PaperYear: | 2019 |
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Author(s): | I.A. Catalán, D. Auch, P. Kamermans, B. Morales-Nin, N.V. Angelopoulos, P. Reglero, T. Sandersfeld, M.A. Peck |
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Title: | Critically examining the knowledge base required to mechanistically project climate impacts: A case study of Europe's fish and shellfish |
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Journal: | FISH AND FISHERIES |
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ISSN: | 1467-2960 |
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JCR Impact Factor: | 6.785 |
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Volume: | 2019 |
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Issue No.: | 20 |
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Pages: | 501-5017 |
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D.O.I.: | 10.1111/faf.12359 |
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Web: | https://onlinelibrary.wiley.com/doi/abs/10.1111/faf.12359 |
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Abstract: | An amalgam of empirical data from laboratory and field studies is needed
to build robust, theoretical models of climate impacts that can provide
science‐based advice for sustainable management of fish and shellfish
resources. Using a semi‐systematic literature review, Gap Analysis and
multilevel meta‐analysis, we assessed the status of empirical knowledge
on the direct effects of climate change on 37 high‐value species
targeted by European fisheries and aquaculture sectors operating in
marine and freshwater regions. Knowledge on potential climate
change‐related drivers (single or combined) on several responses (vital
rates) across four categories (exploitation sector, region, life stage,
species), was considerably unbalanced as well as biased, including a low
number of studies (a) examining the interaction of abiotic factors, (b)
offering opportunities to assess local adaptation, (c) targeting
lower‐value species. The meta‐analysis revealed that projected warming
would increase mean growth rates in fish and mollusks and significantly
elevate metabolic rates in fish. Decreased levels of dissolved oxygen
depressed rates of growth and metabolism across coherent species groups
(e.g., small pelagics, etc.) while expected declines in pH reduced
growth in most species groups and increased mortality in bivalves. The
meta‐analytical results were influenced by the study design and
moderators (e.g., life stage, season). Although meta‐analytic tools have
become increasingly popular, when performed on the limited available
data, these analyses cannot grasp relevant population effects, even in
species with a long history of study. We recommend actions to overcome
these shortcomings and improve mechanistic (cause‐and‐effect)
projections of climate impacts on fish and shellfish. |
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Related staffIgnacio A. Catalán AlemanyBeatriz Morales NinRelated departmentsMarine EcologyRelated projectsCERES CTA 057
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