The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Do geographic distribution, niche property and life form explain plants' vulnerability to global change?
Abstract
We modelled the future distribution in 2050 of 975 endemic plant species in southern Africa distributed among seven life forms, including new methodological insights improving the accuracy and ecological realism of predictions of global changes studies by: (i) using only endemic species as a way to capture the full realized niche of species, (ii) considering the direct impact of human pressure on landscape and biodiversity jointly with climate, and (iii) taking species' migration into account. Our analysis shows important promises for predicting the impacts of climate change in conjunction with land transformation. We have shown that the endemic flora of Southern Africa on average decreases with 41% in species richness among habitats and with 39% on species distribution range for the most optimistic scenario. We also compared the patterns of species' sensitivity with global change across life forms, using ecological and geographic characteristics of species. We demonstrate here that species and life form vulnerability to global changes can be partly explained according to species' (i) geographical distribution along climatic and biogeographic gradients, like climate anomalies, (ii) niche breadth or (iii) proximity to barrier preventing migration. Our results confirm that the sensitivity of a given species to global environmental changes depends upon its geographical distribution and ecological proprieties, and makes it possible to estimate a priori its potential sensitivity to these changes.
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Cites
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Global Biodiversity Scenarios for the Year 2100
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Fingerprints of global warming on wild animals and plants
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Selecting thresholds of occurrence in the prediction of species distributions
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Functional biotic homogenization of bird communities in disturbed landscapes
Devictor, V., Julliard, R., Clavel, J., Jiguet, F., Lee, A., & Couvet, D. (2008) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00364.x · Cited by 463
Schweiger, O., Biesmeijer, J. C., Bommarco, R., Hickler, T., Hulme, P. E., Klotz, S., Kühn, I., Moora, M., Nielsen, A., Ohlemüller, R., et al. (2010) · Biological Reviews · doi:10.1111/j.1469-185x.2010.00125.x · Cited by 431
Ramirez-Villegas, J., Cuesta, F., Devenish, C., Peralvo, M., Jarvis, A., & Arnillas, C. A. (2014) · Journal for Nature Conservation · doi:10.1016/j.jnc.2014.03.007 · Cited by 138
Metadata
- Authors
- BROENNIMANN, O., THUILLER, W., HUGHES, G., MIDGLEY, G. F., ALKEMADE, J. M. R., & GUISAN, A.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2006-04-13
- Volume
- 12
- Issue
- 6
- Pages
- 1079-1093
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2112672521
- Cited by
- 310
- References
- 7
- FWCI
- 7.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- BROENNIMANN, O., THUILLER, W., HUGHES, G., MIDGLEY, G. F., ALKEMADE, J. M. R., & GUISAN, A. (2006). Do geographic distribution, niche property and life form explain plants' vulnerability to global change? Global Change Biology. https://doi.org/10.1111/j.1365-2486.2006.01157.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
