"
, "phap.ltemp", "rshort", "rlong"
, "atm.vpd", "leaf.vpd", "phap.lvpd"
, "smpot", "nep", "reco"
, "fast.soil.c","struct.soil.c", "slow.soil.c"
, "het.resp", "plant.resp", "hflxlc"
, "wflxlc", "transp", "hflxgc"
, "hflxca", "wflxgc", "wflxca"
, "wue", "leaf.gbw", "leaf.gsw"
, "phap.lgsw", "leaf.par", "phap.lpar"
, "leaf.rshort", "nplant", "cue"
, "ecue", "wood.dens", "can.depth"
, "can.area", "dcbadt"
)#end vname
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(panel.box))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(panel.box$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in panel.box are missing from scen.ts:","\n")
cat(paste(" * ",panel.box$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in panel.box must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) panel.box[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the line plot comparing the scenarios, each #
# plot having the scenario[[1]] in the X scale, and scenario 2 in the group of box plots #
# Panels are panels. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
panel.summ = data.frame( vname = c( "agb", "lai", "ba"
, "gpp", "npp", "mco"
, "cba", "ldrop", "bstorage"
, "bseeds", "sm.stress", "phap.sms"
, "mort", "ncbmort", "dimort"
, "recr", "growth", "agb.mort"
, "agb.ncbmort", "agb.dimort", "agb.recr"
, "agb.growth", "rain","water.deficit"
, "runoff", "atm.temp", "leaf.temp"
, "phap.ltemp", "rshort", "rlong"
, "atm.vpd", "leaf.vpd", "phap.lvpd"
, "smpot", "nep", "reco"
, "fast.soil.c","struct.soil.c", "slow.soil.c"
, "het.resp", "plant.resp", "hflxlc"
, "wflxlc", "transp", "hflxgc"
, "hflxca", "wflxgc", "wflxca"
, "wue", "leaf.gbw", "leaf.gsw"
, "phap.lgsw", "leaf.par", "phap.lpar"
, "leaf.rshort", "nplant", "cue"
, "ecue", "wood.dens", "can.depth"
, "can.area", "dcbadt"
)#end vname
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(panel.summ))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(panel.summ$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in panel.summ are missing from scen.ts:","\n")
cat(paste(" * ",panel.summ$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in panel.summ must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) panel.summ[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# XYZ plots, to explore the parameter space. Units, description, and log scale will #
# be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts!! #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name, legend position or colour scheme. ---#
panel.xyz = list()
panel.xyz$xvar = list( list( vname = "f.bstorage" , leg = "centre" )
, list( vname = "f.dcbadt" , leg = "centre" )
, list( vname = "last.1yr.change" , leg = "centre" )
, list( vname = "last.1yr.cue" , leg = "centre" )
, list( vname = "last.1yr.dcbadt" , leg = "centre" )
, list( vname = "last.1yr.ecue" , leg = "centre" )
, list( vname = "last.1yr.et" , leg = "centre" )
, list( vname = "last.1yr.etue" , leg = "centre" )
, list( vname = "last.1yr.evap" , leg = "centre" )
, list( vname = "last.1yr.sms" , leg = "centre" )
, list( vname = "last.1yr.gpp" , leg = "centre" )
, list( vname = "last.1yr.growth" , leg = "centre" )
, list( vname = "last.1yr.lpar" , leg = "centre" )
, list( vname = "last.1yr.lgsw" , leg = "centre" )
, list( vname = "last.1yr.ltemp" , leg = "centre" )
, list( vname = "last.1yr.lwater" , leg = "centre" )
, list( vname = "last.1yr.lvpd" , leg = "centre" )
, list( vname = "last.1yr.mwd" , leg = "centre" )
, list( vname = "last.1yr.ncbmort", leg = "centre" )
, list( vname = "last.1yr.npp" , leg = "centre" )
, list( vname = "last.1yr.plresp" , leg = "centre" )
, list( vname = "last.1yr.rain" , leg = "centre" )
, list( vname = "last.1yr.rue" , leg = "centre" )
, list( vname = "last.1yr.smpot" , leg = "centre" )
, list( vname = "last.1yr.transp" , leg = "centre" )
, list( vname = "last.1yr.wue" , leg = "centre" )
, list( vname = "nmon.wdef" , leg = "centre" )
)#end list
panel.xyz$yvar = panel.xyz$xvar
panel.xyz$zvar = list( list( vname = "agb"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "f.bstorage"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.change"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.cue"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.dcbadt"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.ecue"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.etue"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.gpp"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.growth"
, col.scheme = "clife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.ncbmort"
, col.scheme = "iclife"
, plog.xyz = TRUE
)#end list
, list( vname = "last.1yr.npp"
, col.scheme = "clife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.plresp"
, col.scheme = "iclife"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.rue"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.transp"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
