Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/communityCondition.R
This function calculates Fulton's Condition Index for j areas and i years.
communityCondition(X_length, groups, species.table = NULL, LenWt.table, years)
A dataframe of fishery independent data derived from research
vessel survey data or model output, with columns
A vector indicating the species group(s) for which to calculate
the indicator. If
A table where the column names match the entries in
A table of annual length at weight data with 5 columns.
A vector of years for which to calculate indicator.
Fulton's Condition Index (K):
K = Σ(K_j * A_j)/Σ A_j
where the sum is over all species, j, A_j is the abundance of species j, and
K_j = 100*W_j/L_j^3
where W_j is the mean weight at length L for species j (Ricker, 1975).
Returns a dataframe with columns
YEAR, and a
CCondition_group for each entry in
If there is no data for spatial scale j in year i, indicator
value is assigned
Danielle Dempsey Danielle.Dempsey@dfo-mpo.gc.ca, Adam Cook, Catalina Gomez, Alida Bundy
Bundy A, Gomez C, Cook AM. 2017. Guidance framework for the selection and evaluation of ecological indicators. Can. Tech. Rep. Fish. Aquat. Sci. 3232: xii + 212 p.
DFO. 2003. State of the Eastern Scotian Shelf ecosystem. Dartmouth, Nova Scotia
Choi JS, Frank KT, Petrie BD, Leggett WC. 2005. Integrated Assessment of a Large Marine Ecosystem: a case study of the devolution of the Eastern Scotian Shelf, Canada. Oceanogr Mar Biol An Annu Rev 43:47–67
Ricker, W. E. 1975. Computation and interpretation of biological statistics of fish populations. Bulletin of the Fisheries Research Board of Canada 191:1-382.
Other ecosystem structure and function indicators:
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# Compile data data(X_length) data(species.table) data(Length_Weight) # Species groups of interest condition.groups <- c("FINFISH", "LBENTHIVORE", "PISCIVORE", "PLANKTIVORE") # Calculate indicators communityCondition(X_length, LenWt.table = Length_Weight, groups = condition.groups, species.table = species.table, years = c(2014:2019))
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