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The cresting wave: larval settlement and ocean temperatures predict change in the American lobster harvest.
Oppenheim, Noah G; Wahle, Richard A; Brady, Damian C; Goode, Andrew G; Pershing, Andrew J.
Affiliation
  • Oppenheim NG; University of Maine, School of Marine Sciences, Darling Marine Center, Walpole, Maine, 04573, USA.
  • Wahle RA; Institute for Fisheries Resources, 991 Marine Drive, San Francisco, California, 94129, USA.
  • Brady DC; University of Maine, School of Marine Sciences, Darling Marine Center, Walpole, Maine, 04573, USA.
  • Goode AG; University of Maine, School of Marine Sciences, Darling Marine Center, Walpole, Maine, 04573, USA.
  • Pershing AJ; University of Maine, School of Marine Sciences, Darling Marine Center, Walpole, Maine, 04573, USA.
Ecol Appl ; 29(8): e02006, 2019 12.
Article de En | MEDLINE | ID: mdl-31541510
ABSTRACT
Adding to the challenge of predicting fishery recruitment in a changing environment is downscaling predictions to capture locally divergent trends over a species' range. In recent decades, the American lobster (Homarus americanus) fishery has shifted poleward along the northwest Atlantic coast, one of the most rapidly warming regions of the world's oceans. Building on evidence that early post-settlement life stages predict future fishery recruitment, we describe enhancements to a forecasting model that predict landings using an annual larval settlement index from 62 fixed sites among 10 study areas from Rhode Island, USA to New Brunswick, Canada. The model is novel because it incorporates local bottom temperature and disease prevalence to scale spatial and temporal changes in growth and mortality. For nine of these areas, adding environmental predictors significantly improved model performance, capturing a landings surge in the eastern Gulf of Maine, and collapse in southern New England. On the strength of these analyses, we project landings within the next decade to decline to near historical levels in the Gulf of Maine and no recovery in the south. This approach is timely as downscaled ocean temperature projections enable decision makers to assess their options under future climate scenarios at finer spatial scales.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Changement climatique / Nephropidae Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Animals Pays/Région comme sujet: America do norte Langue: En Journal: Ecol Appl Année: 2019 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Changement climatique / Nephropidae Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Animals Pays/Région comme sujet: America do norte Langue: En Journal: Ecol Appl Année: 2019 Type de document: Article Pays d'affiliation: États-Unis d'Amérique