The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Evolutionary Demography of Ecological Change: Linking Trait Variation and Population Growth
Abstract
Population dynamics and evolutionary change are linked by the fundamental biological processes of birth and death. This means that population growth may correlate with the strength of selection, whereas evolutionary change can leave an ecological signature. We decompose population growth in an age-structured population into contributions from variation in a quantitative trait. We report that the distribution of body sizes within a population of Soay sheep can markedly influence population dynamics, accounting for up to one-fifth of observed population growth. Our results suggest that there is substantial opportunity for evolutionary dynamics to leave an ecological signature and visa versa.
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Citations
Cites
The genetical theory of natural selection
Fisher, R. A. (1930) · doi:10.5962/bhl.title.27468 · Cited by 17,617
Cited by
A mathematical formalism for natural selection with arbitrary spatial and genetic structure
Allen, B., & McAvoy, A. (2019) · Journal of Mathematical Biology · doi:10.1007/s00285-018-1305-z · Cited by 37
Metadata
- Authors
- Pelletier, F., Clutton-Brock, T., Pemberton, J., Tuljapurkar, S., & Coulson, T.
- Venue
- Science
- Published
- 2007-03-16
- Volume
- 315
- Issue
- 5818
- Pages
- 1571-1574
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2082920736
- Cited by
- 238
- References
- 1
- FWCI
- 17.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pelletier, F., Clutton-Brock, T., Pemberton, J., Tuljapurkar, S., & Coulson, T. (2007). The Evolutionary Demography of Ecological Change: Linking Trait Variation and Population Growth. Science. https://doi.org/10.1126/science.1139024
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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.
