protectedAreaSelection {ConnMatTools} | R Documentation |
This function finds the optimal network of protected areas based on connectivity using the eigenvalue perturbation approach described in Nilsson Jacobi & Jonsson (2011).
protectedAreaSelection(
conn.mat,
nev = dim(conn.mat)[1],
delta = 0.1,
theta = 0.05,
M = 20,
epsilon.lambda = 1e-04,
epsilon.uv = 0.05,
only.list = T,
...
)
conn.mat |
a square connectivity matrix. |
nev |
number of eigenvalues and associated eigenvectors to be calculated. |
delta |
the effect of protecting site i (e.g. increase in survival or fecundity in protected areas relative to unprotected areas). Now a single value, in future it will be possible to specify site-specific values. The perturbation theory used in the construction of the algorithm assumes delta to be small (e.g. delta=0.1). However, higher values give also good results. |
theta |
the threshold of donor times recipient value that a site must have to be selected. |
M |
the maximal number of sites selected from each subpopulation even if there are more sites above the threshold theta |
epsilon.lambda |
Threshold for removing complex eigenvalues. |
epsilon.uv |
Threshold for removing eigenvectors with elements of opposite signs of comparable magnitude. |
only.list |
Logical, whether the function return only the list of selected sites or also the predicted impact of each selected site on the eigenvalues |
... |
Additional arguments for the |
If only.list is TRUE
, just returns the list of selected sites.
If FALSE
, then result will be a list containing selected sites and
predicted impact of each selected site on the eigenvalues.
Marco Andrello marco.andrello@gmail.com
Jacobi, M. N., and Jonsson, P. R. 2011. Optimal networks of nature reserves can be found through eigenvalue perturbation theory of the connectivity matrix. Ecological Applications, 21: 1861-1870.