Journal
DIVERSITY AND DISTRIBUTIONS
Volume 28, Issue 12, Pages 2503-2520Publisher
WILEY
DOI: 10.1111/ddi.13580
Keywords
arcto-boreal ecosystem; Barents Sea; fish-benthos communities; fishing pressure; functional diversity patterns; marine food web; spatial turnover
Categories
Funding
- arktis 2030 [QZA-15/0137]
- Norges Forskningsrad [288192]
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This study assesses the spatial and temporal turnover of bentho-demersal marine fauna in the Barents Sea, by integrating ecological metrics at the community and food web levels. The results suggest that different pressures, such as sea ice loss and fisheries, act on the bentho-demersal fauna, and the variation in community and food web metrics is influenced by environmental gradients and fishing pressure. The study highlights the importance of integrating community and food web analysis in ecological studies to better understand ecosystem patterns and drivers.
Aim Assess the spatial and temporal turnover of bentho-demersal marine fauna by integrating ecological metrics at the community and food web levels and evaluate their main environmental and anthropogenic drivers. Location Barents Sea. Method We analysed data of benthic and bentho-pelagic fish and megabenthic invertebrates caught in the Barents Sea ecosystem survey in August-September 2009-2017 to characterize the spatial and temporal variability of bentho-demersal communities and food webs. We used a trait dataset and highly resolved bentho-demersal food web to calculate community and food web metrics in space and time. We spatially clustered the community and food web based on their properties using archetypal analysis and investigated their co-variation with environmental and fishing pressure using (hierarchical) redundancy analysis. Result The community and food web metrics partitioned the Barents Sea into four sub-regions where different pressures act on the bentho-demersal fauna, such as sea ice loss and fisheries. Multiple community metrics (e.g. mean body length and trophic level) varied along an environmental gradient of annual mean sea bottom temperature, trawling intensity and ice-cover, whereas multiple food web metrics (e.g. nestedness and connectance) varied along an environmental gradient of depth and sediment composition. Communities had higher biomass-weighted variability in body size and omnivory values in areas where the Atlantic and Arctic water masses mix. Several food web and community metrics co-varied (e.g. food chain length and mean trophic level). We found no clear temporal trends in the ecological metrics in any of the four sub-regions, but the metrics had large inter-annual variability with some local minima or maxima coinciding with high sea temperature and ice-cover anomalies. Conclusion Analyses at the community and food web level are seldom integrated in ecological studies, while this integration gives complementary information to assess patterns and drivers of ecosystem state and to better prioritize conservation efforts.
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