Selecting pseudo‐absences for species distribution models: how, where and how many?
Centre National de la Recherche Scientifique · Sorbonne Université · +5 more institutions
Abstract
Summary 1. Species distribution models are increasingly used to address questions in conservation biology, ecology and evolution. The most effective species distribution models require data on both species presence and the available environmental conditions (known as background or pseudo‐absence data) in the area. However, there is still no consensus on how and where to sample these pseudo‐absences and how many. 2. In this study, we conducted a comprehensive comparative analysis based on simple simulated species distributions to propose guidelines on how, where and how many pseudo‐absences should be generated to build reliable species distribution models. Depending on the quantity and quality of the initial…
Citation impact
- FWCI
- 78.68
- Percentile
- 100%
- References
- 37
Authors
4- MBMorgane Barbet‐MassinCorresponding
Centre National de la Recherche Scientifique, Sorbonne Université, Centre d'Écologie et des Sciences de la Conservation, Structure et Instabilité des Génomes
- FJFrédéric Jiguet
Centre National de la Recherche Scientifique, Sorbonne Université, Centre d'Écologie et des Sciences de la Conservation, Structure et Instabilité des Génomes
- CHCécile H. Albert
Centre National de la Recherche Scientifique, Université Joseph Fourier, McGill University
- WTWilfried Thuiller
Centre National de la Recherche Scientifique, Université Joseph Fourier, Laboratoire d'Écologie Alpine
Topics & keywords
- Regression
- Environmental niche modelling
- Statistics
- Species distribution
- Regression analysis
- Distribution (mathematics)
- Prediction interval
- Predictive modelling
- Life in Land