Abstract

BackgroundSpecies Distribution Models (SDMs) aim on the characterization of a species' ecological niche and project it into geographic space. The result is a map of the species' potential distribution, which is, for instance, helpful to predict the capability of alien invasive species. With regard to alien invasive species, recently several authors observed a mismatch between potential distributions of native and invasive ranges derived from SDMs and, as an explanation, ecological niche shift during biological invasion has been suggested. We studied the physiologically well known Slider turtle from North America which today is widely distributed over the globe and address the issue of ecological niche shift versus choice of ecological predictors used for model building, i.e., by deriving SDMs using multiple sets of climatic predictor.Principal FindingsIn one SDM, predictors were used aiming to mirror the physiological limits of the Slider turtle. It was compared to numerous other models based on various sets of ecological predictors or predictors aiming at comprehensiveness. The SDM focusing on the study species' physiological limits depicts the target species' worldwide potential distribution better than any of the other approaches.ConclusionThese results suggest that a natural history-driven understanding is crucial in developing statistical models of ecological niches (as SDMs) while “comprehensive” or “standard” sets of ecological predictors may be of limited use.

Highlights

  • Alien invasive species are a concern in nature conservation as they may have a negative impact on native biodiversity [1]

  • These results suggest that a natural history-driven understanding is crucial in developing statistical models of ecological niches while ‘‘comprehensive’’ or ‘‘standard’’ sets of ecological predictors may be of limited use

  • A Species Distribution Models (SDMs) characterizes the ecological niche of a species, based on ecological predictors recorded at the known distribution, and projects it into geographic space uncovering its potential distribution [2,3,4,5]

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Summary

Introduction

Alien invasive species are a concern in nature conservation as they may have a negative impact on native biodiversity [1]. There have been numerous examples in which SDMs were applied to identify areas which are suitable to certain alien invasive species. These generally aimed on climatic suitability, i.e. the species’ climate envelopes [6,7,8,9,10]. Species Distribution Models (SDMs) aim on the characterization of a species’ ecological niche and project it into geographic space. With regard to alien invasive species, recently several authors observed a mismatch between potential distributions of native and invasive ranges derived from SDMs and, as an explanation, ecological niche shift during biological invasion has been suggested.

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