The art of modelling range-shifting species
University of Melbourne · AT&T (United States)
Abstract
1. Species are shifting their ranges at an unprecedented rate through human transportation and environmental change. Correlative species distribution models (SDMs) are frequently applied for predicting potential future distributions of range-shifting species, despite these models’ assumptions that species are at equilibrium with the environments used to train (fit) the models, and that the training data are representative of conditions to which the models are predicted. Here we explore modelling approaches that aim to minimize extrapolation errors and assess predictions against prior biological knowledge. Our aim was to promote methods appropriate to range-shifting species. 2. We use an invasive species, the…
Citation impact
- FWCI
- 104.25
- Percentile
- 100%
- References
- 80
Authors
3Topics & keywords
- Extrapolation
- Species distribution
- Range (aeronautics)
- Computer science
- Climate change
- Environmental niche modelling
- Econometrics
- Ecology
- Climate action