The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Predicting changes in the distribution and abundance of species under environmental change
Open accessAbstract
Environmental changes are expected to alter both the distribution and the abundance of organisms. A disproportionate amount of past work has focused on distribution only, either documenting historical range shifts or predicting future occurrence patterns. However, simultaneous predictions of abundance and distribution across landscapes would be far more useful. To critically assess which approaches represent advances towards the goal of joint predictions of abundance and distribution, we review recent work on changing distributions and on effects of environmental drivers on single populations. Several methods have been used to predict changing distributions. Some of these can be easily modified to also predict abundance, but others cannot. In parallel, demographers have developed a much better understanding of how changing abiotic and biotic drivers will influence growth rate and abundance in single populations. However, this demographic work has rarely taken a landscape perspective and has largely ignored the effects of intraspecific density. We advocate a synthetic approach in which population models accounting for both density dependence and effects of environmental drivers are used to make integrated predictions of equilibrium abundance and distribution across entire landscapes. Such predictions would constitute an important step forward in assessing the ecological consequences of environmental changes.
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Cites
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
A statistical explanation of MaxEnt for ecologists
Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., & Yates, C. J. (2011) · Diversity and Distributions · doi:10.1111/j.1472-4642.2010.00725.x · Cited by 6,699
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
Ecology: The Experimental Analysis of Distribution and Abundance
Krebs, C. J. (1973) · Cited by 4,620
MATRIX POPULATION MODELS: CONSTRUCTION ANALYSIS AND INTERPRETATION
Weckerly, F. W. (2001) · Natural Resource Modeling · doi:10.1111/j.1939-7445.2001.tb00075.x · Cited by 3,232
Caswell, H. (2014) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat07481 · Cited by 2,448
A Significant Upward Shift in Plant Species Optimum Elevation During the 20th Century
Lenoir, J., Gégout, J. C., Marquet, P. A., de Ruffray, P., & Brisse, H. (2008) · Science · doi:10.1126/science.1156831 · Cited by 2,309
Poleward shifts in geographical ranges of butterfly species associated with regional warming
Parmesan, C., Ryrholm, N., Stefanescu, C., Hill, J. K., Thomas, C. D., Descimon, H., Huntley, B., Kaila, L., Kullberg, J., Tammaru, T., et al. (1999) · Nature · doi:10.1038/21181 · Cited by 2,274
Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges
Kearney, M., & Porter, W. (2009) · Ecology Letters · doi:10.1111/j.1461-0248.2008.01277.x · Cited by 2,220
Quantitative conservation biology
Morris, W. F., & Doak, D. F. (2002) · Cited by 1,746
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Metadata
- Authors
- Ehrlén, J., & Morris, W. F.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2015-01-22
- Volume
- 18
- Issue
- 3
- Pages
- 303-314
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2083360316
- Cited by
- 490
- References
- 77
- FWCI
- 23.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
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