An agent-based model of jaguar movement through conservation corridors


Watkins, Angela, Noble, Jason and Doncaster, C. Patrick (2011) An agent-based model of jaguar movement through conservation corridors. In, Lenaerts, Tom, Giacobini, Mario, Bersini, Hugues, Bourgine, Paul, Dorigo, Marco and Doursat, René (eds.) Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems. ECAL 2011: 11th European Conference on the Synthesis and Simulation of Living Systems , MIT Press, 846-853.

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Description/Abstract

Wildlife corridors mitigate against habitat fragmentation by connecting otherwise isolated regions, bringing well established benefits to conservation both in principle and practice. Populations of large mammals in particular may depend on habitat connectivity, yet conservation managers struggle to optimise corridor designs with the rudimentary information generally available on movement behaviours. We present an agent-based model of jaguars (Panthera onca), scaled for fragmented habitat in Belize where proposals already exist for creating a jaguar corridor. We use a leastcost approach to simulate movement paths through alternative possible landscapes. Six different types of corridor and three control conditions differ substantially in their effectiveness at mixing agents across the environment despite relatively little difference in individual welfare. Our best estimates of jaguar movement behaviours suggest that a set of five narrow corridors may out-perform one wide corridor of the same overall area. We discuss the utility of ALife modelling for conservation management.

Item Type: Book Section
ISBNs: 9780262297141 (electronic)
0262297140 (electronic)
Related URLs:
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QH Natural history > QH301 Biology
Divisions: Faculty of Natural and Environmental Sciences > Biological Sciences > Environmental
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 334228
Date Deposited: 08 Mar 2012 13:35
Last Modified: 27 Mar 2014 20:19
Publisher: MIT Press
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/334228

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