Recruitment in tuna RFMO stock assessment and management: A review of current approaches and challenges
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
The recruitment of bigeye tuna is difficult to monitor by fishery-independent methods.
“As a highly migratory species in the open seas, the recruitment of bigeye tuna is difficult to monitor by fishery-independent methods (Kolody et al., 2019).”
From Impacts of phytoplankton availability on bigeye tuna (Thunnus obesus) recruitment in the Indian Ocean (2024) · cites this paper as Kolody et al., 2019
The recruitment variability parameter σR is frequently overestimated and there is controversy regarding the setting of σR in tuna stock assessments.
“Several studies have pointed out that σR is frequently overestimated, and there are still controversies regarding the setting of σR in tuna stock assessments (ISSF, 2011; Kolody et al., 2019).”
From Impacts of phytoplankton availability on bigeye tuna (Thunnus obesus) recruitment in the Indian Ocean (2024) · cites this paper as Kolody et al., 2019
Fishery-independent recruitment monitoring programs remain rare in tuna management due to high cost and logistical challenges.
“due to the high cost and logistical challenges, they remain rare in tuna management (Kolody et al., 2019).”
From Impacts of phytoplankton availability on bigeye tuna (Thunnus obesus) recruitment in the Indian Ocean (2024) · cites this paper as Kolody et al., 2019
Cites
Ingram Jr., G. W., Richards, W. J., Lamkin, J. T., & Muhling, B. (2010) · Aquatic Living Resources · doi:10.1051/alr/2009053 · Cited by 54 · see citing works
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Wang, Y., Zhang, Y., Geng, Z., & Zhu, J. (2024) · Frontiers in Marine Science · doi:10.3389/fmars.2024.1392273 · Cited by 2 · see citing works
- Authors
- Kolody, D. S., Eveson, J. P., Preece, A. L., Davies, C. R., & Hillary, R. M.
- Affiliations
- CSIRO Oceans and Atmosphere (AU)
- Corresponding author
- Kolody, Dale S.
- Venue
- Fisheries Research
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 217
- Pages
- 217-234
- ISSN
- 0165-7836 (ISSN-L)
- OpenAlex
- W2906650377
- Cited by
- 13
- References
- 1
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 1 · 2019: 1
- FWCI
- 0.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Fisheries Research (publishedVersion)
- 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
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Keywords
- regional fisheries management organizations, stock assessment, aerial survey, southern bluefin tuna, stock-recruitment relationship, penalized likelihood, ensemble learning, management strategy evaluation, recruitment uncertainty, tipping points
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.
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