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Article: Moving Toward a Strategy for Addressing Climate Displacement of Marine Resources: A Proof-of-Concept

TitleMoving Toward a Strategy for Addressing Climate Displacement of Marine Resources: A Proof-of-Concept
Authors
Keywordsclimate-informed management
Dynamic Energy Budget model
Engraulis encrasicolus
life-history traits
scenarios
Issue Date2020
PublisherFrontiers Research Foundation. The Journal's web site is located at http://www.frontiersin.org/Marine_Science
Citation
Frontiers in Marine Science, 2020, v. 7, p. article no. 408 How to Cite?
AbstractRealistic predictions of climate change effects on natural resources are central to adaptation policies that try to reduce these impacts. However, most current forecasting approaches do not incorporate species-specific, process-based biological information, which limits their ability to inform actionable strategies. Mechanistic approaches, incorporating quantitative information on functional traits, can potentially predict species- and population-specific responses that result from the cumulative impacts of small-scale processes acting at the organismal level, and can be used to infer population-level dynamics and inform natural resources management. Here we present a proof-of-concept study using the European anchovy as a model species that shows how a trait-based, mechanistic species distribution model can be used to explore the vulnerability of marine species to environmental changes, producing quantitative outputs useful for informing fisheries management. We crossed scenarios of temperature and food to generate quantitative maps of selected mechanistic model outcomes (e.g., Maximum Length and Total Reproductive Output). These results highlight changing patterns of source and sink spawning areas as well as the incidence of reproductive failure. This study demonstrates that model predictions based on functional traits can reduce the degree of uncertainty when forecasting future trends of fish stocks. However, to be effective they must be based on high spatial- and temporal resolution environmental data. Such a sensitive and spatially explicit predictive approach may be used to inform more effective adaptive management strategies of resources in novel climatic conditions.
Persistent Identifierhttp://hdl.handle.net/10722/289937
ISSN
2023 Impact Factor: 2.8
2023 SCImago Journal Rankings: 0.907
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMangano, MC-
dc.contributor.authorMieszkowska, N-
dc.contributor.authorHelmuth, B-
dc.contributor.authorDomingos, T-
dc.contributor.authorSousa, T-
dc.contributor.authorBaiamonte, G-
dc.contributor.authorBazan, G-
dc.contributor.authorCuttitta, A-
dc.contributor.authorFiorentino, F-
dc.contributor.authorGiacoletti, A-
dc.contributor.authorJohnson, M-
dc.contributor.authorLucido, GD-
dc.contributor.authorMarcelli, M-
dc.contributor.authorMartellucci, R-
dc.contributor.authorMirto, S-
dc.contributor.authorPatti, B-
dc.contributor.authorPranovi, F-
dc.contributor.authorWilliams, GA-
dc.contributor.authorSara, G-
dc.date.accessioned2020-10-22T08:19:36Z-
dc.date.available2020-10-22T08:19:36Z-
dc.date.issued2020-
dc.identifier.citationFrontiers in Marine Science, 2020, v. 7, p. article no. 408-
dc.identifier.issn2296-7745-
dc.identifier.urihttp://hdl.handle.net/10722/289937-
dc.description.abstractRealistic predictions of climate change effects on natural resources are central to adaptation policies that try to reduce these impacts. However, most current forecasting approaches do not incorporate species-specific, process-based biological information, which limits their ability to inform actionable strategies. Mechanistic approaches, incorporating quantitative information on functional traits, can potentially predict species- and population-specific responses that result from the cumulative impacts of small-scale processes acting at the organismal level, and can be used to infer population-level dynamics and inform natural resources management. Here we present a proof-of-concept study using the European anchovy as a model species that shows how a trait-based, mechanistic species distribution model can be used to explore the vulnerability of marine species to environmental changes, producing quantitative outputs useful for informing fisheries management. We crossed scenarios of temperature and food to generate quantitative maps of selected mechanistic model outcomes (e.g., Maximum Length and Total Reproductive Output). These results highlight changing patterns of source and sink spawning areas as well as the incidence of reproductive failure. This study demonstrates that model predictions based on functional traits can reduce the degree of uncertainty when forecasting future trends of fish stocks. However, to be effective they must be based on high spatial- and temporal resolution environmental data. Such a sensitive and spatially explicit predictive approach may be used to inform more effective adaptive management strategies of resources in novel climatic conditions.-
dc.languageeng-
dc.publisherFrontiers Research Foundation. The Journal's web site is located at http://www.frontiersin.org/Marine_Science-
dc.relation.ispartofFrontiers in Marine Science-
dc.rightsThis Document is Protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectclimate-informed management-
dc.subjectDynamic Energy Budget model-
dc.subjectEngraulis encrasicolus-
dc.subjectlife-history traits-
dc.subjectscenarios-
dc.titleMoving Toward a Strategy for Addressing Climate Displacement of Marine Resources: A Proof-of-Concept-
dc.typeArticle-
dc.identifier.emailWilliams, GA: hrsbwga@hkucc.hku.hk-
dc.identifier.authorityWilliams, GA=rp00804-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3389/fmars.2020.00408-
dc.identifier.scopuseid_2-s2.0-85088428752-
dc.identifier.hkuros316327-
dc.identifier.volume7-
dc.identifier.spagearticle no. 408-
dc.identifier.epagearticle no. 408-
dc.identifier.isiWOS:000548183600001-
dc.publisher.placeSwitzerland-
dc.identifier.issnl2296-7745-

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