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Predicting extinctions with species distribution models [PDF]
Cambridge Prisms: Extinction, 2023 Predictions of species-level extinction risk from climate change are mostly based on species distribution models (SDMs). Reviewing the literature, we summarise why the translation of SDM results to extinction risk is conceptually and methodologically ...
Damaris Zurell +3 more
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Community confounding in joint species distribution models [PDF]
Scientific Reports, 2022 Joint species distribution models have become ubiquitous for studying species-environment relationships and dependence among species. Accounting for community structure often improves predictive power, but can also affect inference on species-environment
Justin J. Van Ee +2 more
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Understanding spatial effects in species distribution models. [PDF]
PLoS ONE, 2023 Species Distribution Models often include spatial effects which may improve prediction at unsampled locations and reduce Type I errors when identifying environmental drivers.
Iosu Paradinas +2 more
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Species distribution models for species distribution modellers [PDF]
Frontiers of Biogeography, 2012 ISSN 1948‐6596 news and update book review Species distribution models for species distribution modellers Ecological niches and geographic distributions, by Townsend A. Peterson, Jorge Soberon, Richard G. Pearson, Robert P. Anderson, Enrique Martinez‐Meyer, Miguel Nakamura & Miguel B.
Carsten F Dormann
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Bounding species distribution models [PDF]
Current Zoology, 2011 Species distribution models are increasing in popularity for mapping suitable habitat for species of management concern. Many investigators now recognize that extrapolations of these models with geographic information systems (GIS) might be sensitive to ...
Thomas J. STOHLGREN, Catherine S. JARNEVICH, Wayne E. ESAIAS,Jeffrey T. MORISETTE
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Uncertainty analysis of species distribution models.
PLoS ONE, 2019 The maximum entropy model, a commonly used species distribution model (SDM) normally combines observations of the species occurrence with environmental information to predict the geographic distributions of animal or plant species.
Xi Chen +2 more
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Pseudoabsence generation strategies for species distribution models. [PDF]
PLoS ONE, 2012 BackgroundSpecies distribution models require selection of species, study extent and spatial unit, statistical methods, variables, and assessment metrics.
Brice B Hanberry +2 more
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Machine learning applied to global scale species distribution models [PDF]
Scientific ReportsSpecies Distribution Models (SDMs) are widely used in ecology to analyze historical and future patterns of marine species distributions. Given the growing impact of climate change, predicting potential shifts in species ranges has become a key challenge.
Alba Fuster-Alonso +10 more
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The Impact of Climate Change on The Geographic Distribution of Thymus Kotschyanus (Boiss and Hohen) Using Ensemble Modelling [PDF]
مدیریت بیابان, 2021 This study aimed at predicting the effect of climate change on the geographic distribution of Thymus kotschyanus Boiss and Hohen in Mazandaran province. Species presence data were recorded via the Global Positioning System (GPS).
Samaneh Nazari +3 more
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Cartograms tool to represent spatial uncertainty in species distribution [PDF]
Research Ideas and Outcomes, 2017 Species distribution models have become an important tool for biodiversity monitoring. Like all statistical modelling techniques developed based on field data, they are prone to uncertainty due to bias in the sampling (e.g.
Duccio Rocchini, Carol X Garzon-Lopez
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