New trends in species distribution modelling

By N. E. Zimmermann, THOMAS C. EDWARDS JR., Catherine H. Graham, P. Pearman, Jens‐Christian Svenning. 2010

340 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4632f6fb77e8c8e61fdfbfc9af093b778a5378cb

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels (2019, background): “The last two decades have seen a proliferation of species distribution models (SDMs) addressing the challenge of predicting the occurrences of individual species (Guisan and Zimmermann 2000, Guisan and Thuiller 2005, Elith et al. 2006, Leathwick et al. 2006, Zimmermann et al. 2010).”
The importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots (2014, background): “…and its effects on SDM accuracy have been underscored as a major challenge for SDM research (Ara ujo & Guisan, 2006; Elith & Leathwick, 2009; Zimmermann et al., 2010), with recent studies proposing different methods to account for biotic interactions in SDM (Boulangeat et al., 2012;…”
Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion (2012, background): “Stage of invasion (i.e. the degree to which an invader is at equilibrium) may have a profound influence on iSDMs by affecting the extent to which occurrence observations match the species environmental niche (Jimenez-Valverde et al., 2008; Zimmermann et al., 2010).”
The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling (2012, background): “…niche (sensu Hutchinson, 1957; Pulliam, 2000), and a number of studies suggest that they do not completely account for biotic interactions (see Zimmermann et al., 2010, for a short review); recent findings call for the development of tools that more appropriately explicitly and…”
Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution (2013, methodology): “The technique of species distribution modeling has far advanced over the last two decades (Zimmermann et al., 2010), specifically with regards to the use of advanced statistical methods and the implementation of ensemble modeling techniques.”
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants (2020, background): “The use of species distribution models (SDMs) for this purpose has advanced the understanding of many ecological issues and is a key tool in predicting species responses to environmental change (Elith et al., 2006; Elith and Leathwick, 2009; Norberg et al., 2019; Zimmermann et al., 2010).”
Integrating ensemble species distribution modelling and statistical phylogeography to inform projections of climate change impacts on species distributions (2013, methodology): “Species distribution models (SDMs) have become one of the most accessible and widely used tools to develop these forecasts (Franklin 2009; Zimmermann et al. 2010).”