Modelling Species Distribution at the Boundaries of the Earth's Climate
ABSTRACT Aim Correlative species distribution models (SDMs) are widely used to project species' responses to global changes. The climatic niche of a species is calibrated under current climate conditions and then projected in space and/or time, making model extrapolation an important concern. This issue is particularly relevant when considering species
Chiara Serafini+3 more
wiley +1 more source
Summary Genetic load can reduce fitness and hinder adaptation. While its genetic underpinnings are well established, the influence of environmental variation on genetic load is less well characterized, as is the relationship between genetic load and putatively adaptive genetic variation.
Christopher J. Fiscus+3 more
wiley +1 more source
Habitat modelling of crabeater seals (Lobodon carcinophaga) in the Weddell Sea using the multivariate approach Maxent [PDF]
Dominik Nachtsheim+4 more
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Species Distribution Modeling of Wild Sheep based on Improving Bias of Occurrence Records and Selecting Appropriate Environmental Predictors using Maxent [PDF]
Ali Jafari+2 more
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Target‐group backgrounds prove effective at correcting sampling bias in Maxent models [PDF]
Robert A. Barber+3 more
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Maxent in Experimental 2$\times$2 Population Games
Bin Xu, Zhijian Wang
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MaxEnt elicited priors with Mathematica – Derivation and use [PDF]
Barrie Stokes
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Maxent modeling for predicting the potential distribution of global talaromycosis [PDF]
Wudi Wei+8 more
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Preface: The Thirty-Fifth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (Maxent 2015) [PDF]
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List of environmental variables from the BIOCLIM dataset used in the MaxEnt model.
E. Byers James+5 more
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