The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Climatic extremes improve predictions of spatial patterns of tree species
Open accessAbstract
Understanding niche evolution, dynamics, and the response of species to climate change requires knowledge of the determinants of the environmental niche and species range limits. Mean values of climatic variables are often used in such analyses. In contrast, the increasing frequency of climate extremes suggests the importance of understanding their additional influence on range limits. Here, we assess how measures representing climate extremes (i.e., interannual variability in climate parameters) explain and predict spatial patterns of 11 tree species in Switzerland. We find clear, although comparably small, improvement (+20% in adjusted D 2 , +8% and +3% in cross-validated True Skill Statistic and area under the receiver operating characteristics curve values) in models that use measures of extremes in addition to means. The primary effect of including information on climate extremes is a correction of local overprediction and underprediction. Our results demonstrate that measures of climate extremes are important for understanding the climatic limits of tree species and assessing species niche characteristics. The inclusion of climate variability likely will improve models of species range limits under future conditions, where changes in mean climate and increased variability are expected.
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Cites
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Self-citationClimate change and disruptions to global fire activity
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Metadata
- Authors
- Zimmermann, N. E., Yoccoz, N. G., Edwards, T. C., Meier, E. S., Thuiller, W., Guisan, A., Schmatz, D. R., & Pearman, P. B.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-11-17
- Volume
- 106
- Issue
- supplement_2
- Pages
- 19723-19728
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2016670837
- Cited by
- 392
- References
- 7
- FWCI
- 10.97
- Type
- journal article
- Language
- en
- Open access
- green
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- Zimmermann, N. E., Yoccoz, N. G., Edwards, T. C., Meier, E. S., Thuiller, W., Guisan, A., Schmatz, D. R., & Pearman, P. B. (2009). Climatic extremes improve predictions of spatial patterns of tree species. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0901643106
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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