Run the metapopulation simulation for various conservation prioritization schemes.
get_conserv_plans_mv(
weights,
reps = 150,
assess_freq = 5,
burn = 1:30,
risk_fn = var,
...
)A matrix of habitat weights. Each row corresponds to another scenario. Each column is a different habitat location.
Number of portfolios to simulate.
The frequency (in generations) of spawner-recruit
re-assessment. Passed to meta_sim.
Cycles to throw out as burn in.
Type of variance or risk metric. By default takes the variance. Instead you can supply any function that takes a numeric vector and returns some single numeric value. E.g. CVaR.
Other values to pass to meta_sim.
Returns the portfolio mean and variance values and the simulation runs.