The DOI matches its Crossref record; 256 of the 256 references it cites were found in a registry or an index.
Strengths and Weaknesses of Quantitative Climate Reconstructions Based on Late-Quaternary Biological Proxies
Open accessAbstract
The importance of reconstructing past environments quantitatively in palaeoecology is reviewed by showing that many ecological questions asked of palaeoecological data commonly involve the reconstructions of past environment.Three basic approaches to reconstructing past climate from palaeoecological data are outlined and discussed in terms of their assumptions, strengths, and weaknesses.These approaches are the indicator-species approach involving bioclimateenvelope modelling; the assemblage approach involving modern analogue techniques and response surfaces; and the multivariate calibration-function approach.Topics common to all approaches are reviewed -presentation and interpretation, evaluation and validation, comparison, and general limitations of climate reconstructions.Challenges and possible future developments are presented and the potential future role of quantitative climate reconstructions in palaeoecology is summarised.
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Philosophical transactions of the Royal Society of London. B
Press, H. (1886) · Cited by 10,080
Novel methods improve prediction of species’ distributions from occurrence data
Elith*, J., H. Graham*, C., P. Anderson, R., Dudík, M., Ferrier, S., Guisan, A., J. Hijmans, R., Huettmann, F., R. Leathwick, J., Lehmann, A., et al. (2006) · Ecography · doi:10.1111/j.2006.0906-7590.04596.x · Cited by 9,088
Predictive habitat distribution models in ecology
Guisan, A., & Zimmermann, N. E. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00354-9 · Cited by 7,359
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
Elith, J., & Leathwick, J. R. (2009) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.110308.120159 · Cited by 6,707
Predicting species distribution: offering more than simple habitat models
Guisan, A., & Thuiller, W. (2005) · Ecology Letters · doi:10.1111/j.1461-0248.2005.00792.x · Cited by 6,587
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
Phillips, S. J., & Dudík, M. (2008) · Ecography · doi:10.1111/j.0906-7590.2008.5203.x · Cited by 5,890
Journal of the American Statistical Association
Koehler, A. B. (1995) · International Journal of Forecasting · doi:10.1016/0169-2070(95)90067-5 · Cited by 5,337
Proceedings of the National Academy of Sciences, USA
(1996) · Current Biology · doi:10.1016/s0960-9822(09)00431-x · Cited by 5,258
THE MAINTENANCE OF SPECIES‐RICHNESS IN PLANT COMMUNITIES: THE IMPORTANCE OF THE REGENERATION NICHE
GRUBB, P. J. (1977) · Biological Reviews · doi:10.1111/j.1469-185x.1977.tb01347.x · Cited by 4,402
Model selection in ecology and evolution
Johnson, J. B., & Omland, K. S. (2004) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2003.10.013 · Cited by 3,838
Cited by
Biology in the Anthropocene: Challenges and insights from young fossil records
Kidwell, S. M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1403660112 · Cited by 169
Paleodistribution modeling in archaeology and paleoanthropology
Franklin, J., Potts, A. J., Fisher, E. C., Cowling, R. M., & Marean, C. W. (2015) · Quaternary Science Reviews · doi:10.1016/j.quascirev.2014.12.015 · Cited by 71
Metadata
- Authors
- Birks, H. J. B.
- Venue
- The Open Ecology Journal
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2011-03-24
- Volume
- 3
- Issue
- 1
- Pages
- 68-110
- ISSN
- 1874-2130 (ISSN-L)
- OpenAlex
- W2811158433
- Cited by
- 389
- References
- 256
- FWCI
- 18.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Birks, H. J. B. (2011). Strengths and Weaknesses of Quantitative Climate Reconstructions Based on Late-Quaternary Biological Proxies. The Open Ecology Journal. https://doi.org/10.2174/1874213001003020068
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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.
