The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Meta‐analysis reveals lower genetic diversity in overfished populations
Abstract
While population declines can drive the loss of genetic diversity under some circumstances, it has been unclear whether this loss is a general consequence of overharvest in highly abundant marine fishes. We compiled data from 11 049 loci across 140 species and found that allelic richness was lower in overfished populations within 9 of 12 genera and families. A multiple linear regression showed that allelic richness was on average 12% lower (P < 0.0001) in overharvested populations after accounting for the effects of body size, latitude and other factors. Heterozygosity was on average 2% lower (P = 0.030). Simulations confirmed that these patterns are consistent with a recent bottleneck in abundant species and also showed that our analysis likely underestimates the loss of rare alleles by a factor of two or three. This evidence suggests that overharvest drives the decay of genetic diversity across a wide range of marine fishes. Such reductions of genetic diversity in some of the world's most abundant species may lead to a long‐term impact of fishing on their evolutionary potential, particularly if abundance remains low and diversity continues to decay.
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
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
Worm, B., Hilborn, R., Baum, J. K., Branch, T. A., Collie, J. S., Costello, C., Fogarty, M. J., Fulton, E. A., Hutchings, J. A., Jennings, S., et al. (2009) · Science · doi:10.1126/science.1173146 · Cited by 2,216
Self-citationReliability of genetic bottleneck tests for detecting recent population declines
PEERY, M. Z., KIRBY, R., REID, B. N., STOELTING, R., DOUCET‐BËER, E., ROBINSON, S., VÁSQUEZ‐CARRILLO, C., PAULI, J. N., & PALSBØLL, P. J. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05635.x · Cited by 578 · cited 1×
“Previous researchers have pointed out the low power of bottleneck tests when conducted with ten or fewer loci (Cornuet & Luikart 1996; Antao et al. 2011; Peery et al. 2012), and our simulations confirmed similar findings for before–after sampling of allelic richness and heterozygosity with twenty or fewer loci.”
ResultUnexpected patterns of fisheries collapse in the world's oceans
Pinsky, M. L., Jensen, O. P., Ricard, D., & Palumbi, S. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1015313108 · Cited by 267
Self-citation
Cited by
Marine defaunation: Animal loss in the global ocean
McCauley, D. J., Pinsky, M. L., Palumbi, S. R., Estes, J. A., Joyce, F. H., & Warner, R. R. (2015) · Science · doi:10.1126/science.1255641 · Cited by 1,305
Self-citationWilli, Y., Kristensen, T. N., Sgrò, C. M., Weeks, A. R., Ørsted, M., & Hoffmann, A. A. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2105076119 · Cited by 281
Conservation and the Genomics of Populations
Allendorf, F. W., Funk, W. C., Aitken, S. N., Byrne, M., Luikart, G., & Antunes, A. (2022) · doi:10.1093/oso/9780198856566.001.0001 · Cited by 207
Robinson, J. M., & Breed, M. F. (2019) · Challenges · doi:10.3390/challe10010009 · Cited by 147
Hiatt, A. C., Hove, A. A., Ward, J. R., Ventura, L., Neufeld, H. S., Boyd, A. E., Clarke, H. D., Horton, J. L., & Murrell, Z. E. (2021) · Integrative and Comparative Biology · doi:10.1093/icb/icab089 · Cited by 20
Metadata
- Authors
- Pinsky, M. L., & Palumbi, S. R.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2013-10-25
- Volume
- 23
- Issue
- 1
- Pages
- 29-39
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2135866999
- Cited by
- 458
- References
- 4
- FWCI
- 12.95
- 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: Meta‐analysis reveals lower genetic diversity in overfished populations. https://app.cochat.ai/papers/10.1111/mec.12509
- The paper
- Pinsky, M. L., & Palumbi, S. R. (2014). Meta‐analysis reveals lower genetic diversity in overfished populations. Molecular Ecology. https://doi.org/10.1111/mec.12509
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.
