Predicting species distribution: offering more than simple habitat models.

By Antoine Guisan, Wilfried Thuiller. Ecology Letters, 2005

6,687 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8b51cb9c05ae8b728ed5b8c1a65a2cd2ad23d731

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Citations in the corpus

Identifying the World's Most Climate Change Vulnerable Species: A Systematic Trait-Based Assessment of all Birds, Amphibians and Corals (2013, background): “These and most other similar large-scale assessments are based primarily on species distribution (bioclimatic envelope) models, which use correlations between species’ observed distributions and climate variables to predict their distributions and hence their extinction risk under future climate sce”
Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities (2011, background): “While many of these interactions are likely to influence the performance of SDMs, competition is commonly noted as an issue for terrestrial SDMs (Guisan & Thuiller, 2005; Araújo & Luoto, 2007; Heikkinen et al., 2007).”
Global legume diversity assessment: Concepts, key indicators, and strategies (2013, methodology): “…to print version). been used since the first stages of research in taxonomy and biogeography and now the sophisticated methodology of distribution modeling (Guisan & Zimmermann, 2000; Guisan & Thuiller, 2005; Elith & al., 2006; Franklin, 2009) can be used to draw maps of biodiversity indicators.”
Predicting species distributions for conservation decisions (2013, methodology): “…commonly referred to as ecological niche models, ENMs, amongst other names; see Appendix S1) are currently the main tools used to derive spatially explicit predictions of environmental suitability for species (Guisan & Thuiller 2005; Elith & Leathwick 2009; Franklin 2010; Peterson et al. 2011).”
Risks of biological control for conservation purposes (2012, background): “…spread of previously established introduced species is a major growth area of invasion biology, with climatic envelope and various other sorts of models being combined with general circulation models of global climate change (Guisan and Thuiller 2005; Fitzpatrick et al. 2007; Bradley et al. 2010).”
The importance of biotic interactions for modelling species distributions under climate change (2007, background): “For example, there is a risk that including species distributions as predictor variables in a model of another species might not truly reflect a biotic interaction but simply the absence of important environmental predictors in the model (e.g. Guisan & Thuiller, 2005 ).”
Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution (2013, background): “…projections of the ecological niche of species (i.e., habitat suitability conditions) are constructed by statistically relating species observations (presence/absence or abundance) to environmental predictor variables (see Guisan and Zimmermann, 2000; Guisan and Thuiller, 2005 for a review).”
Do geographic distribution, niche property and life form explain plants' vulnerability to global change? (2006, methodology): “To date, SDMs have concentrated on quantifying species’ range changes, with few efforts to explain the predicted ecological patterns (but see Guisan & Theurillat, 2000; Peterson & Holt, 2003; Thuiller et al., 2005a).”
The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range? (2006, background): “SDMs are empirical models that relate the observed distribution of a species and environmental data to predict the potential distribution of the species (reviewed by Guisan & Zimmermann, 2000; Guisan & Thuiller, 2005 ).”