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Climate change affects the distribution of diversity across marine food webs.
Thompson, Murray S A; Couce, Elena; Schratzberger, Michaela; Lynam, Christopher P.
Afiliación
  • Thompson MSA; Centre for Environment, Fisheries and Aquaculture Science (Cefas), Lowestoft Laboratory, Lowestoft, UK.
  • Couce E; Centre for Environment, Fisheries and Aquaculture Science (Cefas), Lowestoft Laboratory, Lowestoft, UK.
  • Schratzberger M; Centre for Environment, Fisheries and Aquaculture Science (Cefas), Lowestoft Laboratory, Lowestoft, UK.
  • Lynam CP; Centre for Environment, Fisheries and Aquaculture Science (Cefas), Lowestoft Laboratory, Lowestoft, UK.
Glob Chang Biol ; 29(23): 6606-6619, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37814904
ABSTRACT
Many studies predict shifts in species distributions and community size composition in response to climate change, yet few have demonstrated how these changes will be distributed across marine food webs. We use Bayesian Additive Regression Trees to model how climate change will affect the habitat suitability of marine fish species across a range of body sizes and belonging to different feeding guilds, each with different habitat and feeding requirements in the northeast Atlantic shelf seas. Contrasting effects of climate change are predicted for feeding guilds, with spatially extensive decreases in the species richness of consumers lower in the food web (planktivores) but increases for those higher up (piscivores). Changing spatial patterns in predator-prey mass ratios and fish species size composition are also predicted for feeding guilds and across the fish assemblage. In combination, these changes could influence nutrient uptake and transformation, transfer efficiency and food web stability, and thus profoundly alter ecosystem structure and functioning.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Cadena Alimentaria Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Glob Chang Biol Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Cadena Alimentaria Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Glob Chang Biol Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido