The fate of European breeding birds under climate, land‐use and dispersal scenarios

By Morgane Barbet-Massin, Wilfried Thuiller, Frédéric Jiguet. 2012

247 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/5002a51c8b0deef714568dc249b319fa94db5bfa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. J. Heino
2. Luis Mauricio Bini
3. T. Erős
4. Morgane Barbet-Massin
5. R. Early
6. D. Sax
7. Walter Jetz
8. J. Soininen

In Ecology

1. J. Heino
2. Luis Mauricio Bini
3. T. Erős
4. J. Soininen
5. Adriano S. Melo
6. J. Alahuhta
7. T. Datry
8. D. Sax

In Nature and Landscape Conservation

1. J. Heino
2. J. Soininen
3. T. Erős
4. Luis Mauricio Bini
5. J. Alahuhta
6. Adriano S. Melo
7. Walter Jetz
8. T. Datry

Citations in the corpus

• A 40‐year, continent‐wide, multispecies assessment of relevant climate predictors for species distribution modelling (2014, background): “…given that confirmed absences are usually difficult to obtain, especially for mobile species (Mackenzie & Royle, 2005), pseudo-absences are widely used, adding yet another source of uncertainty (Chefaoui & Lobo, 2008; VanDerWal et al., 2009; Wisz & Guisan, 2009; Barbet-Massin et al., 2012a).”
• Comparing species distribution models constructed with different subsets of environmental predictors (2015, methodology): “Accuracy of models including land cover was inconsistent across study species, ranging from slightly reducing accuracy to moderately improving it; we found no significant difference in accuracy between climate-only and climate + land cover models, in slight contrast to (small) significant difference”
• Integrating dispersal proxies in ecological and environmental research in the freshwater realm (2017, methodology): “This is usually done by considering two extreme degrees 566 of dispersal limitation (e.g. no dispersal vs unlimited dispersal) or intermediate situations 567 using probabilistic methods when data on the dispersal abilities of the species are available 568 (Barbet-Massin et al. 2012).”
• Climatic niche shifts between species' native and naturalized ranges raise concern for ecological forecasts during invasions and climate change (2014, background): “Candidate non-climatic range limitations are geographical barriers, non-climatic physical environmental features and biotic interactions (Mitchell & Power, 2003; Barbet-Massin et al., 2011; Svenning et al., 2011).”
• Regional variation in climate change winners and losers highlights the rapid loss of cold‐dwelling species (2016, background): “…the otherwise important task of projecting future species distributions based on the assumption that species will respond fully to climate change according to their present climatic niche (e.g. Huntley et al., 2007; Barbet-Massin et al., 2012), may over-estimate the responses of some species.”
• Drivers of Extinction Risk in Terrestrial Vertebrates (2017, background): “Birds are a model group for the study of climate change effects (e.g., Barbet-Massin et al. 2011; Barbet-Massin & Jetz 2015), probably explaining why they have been classified so differently from the other classes in their vulnerability to this threat.”