Scaling factors for multi-region stock assessments, with an application to Indian Ocean tropical tunas
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Spatial structure is recognized in current stock assessments, which need to determine relative abundances among regions.
“although spatial structure is recognized in current stock assessments, which need to determine relative abundances among regions”
From A review of the fisheries, life history and stock structure of tropical tuna (skipjack Katsuwonus pelamis, yellowfin Thunnus albacares and bigeye Thunnus obesus) in the Indian Ocean (2021) · cites this paper as Hoyle and Langley, 2020
Cited by
Sorted by citations
- Authors
- Hoyle, S. D., & Langley, A. D.
- Affiliations
- Government of New Zealand (NZ)
- Corresponding author
- Hoyle, Simon D.
- Venue
- Fisheries Research
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 228
- Pages
- 105586
- ISSN
- 0165-7836 (ISSN-L)
- OpenAlex
- W3016605011
- Cited by
- 15
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 2 · 2020: 2
- FWCI
- 0.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Fisheries Research (publishedVersion)
- Funders
- Food and Agriculture Organization of the United Nations
- International Seafood Sustainability Foundation
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
- Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
- Keywords
- tropical tuna, Indian Ocean, relative abundance, standardization model, statistical weights, operational data, catch rates
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