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Entropy 2009, 11(4), 854-866; doi:10.3390/e11040854

Use of Maximum Entropy Modeling in Wildlife Research

Kearney Agricultural Center, University of California, 9240 South Riverbend Avenue, Parlier, CA 93648, USA
Received: 4 September 2009 / Accepted: 11 November 2009 / Published: 16 November 2009
(This article belongs to the Special Issue Maximum Entropy)
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Maximum entropy (Maxent) modeling has great potential for identifying distributions and habitat selection of wildlife given its reliance on only presence locations. Recent studies indicate Maxent is relatively insensitive to spatial errors associated with location data, requires few locations to construct useful models, and performs better than other presence-only modeling approaches. Further advances are needed to better define model thresholds, to test model significance, and to address model selection. Additionally, development of modeling approaches is needed when using repeated sampling of known individuals to assess habitat selection. These advancements would strengthen the utility of Maxent for wildlife research and management.
Keywords: habitat selection models; maxent; species distribution models; wildlife; maximum entropy habitat selection models; maxent; species distribution models; wildlife; maximum entropy
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Baldwin, R.A. Use of Maximum Entropy Modeling in Wildlife Research. Entropy 2009, 11, 854-866.

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