4.4 Article

Do Ecological Niche Models Accurately Identify Climatic Determinants of Species Ranges?

Journal

AMERICAN NATURALIST
Volume 187, Issue 4, Pages 423-435

Publisher

UNIV CHICAGO PRESS
DOI: 10.1086/685387

Keywords

Ambystoma californiense; Maxent; percent contribution; permutation importance; recruitment; salamander demography

Funding

  1. Bureau of Reclamation
  2. California Department of Transportation
  3. National Science Foundation
  4. Solano County Water Agency
  5. University of California, Davis
  6. University of California Natural Reserve System
  7. Direct For Biological Sciences [1257648] Funding Source: National Science Foundation
  8. Division Of Environmental Biology [1257648] Funding Source: National Science Foundation

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Defining species' niches is central to understanding their distributions and is thus fundamental to basic ecology and climate change projections. Ecological niche models (ENMs) are a key component of making accurate projections and include descriptions of the niche in terms of both response curves and rankings of variable importance. In this study, we evaluate Maxent's ranking of environmental variables based on their importance in delimiting species' range boundaries by asking whether these same variables also govern annual recruitment based on long-term demographic studies. We found that Maxent-based assessments of variable importance in setting range boundaries in the California tiger salamander (Ambystoma californiense; CTS) correlate very well with how important those variables are in governing ongoing recruitment of CTS at the population level. This strong correlation suggests that Maxent's ranking of variable importance captures biologically realistic assessments of factors governing population persistence. However, this result holds only when Maxent models are built using best-practice procedures and variables are ranked based on permutation importance. Our study highlights the need for building high-quality niche models and provides encouraging evidence that when such models are built, they can reflect important aspects of a species' ecology.

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