Cited by 83Marine and fisheries researchFish Ecology and Management StudiesMathematical and Theoretical Epidemiology and Ecology Models

Unraveling the recruitment problem: A review of environmentally-informed forecasting and management strategy evaluation

Open access
Haltuch, M.A., Brooks, E.N, Brodziak, J., Devine, J.A., Johnson, K.F., Klibansky, N., Nash, R.D.M., Payne, M.R. +3 more·2019·Fisheries Research

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Registry

Crossref · 10.1016/j.fishres.2018.12.016

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • Environmentally informed recruitment forecasting would be more successful for species whose population dynamics are dominated by recruitment and where recruitment is driven by strong environmental factors.

    “Haltuch et al. (2019) suggested that environmentally informed recruitment forecasting would be more successful for species whose population dynamics are dominated by recruitment and where recruitment is driven by strong environmental factors.”

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Authors
Haltuch, M. A., Brooks, E. N., Brodziak, J., Devine, J. A., Johnson, K. F., Klibansky, N., Nash, R. D. M., Payne, M. R., Shertzer, K. W., Subbey, S., & Wells, B. K.
Affiliations
  • NOAA National Marine Fisheries Service (US)
  • National Oceanic and Atmospheric Administration (US)
  • Norwegian Institute of Marine Research (NO)
Corresponding author
Haltuch, M.A.
Venue
Fisheries Research
Publisher
Elsevier BV
Published
2019-09
Volume
217
Pages
198-216
ISSN
0165-7836 (ISSN-L)
OpenAlex
W2913707456
Cited by
83
References
1
Citations by year
2026: 11 · 2025: 10 · 2024: 11 · 2023: 9 · 2022: 11 · 2021: 20 · 2020: 6 · 2019: 5
FWCI
5.40
Type
journal article
Language
en
Open access
Locations
  • Fisheries Research (acceptedVersion)
  • Figshare (submittedVersion, cc-by)
  • NOAA Institutional Repository (submittedVersion)
  • Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
Funders
European Union Horizon 2020 research and innovation program (727852)
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
fish recruitment, stock-recruitment relationship, management strategy evaluation, harvest control rules, autoregressive forecasting, life history strategies, abiotic-biotic interactions, sardine, squid, anadromous fish, nursery grounds

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