The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Methods of assessing extinction risk in marine fishes
Abstract
The decline and disappearance of species from large parts of their former geographical range has become an important issue in fisheries ecology. There is a need to identify which species are at risk of extinction. The available approaches have been subject to considerable debate – particularly when applied to commercially exploited species. Here we have compiled methods that have been used or may be used for assessing threat status of marine organisms. We organize the methods according to the availability of data on the natural history, ecology and population biology of species. There are three general approaches to inferring or assessing extinction risk: (i) correlative approaches based on knowledge of life histories and ecology; (ii) time‐series approaches that examine changes in abundance; and (iii) demographic approaches based on age‐ or stage‐based schedules of vital rates and fisheries reference points. Many methods are well suited to species that are highly catchable and/or have relatively low productivity, but theory is less well developed for assessing extinction risk in species exhibiting narrow geographical distributions or ecological specialization. There is considerable variation in both definitions of extinction risk and the precision and defensibility of the available risk assessment methods, so we suggest a two‐tiered approach for defining and assessing extinction risk. First, simple methods requiring a few easily estimated parameters are used to triage or rapidly assess large numbers of populations and species to identify potentially vulnerable populations or species. Second, the populations and species identified as vulnerable by this process can then be subject to more detailed and rigorous population analysis explicitly considering sources of error and uncertainty.
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
On the Dynamics of Exploited Fish Populations
Beverton, R. J. H., & Holt, S. J. (1958) · Copeia · doi:10.2307/1440619 · Cited by 2,666
Predicting extinction risk in declining species
Purvis, A., Gittleman, J. L., Cowlishaw, G., & Mace, G. M. (2000) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2000.1234 · Cited by 1,768
Plankton effect on cod recruitment in the North Sea
Beaugrand, G., Brander, K. M., Alistair Lindley, J., Souissi, S., & Reid, P. C. (2003) · Nature · doi:10.1038/nature02164 · Cited by 1,284
Life History Invariants: Some Explorations of Symmetry in Evolutionary Ecology
Charnov, E. L. (1993) · doi:10.1093/oso/9780198540724.001.0001 · Cited by 1,254
Collapse and conservation of shark populations in the Northwest Atlantic
Baum, J. K., Myers, R. A., Kehler, D. G., Worm, B., Harley, S. J., & Doherty, P. A. (2003) · Science · doi:10.1126/science.1079777 · Cited by 1,197
Cited by
Maltepe, E., & Fisher, S. J. (2015) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100814-125620 · Cited by 592
Life‐history correlates of extinction risk and recovery potential
Hutchings, J. A., Myers, R. A., García, V. B., Lucifora, L. O., & Kuparinen, A. (2012) · Ecological Applications · doi:10.1890/11-1313.1 · Cited by 234
Trends and management implications of human‐influenced life‐history changes in marine ectotherms
Audzijonyte, A., Fulton, E., Haddon, M., Helidoniotis, F., Hobday, A. J., Kuparinen, A., Morrongiello, J., Smith, A. D., Upston, J., & Waples, R. S. (2016) · Fish and Fisheries · doi:10.1111/faf.12156 · Cited by 106
Gonzalez, A., Mouquet, N., & Loreau, M. (2009) · Biodiversity, Ecosystem Functioning, and Human Wellbeing · doi:10.1093/acprof:oso/9780199547951.003.0010 · Cited by 92
Life in 3-D: life history strategies in tunas, mackerels and bonitos
Juan-Jordá, M. J., Mosqueira, I., Freire, J., & Dulvy, N. K. (2013) · Reviews in Fish Biology and Fisheries · doi:10.1007/s11160-012-9284-4 · Cited by 64
Self-citation
Metadata
- Authors
- Dulvy, N. K., Ellis, J. R., Goodwin, N. B., Grant, A., Reynolds, J. D., & Jennings, S.
- Venue
- Fish and Fisheries
- Publisher
- Wiley
- Published
- 2004-08-13
- Volume
- 5
- Issue
- 3
- Pages
- 255-276
- ISSN
- 1467-2960 (ISSN-L)
- 1467-2979
- OpenAlex
- W2143203900
- Cited by
- 276
- References
- 5
- FWCI
- 5.73
- 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
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.