4.2 Article

Spatio-temporal variation in marine fish traits reveals community-wide responses to environmental change

期刊

MARINE ECOLOGY PROGRESS SERIES
卷 610, 期 -, 页码 205-222

出版社

INTER-RESEARCH
DOI: 10.3354/meps12826

关键词

Marine fish; Traits; Spatio-temporal; Community-weighted mean; North Sea; Community composition; Climate change; Fishing

资金

  1. MARmaED project - European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [675997]
  2. VKR Centre for Ocean Life
  3. VILLUM research grant [13159]
  4. Cefas project [MF1228]
  5. Marie Curie Actions (MSCA) [675997] Funding Source: Marie Curie Actions (MSCA)
  6. Natural Environment Research Council [NE/R015953/1, SAH01001] Funding Source: researchfish
  7. NERC [SAH01001] Funding Source: UKRI

向作者/读者索取更多资源

Marine ecosystems are exposed to a range of environmental and anthropogenic stressors, including climate change and overexploitation. A promising way towards understanding the impacts of such stressors on community composition is by considering species traits rather than species identity. Here, we describe the spatio-temporal dynamics in fish community traits using >30 yr of species abundance data from the North Sea combined with trait information on body size, life history, growth rate, reproduction and trophic level for demersal fish species in the area. We assessed whether the derived patterns and trends in community-weighted mean traits could be explained by a range of environmental stressors and fishing. Our results revealed strong spatial structuring and long-term changes in the trait composition of North Sea fish, with temporal changes not being uniformly distributed in space. Among the environmental drivers investigated, depth was one of the best predictors, primarily explaining the spatial variation in lifespan, growth rate, trophic level and fecundity. This can be explained by variables that co-vary with depth, e.g. temperature, seasonality, salinity and productivity. Finally, we found only weak relationships between fishing and the spatial variation of traits, suggesting that the spatial trait composition of the community is mostly determined by the environment. Yet, long-term changes in trait composition, primarily in body size, have previously been shown to be affected by size-selective fishing. Our study exemplifies how traits can be used to summarize complex community dynamics and responses to environmental and anthropogenic stressors as well as their usefulness for ecosystem-based management.

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