A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels
University of Helsinki · Norwegian University of Science and Technology · +33 more institutions
Abstract
Abstract A large array of species distribution model ( SDM ) approaches has been developed for explaining and predicting the occurrences of individual species or species assemblages. Given the wealth of existing models, it is unclear which models perform best for interpolation or extrapolation of existing data sets, particularly when one is concerned with species assemblages. We compared the predictive performance of 33 variants of 15 widely applied and recently emerged SDM s in the context of multispecies data, including both joint SDM s that model multiple species together, and stacked SDM s that model each species individually combining the predictions afterward. We offer a comprehensive evaluation of these…
Citation impact
- FWCI
- 39.67
- Percentile
- 100%
- References
- 172
Authors
35Topics & keywords
- Species richness
- Extrapolation
- Context (archaeology)
- Predictive power
- Calibration
- Predictive modelling
- Species distribution
- Ecology
Funding
- HYHelsingin Yliopisto
- NINational Institute for Mathematical and Biological Synthesis
- MDMinisterio de Ciencia, Innovación y Universidades
- AOAcademy of FinlandAwards: 223257, 309581, 308651, 284601
- JJJane ja Aatos Erkon SäätiöAwards: 223257, 309581
- NFNorges ForskningsrådAwards: 284601, 309581, 223257, CoE grant 223257
- HYHelsingin Yliopiston Tiedesäätiö