Maya Gueguen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Maya Gueguen has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Wilfried Thuiller
Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, F-38000 Grenoble, France
2 shared publications - Florent Mazel
Department of Fundamental Microbiology, University of Lausanne
1 shared publication - Gentile Francesco Ficetola
Department of Environmental Science and Policy University of Milan Milan Italy
1 shared publication - Julien Renaud
Université Grenoble Alpes, CNRS, Laboratoire d'Écologie Alpine (LECA), 38000 Grenoble, France
1 shared publication - Laura J. Pollock
Université Grenoble Alpes, Laboratoire d'Écologie Alpine (LECA), Grenoble, F-38000, France
1 shared publication - Rafael Wüest
Department of Biodiversity and conservation biology, Swiss Federal Institute for Forest Snow and Landscape Research WSL, Birmensdorf 8903, Switzerland
1 shared publication
Latest Publications
- 1 May 2017
- Published by Elsevier in Current Biology
- Vol. 27 (9) , 1369-1374
The Geography of Ecological Niche Evolution in Mammals
- 1 May 2017
- Published by Elsevier in Current Biology
- Vol. 27 (9) , 1369-1374
The Geography of Ecological Niche Evolution in Mammals
- 6 October 2015
- Published by Wiley in Ecology Letters
- Vol. 18 (12) , 1321-1328
From species distributions to meta‐communities
The extent that biotic interactions and dispersal influence species ranges and diversity patterns across scales remains an open question. Answering this question requires framing an analysis on the frontier between species distribution modelling (SDM), which ignores biotic interactions and dispersal limitation, and community ecology, which provides specific predictions on community and meta‐community structure and resulting diversity patterns such as species richness and functional diversity. Using both empirical and simulated datasets, we tested whether predicted occurrences from fine‐resolution SDMs provide good estimates of community structure and diversity patterns at resolutions ranging from a resolution typical of studies within reserves (250 m) to that typical of a regional biodiversity study (5 km). For both datasets, we show that the imprint of biotic interactions and dispersal limitation quickly vanishes when spatial resolution is reduced, which demonstrates the value of SDMs for tracking the imprint of community assembly processes across scales.
- 6 October 2015
- Published by Wiley in Ecology Letters
- Vol. 18 (12) , 1321-1328
From species distributions to meta‐communities
The extent that biotic interactions and dispersal influence species ranges and diversity patterns across scales remains an open question. Answering this question requires framing an analysis on the frontier between species distribution modelling (SDM), which ignores biotic interactions and dispersal limitation, and community ecology, which provides specific predictions on community and meta‐community structure and resulting diversity patterns such as species richness and functional diversity. Using both empirical and simulated datasets, we tested whether predicted occurrences from fine‐resolution SDMs provide good estimates of community structure and diversity patterns at resolutions ranging from a resolution typical of studies within reserves (250 m) to that typical of a regional biodiversity study (5 km). For both datasets, we show that the imprint of biotic interactions and dispersal limitation quickly vanishes when spatial resolution is reduced, which demonstrates the value of SDMs for tracking the imprint of community assembly processes across scales.