, list( vname = "last.1yr.wue"
, col.scheme = "ipanoply"
, plog.xyz = FALSE
)#end list
, list( vname = "wood.dens"
, col.scheme = "iclife"
, plog.xyz = FALSE
)#end list
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
panel.xyz$xvar = data.frame( apply(X=sapply(X=panel.xyz$xvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
panel.xyz$yvar = data.frame( apply(X=sapply(X=panel.xyz$yvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
panel.xyz$zvar = data.frame( apply(X=sapply(X=panel.xyz$zvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the XYZ list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Get all the names that shall be added. ------------------------------------------#
which.names = names(scen.ts)
keep = ( ! which.names %in% union( union( names(panel.xyz$xvar)
, names(panel.xyz$yvar)
)#end union
, names(panel.xyz$zvar)
)#end union
)#end keep
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
x.idx = match(panel.xyz$xvar$vname,scen.ts$vname)
y.idx = match(panel.xyz$yvar$vname,scen.ts$vname)
z.idx = match(panel.xyz$zvar$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
x.sel = is.na(x.idx)
y.sel = is.na(y.idx)
z.sel = is.na(z.idx)
if (any(x.sel) | any(y.sel) | any(z.sel)){
if (any(x.sel)){
cat(" - The following variables in panel.xyz$xvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.xyz$xvar$vname[x.sel],sep=""),sep="\n")
}#end if(any(x.sel))
if (any(y.sel)){
cat(" - The following variables in panel.xyz$yvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.xyz$yvar$vname[y.sel],sep=""),sep="\n")
}#end if(any(y.sel))
if (any(z.sel)){
cat(" - The following variables in panel.xyz$zvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.xyz$zvar$vname[z.sel],sep=""),sep="\n")
}#end if(any(z.sel))
stop(" - All variables defined in panel.xyz must be defined in scen.ts!!!")
}#end if
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names){
panel.xyz$xvar[[wn]] = scen.ts[[wn]][x.idx]
panel.xyz$yvar[[wn]] = scen.ts[[wn]][y.idx]
panel.xyz$zvar[[wn]] = scen.ts[[wn]][z.idx]
}#end for
for (nl in c("plog.xyz")){
panel.xyz$zvar[[nl]] = as.logical(panel.xyz$zvar[[nl]])
}#end for
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# XYZ plots, to explore the parameter space but interpolated to a map. Units, #
# description, and log scale will be copied from scen.ts. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts!! #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name, legend position or colour scheme. ---#
panel.map = list()
panel.map$xvar = list( list( vname = "last.1yr.mwd" , leg = "centre" )
, list( vname = "nmon.wdef" , leg = "centre" )
, list( vname = "last.1yr.sms" , leg = "centre" )
, list( vname = "last.1yr.smpot" , leg = "centre" )
, list( vname = "last.1yr.lvpd" , leg = "centre" )
)#end list
panel.map$yvar = panel.map$xvar
panel.map$zvar = list( list( vname = "last.1yr.ncbmort"
, col.scheme = "iclife"
, plog.map = TRUE
)#end list
, list( vname = "last.1yr.growth"
, col.scheme = "clife"
, plog.map = TRUE
)#end list
, list( vname = "last.1yr.change"
, col.scheme = "clife"
, plog.map = FALSE
)#end list
, list( vname = "last.1yr.cue"
, col.scheme = "clife"
, plog.map = FALSE
)#end list
, list( vname = "last.1yr.wue"
, col.scheme = "ipanoply"
, plog.map = FALSE
)#end list
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
panel.map$xvar = data.frame( apply(X=sapply(X=panel.map$xvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
panel.map$yvar = data.frame( apply(X=sapply(X=panel.map$yvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
panel.map$zvar = data.frame( apply(X=sapply(X=panel.map$zvar,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the XYZ list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Get all the names that shall be added. ------------------------------------------#
which.names = names(scen.ts)
keep = ( ! which.names %in% union( union( names(panel.map$xvar)
, names(panel.map$yvar)
)#end union
, names(panel.map$zvar)
)#end union
)#end keep
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
x.idx = match(panel.map$xvar$vname,scen.ts$vname)
y.idx = match(panel.map$yvar$vname,scen.ts$vname)
z.idx = match(panel.map$zvar$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
x.sel = is.na(x.idx)
y.sel = is.na(y.idx)
z.sel = is.na(z.idx)
if (any(x.sel) | any(y.sel) | any(z.sel)){
if (any(x.sel)){
cat(" - The following variables in panel.map$xvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.map$xvar$vname[x.sel],sep=""),sep="\n")
}#end if(any(x.sel))
if (any(y.sel)){
cat(" - The following variables in panel.map$yvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.map$yvar$vname[y.sel],sep=""),sep="\n")
}#end if(any(y.sel))
if (any(z.sel)){
cat(" - The following variables in panel.map$zvar are missing from scen.ts:","\n")
cat(paste(" * ",panel.map$zvar$vname[z.sel],sep=""),sep="\n")
}#end if(any(z.sel))
stop(" - All variables defined in panel.map must be defined in scen.ts!!!")
