The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Individual Covariation in Life‐History Traits: Seeing the Trees Despite the Forest
Abstract
We investigated the influence of age on survival and breeding rates in a long-lived species Rissa tridactyla using models with individual random effects permitting variation and covariation in fitness components among individuals. Differences in survival or breeding probabilities among individuals are substantial, and there was positive covariation between survival and breeding probability; birds that were more likely to survive were also more likely to breed, given that they survived. The pattern of age-related variation in these rates detected at the individual level differed from that observed at the population level. Our results provided confirmation of what has been suggested by other investigators: within-cohort phenotypic selection can mask senescence. Although this phenomenon has been extensively studied in humans and captive animals, conclusive evidence of the discrepancy between population-level and individual-level patterns of age-related variation in life-history traits is extremely rare in wild animal populations. Evolutionary studies of the influence of age on life-history traits should use approaches differentiating population level from the genuine influence of age: only the latter is relevant to theories of life-history evolution. The development of models permitting access to individual variation in fitness is a promising advance for the study of senescence and evolutionary processes.
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
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Searle, S. R., Casella, G., & McCulloch, C. E. (1992) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316856 · Cited by 1,926
MIXOR: a computer program for mixed-effects ordinal regression analysis
Hedeker, D., & Gibbons, R. D. (1996) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(96)01720-8 · Cited by 408
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
Metadata
- Authors
- Cam, E., Link, W. A., Cooch, E. G., Monnat, J., & Danchin, E.
- Venue
- The American Naturalist
- Publisher
- University of Chicago Press
- Published
- 2002-01
- Volume
- 159
- Issue
- 1
- Pages
- 96-105
- ISSN
- 0003-0147 (ISSN-L)
- 1537-5323
- OpenAlex
- W2175301299
- Cited by
- 388
- References
- 3
- FWCI
- 10.75
- 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: Individual Covariation in Life‐History Traits: Seeing the Trees Despite the Forest. https://app.cochat.ai/papers/10.1086/324126
- The paper
- Cam, E., Link, W. A., Cooch, E. G., Monnat, J., & Danchin, E. (2002). Individual Covariation in Life‐History Traits: Seeing the Trees Despite the Forest. The American Naturalist. https://doi.org/10.1086/324126
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.