The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Phenotypic Selection in Natural Populations: What Limits Directional Selection?
Open accessAbstract
Studies of phenotypic selection document directional selection in many natural populations. What factors reduce total directional selection and the cumulative evolutionary responses to selection? We combine two data sets for phenotypic selection, representing more than 4,600 distinct estimates of selection from 143 studies, to evaluate the potential roles of fitness trade-offs, indirect (correlated) selection, temporally varying selection, and stabilizing selection for reducing net directional selection and cumulative responses to selection. We detected little evidence that trade-offs among different fitness components reduced total directional selection in most study systems. Comparisons of selection gradients and selection differentials suggest that correlated selection frequently reduced total selection on size but not on other types of traits. The direction of selection on a trait often changes over time in many temporally replicated studies, but these fluctuations have limited impact in reducing cumulative directional selection in most study systems. Analyses of quadratic selection gradients indicated stabilizing selection on body size in at least some studies but provided little evidence that stabilizing selection is more common than disruptive selection for most traits or study systems. Our analyses provide little evidence that fitness trade-offs, correlated selection, or stabilizing selection strongly constrains the directional selection reported for most quantitative traits.
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
Introduction to Quantitative Genetics.
Edwards, A. W. F., & Falconer, D. S. (1982) · Biometrics · doi:10.2307/2529912 · Cited by 21,447
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
On the Origin of Species by Means of Natural Selection
Livezey, R. L., & Darwin, C. (1953) · American Midland Naturalist · doi:10.2307/2485224 · Cited by 5,405
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
Bivariate line‐fitting methods for allometry
Warton, D. I., Wright, I. J., Falster, D. S., & Westoby, M. (2006) · Biological Reviews · doi:10.1017/s1464793106007007 · Cited by 2,319
Natural selection and the heritability of fitness components
Mousseau, T. A., & Roff, D. A. (1987) · Heredity · doi:10.1038/hdy.1987.113 · Cited by 1,661
The physiology of life history trade-offs in animals
Zera, A. J., & Harshman, L. G. (2001) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.32.081501.114006 · Cited by 1,577
Costs of Reproduction: An Evaluation of the Empirical Evidence
Reznick, D. (1985) · Oikos · doi:10.2307/3544698 · Cited by 1,335
ON THE MEASUREMENT OF NATURAL AND SEXUAL SELECTION: THEORY
Arnold, S. J., & Wade, M. J. (1984) · Evolution · doi:10.1111/j.1558-5646.1984.tb00344.x · Cited by 1,265
Ecology and Evolution of Darwin's Finches
Snow, D. W., & Grant, P. R. (1988) · The Journal of Animal Ecology · doi:10.2307/4785 · Cited by 1,174
Cited by
Pennell, M. W., & Harmon, L. J. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12157 · Cited by 255
Meta‐analysis of magnitudes, differences and variation in evolutionary parameters
Morrissey, M. B. (2016) · Journal of Evolutionary Biology · doi:10.1111/jeb.12950 · Cited by 149
Meta-analysis of meta-analyses in plant evolutionary ecology
Castellanos, M. C., & Verdú, M. (2012) · Evolutionary Ecology · doi:10.1007/s10682-012-9562-6 · Cited by 19
Metadata
- Authors
- Kingsolver, J. G., & Diamond, S. E.
- Venue
- The American Naturalist
- Publisher
- University of Chicago Press
- Published
- 2011-03
- Volume
- 177
- Issue
- 3
- Pages
- 346-357
- ISSN
- 0003-0147 (ISSN-L)
- 1537-5323
- OpenAlex
- W2078701932
- Cited by
- 287
- References
- 48
- FWCI
- 21.82
- Type
- journal article
- Language
- en
- Open access
- green
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: Phenotypic Selection in Natural Populations: What Limits Directional Selection? https://app.cochat.ai/papers/10.1086/658341
- The paper
- Kingsolver, J. G., & Diamond, S. E. (2011). Phenotypic Selection in Natural Populations: What Limits Directional Selection? The American Naturalist. https://doi.org/10.1086/658341
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.