Using an Individual-based Computer Model:
Preliminary Results
William C. Pitt
USDA/APHIS/WS, National Wildlife Research Center, Utah State University, Logan, UT, Utah State University, Logan,
Utah, 84322-5295; (435) 245-6091; ww@cc.usu.edu
Frederick F. Knowlton
USDA/APHIS/WS, National Wildlife Research Center, Utah State University, Logan, Utah, 84322-5295
Paul W. Box
Department of Geography and Earth Resources Department, Utah State University, Logan, Utah, 84322
Abstract
Ensuring the welfare of wild canid populations depends upon the ability to integrate species
biology, the environmental aspects upon which those populations depend, and the factors controlling
species abundance. Toward this end, we developed an individual-based computer model
using Swarm to mimic natural coyote populations. Swarm is a software platform that allows the
user to describe individual behaviors for all individuals, link those behaviors in each concurrent
time step, and assemble behaviors and objects in a hierarchical framework. Our model stands
apart from previous modeling efforts because it relies on field data and explicitly incorporates
behavioral features, such as dominance and territoriality, as major determinates of species
demography. Individual variation, such as status within territorial social groups and age-based
reproduction are assumed, but assumptions typically associated with most demographic models
are not needed. The eventual goal is to incorporate other environmental components such
as prey abundance and/or competing carnivores. This type of model could also provide
insights into potential management alternatives for when the gray wolf is removed from
endangered status in Minnesota.