Description Usage Arguments Value Notes on 3D arrays References
View source: R/calc_sizepref_suitability.R
Size preferences for prey species by predator species are modelld with a lognormal distribution. The bundled data use a parameterization that gives a maximal preference to prey that are approximately 1/33rd the weight of the predator.
1 2 | calc_sizepref_suitability(nSize, nSpecies, mBound, spMu, spSigma, wgt,
scLinf, FW)
|
nSize |
Number of size class intervals species can grow through |
nSpecies |
Number of species in the model |
mBound |
Mid point of each size class interval |
spMu |
Mean of log normal distribution. See |
spSigma |
Standard deviation of the log normal distribution. See |
wgt |
Weight of species at the mid point of each size class (Units: grams). See |
scLinf |
The size class at which each species reaches L_inf (maximum length). See |
FW |
Food web represented as a binary matrix. Predator (columns) and prey (rows). See |
A list is returned
sizePref |
3D array of prey size preference for predator size. |
suitability |
3D array of prey size suitability for predator size. Suitability is calculated as (sizePref*Food Web). These values are then standardized across all prey species/size classes for a given predator in a size class |
The 3D arrays contain prey size class in the rows, prey species in the columns (nSizeClass x nSpecies). The 1st dimension represents a predator/size class comnination. For example slice [1,,] represents the preference of predator species 1 in size class 1 to all prey species /size class combinations. The 1st dimension has length equal to nSpecies*nsizeClass. However many entries are zero determined by each species Linf
Hall et al. (2006). A length-based multispecies model for evaluating community responses to fishing. Can. J. Fish. Aquat. Sci. 63:1344-1359.
Rochet et al. (2011). Does selective fishing conserve community biodiversity? Prediction from a length-based multispecies model. Can. J. Fish. Aquat. Sci. 68:469-486
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