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dc.contributor.authorPeterson, A. Townsend
dc.identifier.citationPeterson, A. Townsend. (2001). "Predicting species’ geographic distributions based on ecological niche modeling." Condor, 103(3):599-605.[0599:PSGDBO]2.0.CO;2en_US
dc.description.abstractRecent developments in geographic information systems and their application to conservation biology open doors to exciting new synthetic analyses. Exploration of these possibilities, however, is limited by the quality of information available: most biodiversity data are incomplete and characterized by biased sampling. Inferential procedures that provide robust and reliable predictions of species' geographic distributions thus become critical to biodiversity analyses. In this contribution, models of species' ecological niches are developed using an artificial-intelligence algorithm, and projected onto geography to predict species' distributions. To test the validity of this approach, I used North American Breeding Bird Survey data, with large sample sizes for many species. I omitted randomly selected states from model building, and tested models using the omitted states. For the 34 species tested, all predictions were highly statistically significant (all P < 0.001), indicating excellent predictive ability. This inferential capacity opens doors to many synthetic analyses based on primary point occurrence dataen_US
dc.publisherUniversity of California Pressen_US
dc.subjectecological nicheen_US
dc.subjectgeographic distributionen_US
dc.titlePredicting species’ geographic distributions based on ecological niche modelingen_US
kusw.kuauthorPeterson, A. Townsend
kusw.kudepartmentEcology and Evolutionary Biologyen_US
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item does not meet KU Open Access policy criteria.

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