Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models
NSW Department of Planning and Environment · Stony Brook University · +7 more institutions
Abstract
Species responses to climate change may be influenced by changes in available habitat, as well as population processes, species interactions and interactions between demographic and landscape dynamics. Current methods for assessing these responses fail to provide an integrated view of these influences because they deal with habitat change or population dynamics, but rarely both. In this study, we linked a time series of habitat suitability models with spatially explicit stochastic population models to explore factors that influence the viability of plant species populations under stable and changing climate scenarios in South African fynbos, a global biodiversity hot spot. Results indicate that complex…
Citation impact
- FWCI
- 75.25
- Percentile
- 100%
- References
- 19
Authors
9- DADavid A. KeithCorresponding
NSW Department of Planning and Environment
- HRH. Reşi̇t Akçakaya
Stony Brook University
- WTWilfried Thuiller
Centre National de la Recherche Scientifique, Laboratoire d'Écologie Alpine
- GFGuy F. Midgley
South African National Biodiversity Institute
- RGRichard G. Pearson
American Museum of Natural History
Topics & keywords
- Climate change
- Habitat
- Biodiversity
- Ecology
- Extinction (optical mineralogy)
- Population
- Population viability analysis
- Disturbance (geology)
- Climate action