The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Senescence rates are determined by ranking on the fast–slow life‐history continuum
Open accessAbstract
Comparative analyses of survival senescence by using life tables have identified generalizations including the observation that mammals senesce faster than similar‐sized birds. These generalizations have been challenged because of limitations of life‐table approaches and the growing appreciation that senescence is more than an increasing probability of death. Without using life tables, we examine senescence rates in annual individual fitness using 20 individual‐based data sets of terrestrial vertebrates with contrasting life histories and body size. We find that senescence is widespread in the wild and equally likely to occur in survival and reproduction. Additionally, mammals senesce faster than birds because they have a faster life history for a given body size. By allowing us to disentangle the effects of two major fitness components our methods allow an assessment of the robustness of the prevalent life‐table approach. Focusing on one aspect of life history – survival or recruitment – can provide reliable information on overall senescence.
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
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 17,781
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,176
Koyak, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2290538 · Cited by 7,596
Pleiotropy, natural selection, and the evolution of senescence.
Williams, G. C. (1957) · Evolution · doi:10.1111/j.1558-5646.1957.tb02911.x · Cited by 4,279
Hastie, T., & Tibshirani, R. (2014) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat03141 · Cited by 3,156
The natural regulation of animal numbers
(1972) · Journal of Human Evolution · doi:10.1016/0047-2484(72)90031-0 · Cited by 3,015
CONFRONTING MULTICOLLINEARITY IN ECOLOGICAL MULTIPLE REGRESSION
Graham, M. H. (2003) · Ecology · doi:10.1890/02-3114 · Cited by 2,536
Information theory as an extension of the maximum likelihood principle
Akaike, H. (1973) · Medical Entomology and Zoology · Cited by 2,357
The moulding of senescence by natural selection
Hamilton, W. D. (1966) · Journal of Theoretical Biology · doi:10.1016/0022-5193(66)90184-6 · Cited by 2,263
Cited by
Personality and the emergence of the pace-of-life syndrome concept at the population level
Réale, D., Garant, D., Humphries, M. M., Bergeron, P., Careau, V., & Montiglio, P.-O. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0208 · Cited by 1,446
Oxidative stress in ecology and evolution: lessons from avian studies
Costantini, D. (2008) · Ecology Letters · doi:10.1111/j.1461-0248.2008.01246.x · Cited by 521
The emergence of longevous populations
Colchero, F., Rau, R., Jones, O. R., Barthold, J. A., Conde, D. A., Lenart, A., Nemeth, L., Scheuerlein, A., Schoeley, J., Torres, C., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612191113 · Cited by 182
Self-citationThe long lives of primates and the ‘invariant rate of ageing’ hypothesis
Colchero, F., Aburto, J. M., Archie, E. A., Boesch, C., Breuer, T., Campos, F. A., Collins, A., Conde, D. A., Cords, M., Crockford, C., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23894-3 · Cited by 94
Metadata
- Authors
- Jones, O. R., Gaillard, J., Tuljapurkar, S., Alho, J. S., Armitage, K. B., Becker, P. H., Bize, P., Brommer, J., Charmantier, A., Charpentier, M., Clutton‐Brock, T., Dobson, F. S., Festa‐Bianchet, M., Gustafsson, L., Jensen, H., Jones, C. G., Lillandt, B., McCleery, R., Merilä, J., Neuhaus, P., Nicoll, M. A. C., Norris, K., Oli, M. K., Pemberton, J., Pietiäinen, H., Ringsby, T. H., Roulin, A., Saether, B., Setchell, J. M., Sheldon, B. C., Thompson, P. M., Weimerskirch, H., Jean Wickings, E., & Coulson, T.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2008-04-28
- Volume
- 11
- Issue
- 7
- Pages
- 664-673
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2161955428
- Cited by
- 353
- References
- 52
- FWCI
- 19.46
- 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: Senescence rates are determined by ranking on the fast–slow life‐history continuum. https://app.cochat.ai/papers/10.1111/j.1461-0248.2008.01187.x
- The paper
- Jones, O. R., Gaillard, J., Tuljapurkar, S., Alho, J. S., Armitage, K. B., Becker, P. H., Bize, P., Brommer, J., Charmantier, A., Charpentier, M., Clutton‐Brock, T., Dobson, F. S., Festa‐Bianchet, M., Gustafsson, L., Jensen, H., Jones, C. G., Lillandt, B., McCleery, R., Merilä, J., . . . Coulson, T. (2008). Senescence rates are determined by ranking on the fast–slow life‐history continuum. Ecology Letters. https://doi.org/10.1111/j.1461-0248.2008.01187.x
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.
