The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Patterns and Power of Phenotypic Selection in Nature
Abstract
Phenotypic selection occurs when individuals with certain characteristics produce more surviving offspring than individuals with other characteristics. Although selection is regarded as the chief engine of evolutionary change, scientists have only recently begun to measure its action in the wild. These studies raise numerous questions: How strong is selection, and do different types of traits experience different patterns of selection? Is selection on traits that affect mating success as strong as selection on traits that affect survival? Does selection tend to favor larger body size, and, if so, what are its consequences? We explore these questions and discuss the pitfalls and future prospects of measuring selection in natural populations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The measurement of selection on correlated characters
Lande, R., & Arnold, S. J. (1983) · Evolution · doi:10.1111/j.1558-5646.1983.tb00236.x · Cited by 5,437
QUANTITATIVE GENETIC ANALYSIS OF MULTIVARIATE EVOLUTION, APPLIED TO BRAIN:BODY SIZE ALLOMETRY
Lande, R. (1979) · Evolution · doi:10.1111/j.1558-5646.1979.tb04694.x · Cited by 2,648
Cited by
The return of the variance: intraspecific variability in community ecology
Violle, C., Enquist, B. J., McGill, B. J., Jiang, L., Albert, C. H., Hulshof, C., Jung, V., & Messier, J. (2012) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2011.11.014 · Cited by 1,768
ESTIMATING NONLINEAR SELECTION GRADIENTS USING QUADRATIC REGRESSION COEFFICIENTS: DOUBLE OR NOTHING?
Stinchcombe, J. R., Agrawal, A. F., Hohenlohe, P. A., Arnold, S. J., & Blows, M. W. (2008) · Evolution · doi:10.1111/j.1558-5646.2008.00449.x · Cited by 494
Metadata
- Authors
- Kingsolver, J. G., & Pfennig, D. W.
- Venue
- BioScience
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-07-01
- Volume
- 57
- Issue
- 7
- Pages
- 561-572
- ISSN
- 0006-3568 (ISSN-L)
- 1525-3244
- OpenAlex
- W2114996962
- Cited by
- 291
- References
- 2
- FWCI
- 12.66
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Patterns and Power of Phenotypic Selection in Nature. https://app.cochat.ai/papers/10.1641/b570706
- The paper
- Kingsolver, J. G., & Pfennig, D. W. (2007). Patterns and Power of Phenotypic Selection in Nature. BioScience. https://doi.org/10.1641/b570706
Data sources
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.
