Are niche‐based species distribution models transferable in space?
Environment Agency Austria · Vienna Institute for Nature Conservation & Analyses · +1 more institution
Abstract
Abstract Aim To assess the geographical transferability of niche‐based species distribution models fitted with two modelling techniques. Location Two distinct geographical study areas in Switzerland and Austria, in the subalpine and alpine belts. Methods Generalized linear and generalized additive models (GLM and GAM) with a binomial probability distribution and a logit link were fitted for 54 plant species, based on topoclimatic predictor variables. These models were then evaluated quantitatively and used for spatially explicit predictions within (internal evaluation and prediction) and between (external evaluation and prediction) the two regions. Comparisons of evaluations and spatial predictions between…
Citation impact
- FWCI
- 50.91
- Percentile
- 100%
- References
- 89
Authors
6- CFChristophe F. Randin
- TDThomas Dirnböck
Environment Agency Austria
- SDStefan Dullinger
Vienna Institute for Nature Conservation & Analyses
- NENiklaus E. Zimmermann
Swiss Federal Institute for Forest, Snow and Landscape Research
- MZMassimiliano Zappa
Swiss Federal Institute for Forest, Snow and Landscape Research
Topics & keywords
- Generalized linear model
- Transferability
- Generalized additive model
- Niche
- Logit
- Statistics
- Distribution (mathematics)
- Species distribution
- Life in Land