}#end if
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names){
panel.map$xvar[[wn]] = scen.ts[[wn]][x.idx]
panel.map$yvar[[wn]] = scen.ts[[wn]][y.idx]
panel.map$zvar[[wn]] = scen.ts[[wn]][z.idx]
}#end for
for (nl in c("plog.map")){
panel.map$zvar[[nl]] = as.logical(panel.map$zvar[[nl]])
}#end for
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the principal component analysis by DBH class. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
pca.explain = list( list( vname = "water.deficit" , colour = "#FF80FF" )
, list( vname = "leaf.gsw" , colour = "#C800C8" )
, list( vname = "f.bstorage" , colour = "#800080" )
, list( vname = "leaf.par" , colour = "#FF0000" )
, list( vname = "leaf.temp" , colour = "#BE0000" )
, list( vname = "leaf.vpd" , colour = "#800000" )
, list( vname = "agb.growth" , colour = "#F0F000" )
, list( vname = "wood.dens" , colour = "#A08240" )
, list( vname = "f.dcbadt" , colour = "#604020" )
, list( vname = "agb.recr" , colour = "#40FF00" )
, list( vname = "ecue" , colour = "#009000" )
, list( vname = "agb" , colour = "#004000" )
, list( vname = "wue" , colour = "#26D4EE" )
, list( vname = "leaf.water" , colour = "#1A9BE3" )
, list( vname = "rain" , colour = "#0C54AA" )
, list( vname = "nmon.wdef" , colour = "#9B9BFF" )
, list( vname = "smpot" , colour = "#694AFF" )
, list( vname = "agb.mort" , colour = "#5C00B8" )
)#end list
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Replace the list by a data frame. #
#---------------------------------------------------------------------------------------#
pca.explain = data.frame( apply(X=sapply(X=pca.explain,FUN=c),MARGIN=1,FUN=unlist)
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(pca.explain))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(pca.explain$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in pca.explain are missing from scen.ts:","\n")
cat(paste(" * ",pca.explain$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in pca.explain must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) pca.explain[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# This list tells which variables to do the autocorrelation comparing for all #
# scenarios. #
# #
# IMPORTANT: All variables here MUST come from one of the variables defined in scen.ts. #
#------------------------------------------------------------------------------------------#
#----- All that we need here is the variable name. -------------------------------------#
acorr.plot = data.frame( vname = c( "agb", "lai", "ba"
, "gpp", "npp", "agb.change"
, "bstorage", "can.depth"
)#end vname
, stringsAsFactors = FALSE
)#end data.frame
#---------------------------------------------------------------------------------------#
#---------------------------------------------------------------------------------------#
# Fill in the box plot list with information brought from scen.ts. #
#---------------------------------------------------------------------------------------#
#----- Find the variable names to be added. --------------------------------------------#
which.names = names(scen.ts)
keep = ! ( which.names %in% names(acorr.plot))
which.names = which.names[keep]
#----- Match the lists based on vname. -------------------------------------------------#
comp.idx = match(acorr.plot$vname,scen.ts$vname)
#----- Look for variables that weren't defined in scen.ts. -----------------------------#
comp.miss = is.na(comp.idx)
if (any(comp.miss)){
cat(" - The following variables in acorr.plot are missing from scen.ts:","\n")
cat(paste(" * ",acorr.plot$vname[comp.miss],sep=""),sep="\n")
stop(" - All variables defined in acorr.plot must be defined in scen.ts!!!")
}#end if(any(x.sel))
#---------------------------------------------------------------------------------------#
#----- Append the information to the data frame. ---------------------------------------#
for (wn in which.names) acorr.plot[[wn]] = scen.ts[[wn]][comp.idx]
#---------------------------------------------------------------------------------------#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
#==========================================================================================#
# Turn the variables that matter global. #
#------------------------------------------------------------------------------------------#
scen.ts <<- scen.ts
scen.szpft <<- scen.szpft
scen.barplot <<- scen.barplot
scen.xyz <<- scen.xyz
scen.comp <<- scen.comp
panel.box <<- panel.box
panel.summ <<- panel.summ
pca.explain <<- pca.explain
acorr.plot <<- acorr.plot
nscen.ts <<- nrow(scen.ts)
nscen.szpft <<- nrow(scen.szpft )
nscen.barplot <<- nrow(scen.barplot )
nscen.xvar <<- nrow(scen.xyz$xvar )
nscen.yvar <<- nrow(scen.xyz$yvar )
nscen.zvar <<- nrow(scen.xyz$zvar )
nscen.comp <<- nrow(scen.comp )
npanel.box <<- nrow(panel.box )
npanel.summ <<- nrow(panel.summ )
npanel.xvar <<- nrow(panel.xyz$xvar)
npanel.yvar <<- nrow(panel.xyz$yvar)
npanel.zvar <<- nrow(panel.xyz$zvar)
npanel.xmap <<- nrow(panel.map$xvar)
npanel.ymap <<- nrow(panel.map$yvar)
npanel.zmap <<- nrow(panel.map$zvar)
npca.explain <<- nrow(pca.explain )
nacorr.plot <<- nrow(acorr.plot )
#==========================================================================================#
#==========================================================================================#
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