The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Moving beyond static species distribution models in support of conservation biogeography
Open accessAbstract
Aim To demonstrate that multi‐modelling methods have effectively been used to combine static species distribution models (SDM), predicting the geographical pattern of suitable habitat, with dynamic landscape and population models to forecast the impacts of environmental change on species’ status, an important goal of conservation biogeography. Methods Three approaches were considered: (1) incorporating models of species migration to understand the ability of a species to occupy suitable habitat in new locations; (2) linking models of landscape disturbance and succession to models of habitat suitability; and (3) fully linking models of habitat suitability, habitat dynamics and spatially explicit population dynamics. Results Linking species–environment relationships, landscape dynamics and population dynamics in a multi‐modelling framework allows the combined impacts of climate change (affecting species distribution and vital rates) and land cover dynamics (land use change, altered disturbance regimes) on species to be predicted. This approach is only feasible if the life history parameters and habitat requirements of the species are well understood. Main conclusions Forecasts of the impacts of global change on species may be improved by considering multiple causes. A range of methods are available to address the interactions of changing habitat suitability, habitat dynamics and population response that vary in their complexity, realism and data requirements.
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Cites
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(2010) · Cited by 1,762
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What do we gain from simplicity versus complexity in species distribution models?
Merow, C., Smith, M. J., Edwards, T. C., Guisan, A., McMahon, S. M., Normand, S., Thuiller, W., Wüest, R. O., Zimmermann, N. E., & Elith, J. (2014) · Ecography · doi:10.1111/ecog.00845 · Cited by 683
Clark, J. S., Iverson, L., Woodall, C. W., Allen, C. D., Bell, D. M., Bragg, D. C., D'Amato, A. W., Davis, F. W., Hersh, M. H., Ibanez, I., et al. (2016) · Global Change Biology · doi:10.1111/gcb.13160 · Cited by 606
Global change and terrestrial plant community dynamics
Franklin, J., Serra-Diaz, J. M., Syphard, A. D., & Regan, H. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1519911113 · Cited by 451
Self-citationFranklin, J., Davis, F. W., Ikegami, M., Syphard, A. D., Flint, L. E., Flint, A. L., & Hannah, L. (2013) · Global Change Biology · doi:10.1111/gcb.12051 · Cited by 377
Self-citationPredicting potential distributions of invasive species: where to go from here?
Gallien, L., Münkemüller, T., Albert, C. H., Boulangeat, I., & Thuiller, W. (2010) · Diversity and Distributions · doi:10.1111/j.1472-4642.2010.00652.x · Cited by 370
Metadata
- Authors
- Franklin, J.
- Venue
- Diversity and Distributions
- Publisher
- Wiley
- Published
- 2010-04-13
- Volume
- 16
- Issue
- 3
- Pages
- 321-330
- ISSN
- 0967-9952 (ISSN-L)
- 1366-9516
- 1472-4642
- OpenAlex
- W1555708599
- Cited by
- 483
- References
- 92
- FWCI
- 15.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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