An individual-based model of canid populations: modelling territoriality and social structure
Authored by WC Pitt, PW Box, FF Knowlton
Date Published: 2003
DOI: 10.1016/s0304-3800(03)00130-3
Sponsors:
National Wildlife Research Center
Platforms:
Java
Swarm
Objective C
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
The management of canid populations has been at the forefront of
wildlife management worldwide for much of the last century. Effective
management depends on the ability to integrate species biology, the
environmental aspects upon which those populations depend, and the
factors controlling species abundance. Further, managing canid
populations requires consideration of territoriality and dominance, which may have a significant effect on population dynamics. To better
understand the effect of social structure on canid populations, we
developed an individual-based computer model using Swarm to mimic
natural coyote population dynamics. We selected the Swarm simulation
environment because it is ideally suited for creating a system of
multiple interacting agents with variable schedules and hierarchies.
Swarm was a software platform that allows the user to describe generic
individuals and behaviours, link those behaviours in each concurrent
time step, and assemble behaviours and objects in a hierarchical
framework. This model stands apart from previous modelling efforts
because it explicitly incorporates behavioral features, such as
dominance and territoriality, as major determinates of species
demography into a simple model. Individual variation, such as status
within territorial social groups and age-based reproduction are
incorporated, but assumptions typically associated with most demographic
models are not needed. The simple population model with few parameters
not only closely resembled `real world' populations but also helped us
understand population dynamics that emerged from model. The sensitivity
analysis revealed that the model was largely insensitive to individual
parameter estimates and could be used to guide management of territorial
animal populations with social structure. The model output variables
closely matched the mean and range of values reported in the literature
of wild populations for population size, proportion of females breeding, offspring survival and litter size. The variation of model output was
similar to the variation recorded in field studies. Further, population
dynamics reported from field studies emerged from the model and may help
to explain the mechanisms responsible for this variation. This type of
model could also provide insights into potential management alternatives
for other canid species or other species with similar social structure.
Published by Elsevier B.V.
Tags
Computer-simulation
Extinction risk
Home ranges
Red grouse
Southeastern colorado
Error analysis
Space use
Coyote population
Management implications
Southern texas