linear: Linear feature effects on lambda

In ABbiodiversity/WildLift: An Open-source Tool to Guide Decisions for Wildlife Conservation

Description

Linear feature restoration (i.e. forest regeneration) and linear feature deactivation (e.g. blocking entrances) effects on lambda.

Usage

wildlift_linear(tmax=20, pop.start=100,
    area=10000, lin=0, seism=0, young=0,
    cost=12, yr_deact=5, yr_restor=15)

Arguments

tmax	positive integer, number of years to forecast after initial year 0.
pop.start	positive integer, initial population size in year 0.
area	positive numeric, area of range in km^2.
lin	non-negative numeric, linear features (total length in km) including seismic lines (to be restored or deactivated) and permanent linear featured (roads etc.).
seism	non-negative numeric, seismic lines (total length in km) to be restored or deactivated.
young	numeric between 0 and 100, percent of young (<30 yrs) forest.
cost	non-negative numeric, cost of management action (in canadian dollars) per km linear feature restored/deactivated.
yr_deact	non-negative numeric, years it takes for deactivation to reach a level where it begins to affect lambda.
yr_restor	non-negative numeric, years it takes for restoration to reach a level where it begins to affect lambda.

Details

Lambda is calculated as 1.0184 - 0.0234 * (lin / area) - 0.0021 * young.

Value

A list with population table and costs.

See Also

wildlift_forecast

Examples

## nothing to restore/deactivate
wildlift_linear()

## all linear restored/deactivated
wildlift_linear(lin=1000, seism=1000, young=10)

## half of linear is to be restored/deactivated
wildlift_linear(lin=1000, seism=500, young=10)

ABbiodiversity/WildLift documentation built on Aug. 30, 2021, 7:08 a.m.