lvsimdata.time: Prey-Predator (Lotka-Volterra) example in LV dataset

In capn: Capital Asset Pricing for Nature

Description

The lvsimdata.time provides the time simulation data in LV dataset to simulate prey-predator (Lotka-Volterra) model. The original code was written by Joshua Abbott in MATLAB and Seong Do Yun adapted it to a package example. The prey-predator model is:

Prey (X): \dot{X} = rX ≤ft( 1 - \frac{X}{K} \right) - aXY - θ X , and

Predator (Y): \dot{Y} = bXY - mY - γ Y .

The parameters are given as:
r = 0.025: intrinsic growth rate for prey,
K = 1: carrying capacity for prey,
a = 0.08: predator-related mortality parameter for prey,
b = 0.05: predator/prey uptake parameter for predator,
m = 0.01: natural mortality for predator,
γ = 0.005: slope for linear predator harvest control rule, and
θ = 0.005: slope for linear prey harvest control rule

The predator with no economic value (unharvested) is designed for the economic program as:

W = harv.prey(p.prey-c.prey/X)θ X + harv.pred*(p.pred-c.pred/Y)γ Y.

The paramters are:
p.pred = 0: price per unit harvest of predator,
p.prey = 25: price per unit harvest of prey,
c.prey = 0.1 p_prey: cost /per unit of prey effort in Schaefer model (really c/q with q=1), and
c.pred = c_prey: cost per unit of predator effort in Schaefer model (really c/q with q=1).

Usage

## Load dataset
data("lvdata")

Format

lvsimdata.time: a data for time simulation (101 ODE solution)

• tseq time sequence from 0 to 100

• xs prey stock

• ys predator stock

See Also

LV,vsim

capn documentation built on May 1, 2019, 11:15 p.m.