Author: Wayne M. Getz; Richard Salter; Krti Tallam
Title: A quantitative narrative on movement, disease and patch exploitation in nesting agent groups Document date: 2019_10_3
ID: 5gzgfudh_6
Snippet: The number of agents produced by an illustrative simulation for each of movement To illustrate the impact of mortality rates on population viability, we ran our baseline 253 scenario 15 times with the natural mortality increased from µ = 0.005 to µ = 0.02. The 254 times at which the population was extirpated in these 15 runs is given in the first row of 255 Number of agents N t (i.e., the agent population trajectory) are plotted for the baselin.....
Document: The number of agents produced by an illustrative simulation for each of movement To illustrate the impact of mortality rates on population viability, we ran our baseline 253 scenario 15 times with the natural mortality increased from µ = 0.005 to µ = 0.02. The 254 times at which the population was extirpated in these 15 runs is given in the first row of 255 Number of agents N t (i.e., the agent population trajectory) are plotted for the baseline case except for the following modifications to movement behavior. Movement is driven by: territory size maximization (blue plots, two replicates when φ 1 = 0, φ 2 = 1 ); available resource maximization (green plots, two replicates when φ 1 = 1, φ 2 = 0); movement cost minimization (orange and yellow plots, two replicates of φ 1 = φ 2 = 0); and equal weightings of above three (dotted grey plot-the same as blue plot in Fig. 3 where φ 1 = φ 2 = 1/3).
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