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ID: <

50|dedup_wf_001::7c95ba71e6a0a79617023d927b709517

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DOI: <

10.5061/dryad.667g2

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Where these data come from
Data from: Do ecological niche models accurately identify climatic determinants of species ranges?

Abstract

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. LocalitiesList of 1627 localities used to generate the Maxent models in "Do ecological niche models accurately identify climatic determinants of species ranges?" Provided data include the longitude and latitude for each locality and bioclimatic variables ('bio1' to 'bio19'), as extracted from the 'WorldClim' database (for definitions see: http://www.worldclim.org/bioclim). Further information about WorldClim at Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978. http://dx.doi.org/10.1002/joc.1276

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