Description Usage Arguments Value References Examples
View source: R/springbarley_biocontrol.R
Uses spatial data on floral and nesting quality to compute flower visitation and population dynamics for wild pollinators for a given year. The function can be used for mutliple years by running a loop and using as input the output of the previous model (see example). useraster=TRUE,cSMD,mask,parameters,landscvals,reclassin_PGL,reclassin_PAC,N00="usedefault"
1 2 | springbarley_biocontrol(useraster = TRUE, cSMD, mask, parameters,
reclassin_PGL, reclassin_PAC, N00 = "usedefault")
|
useraster |
whether to use a raster, if FALSE the function assumes a matrix. |
cSMD |
land-use data, provided as a raster or a matrix. |
mask |
same format as cSMD but containing binary values, 1 = produce a prediction, 0 = ignore |
parameters |
list of two dataframes containing parameter values |
reclassin_PGL |
matrix indicating for a sequence of land-use codes the grasslands (1) and the non-grassland uses (0) |
reclassin_PAC |
matrix indicating for a sequence of land-use codes the annual land-uses (1) and the permanent ones (0) |
N00 |
the density of colonizing aphids, does not vary in space, if set to usedefault its value is taken from OTHER_PAR. |
a list containing :
mortality phase 1
mortality phase 2
aphid days, calculated as N00*(1-mc1)*(exp((f-mc2)*T)-1)/(f-mc2)
crop loss in kg.ha-1, calculated as 12.7*ad^.66
Jonsson, M., Bommarco, R., Ekbom, B., Smith, H. G., Bengtsson, J., Caballero-Lopez, B., Winqvist, C. and Olsson, O. (2014), Ecological production functions for biological control services in agricultural landscapes. Methods Ecol Evol, 5: 243-252. http://dx.doi.org/10.1111/2041-210X.12149
1 2 3 4 5 6 7 | PRED_PAR <- read.table("C:/a1workmain/ES_synthesis/BC_springbarley/yann/PRED_PAR.txt")
OTHER_PAR <- read.table("C:/a1workmain/ES_synthesis/BC_springbarley/yann/OTHER_PAR.txt")
parameters.bcsb<-list("PRED_PAR"=PRED_PAR,"OTHER_PAR"=OTHER_PAR)
reclassin_PAC<-as.matrix(reclassin_info[,c(1,2,4)])
reclassin_PGL<-as.matrix(reclassin_info[,c(1,2,5)])
biocontrol_pred<-springbarley_biocontrol(cSMD=cSMD_Sk2020,mask=landsmask,
parameters=parameters.bcsb,reclassin_PGL=reclassin_PGL,reclassin_PAC=reclassin_PAC)
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