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Novel methods improve prediction of species' distributions from occurrence data
Prediction of species' distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records inExpand
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Predictive habitat distribution models in ecology
With the rise of new powerful statistical techniques and GIS tools, the development of predictive habitat distribution models has rapidly increased in ecology. Such models are static andExpand
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Predicting species distribution: offering more than simple habitat models
In the last two decades, interest in species distribution models (SDMs) of plants and animals has grown dramatically. Recent advances in SDMs allow us to potentially forecast anthropogenic effects onExpand
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Measuring ecological niche overlap from occurrence and spatial environmental data
Aim Concerns over how global change will influence species distributions, in conjunction with increased emphasis on understanding niche dynamics in evolutionary and community contexts, highlight theExpand
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Generalized linear and generalized additive models in studies of species distributions: setting the scene
An important statistical development of the last 30 years has been the advance in regression analysis provided by generalized linear models (GLMs) and generalized additive models (GAMs). Here weExpand
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Evaluating the ability of habitat suitability models to predict species presences
Abstract Models predicting species spatial distribution are increasingly applied to wildlife management issues, emphasising the need for reliable methods to evaluate the accuracy of theirExpand
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Five (or so) challenges for species distribution modelling
Species distribution modelling is central to both fundamental and applied research in biogeography. Despite widespread use of models, there are still important conceptual ambiguities as well asExpand
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Effects of sample size on the performance of species distribution models
A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others to predict species ranges from point locality data. Unfortunately, the amount of data available isExpand
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Evidence of climatic niche shift during biological invasion.
Niche-based models calibrated in the native range by relating species observations to climatic variables are commonly used to predict the potential spatial extent of species' invasion. This climateExpand
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An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
Summary 1. Few examples of habitat-modelling studies of rare and endangered species exist in the literature, although from a conservation perspective predicting their distribution would proveExpand
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