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Spatial heterogeneity contributes more to portfolio effects than species variability in bottom-associated marine fishes.
Thorson, James T; Scheuerell, Mark D; Olden, Julian D; Schindler, Daniel E.
Affiliation
  • Thorson JT; Fisheries Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Boulevard East, Seattle, WA 98112, USA james.thorson@noaa.gov.
  • Scheuerell MD; Fish Ecology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Boulevard East, Seattle, WA 98112, USA.
  • Olden JD; School of Aquatic and Fishery Sciences, University of Washington, PO Box 355020, Seattle, WA 98195, USA.
  • Schindler DE; School of Aquatic and Fishery Sciences, University of Washington, PO Box 355020, Seattle, WA 98195, USA.
Proc Biol Sci ; 285(1888)2018 10 03.
Article in En | MEDLINE | ID: mdl-30282649
Variance of community abundance will be reduced relative to its theoretical maximum whenever population densities fluctuate asynchronously. Fishing communities and mobile predators can switch among fish species and/or fishing locations with asynchronous dynamics, thereby buffering against variable resource densities (termed 'portfolio effects', PEs). However, whether variation among species or locations represent the dominant contributor to PE remains relatively unexplored. Here, we apply a spatio-temporal model to multidecadal time series (1982-2015) for 20 bottom-associated fishes in seven marine ecosystems. For each ecosystem, we compute the reduction in variance over time in total biomass relative to its theoretical maximum if species and locations were perfectly correlated (total PE). We also compute the reduction in variance due to asynchrony among species at each location (species PE) or the reduction due to asynchrony among locations for each species (spatial PE). We specifically compute total, species and spatial PE in 10-year moving windows to detect changes over time. Our analyses revealed that spatial PE are stronger than species PE in six of seven ecosystems, and that ecosystems where species PE is constant over time can exhibit shifts in locations that strongly contribute to PE. We therefore recommend that spatial and total PE be monitored as ecosystem indicators representing risk exposure for human and natural consumers.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Biomass / Food Chain / Fishes Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Proc Biol Sci Journal subject: BIOLOGIA Year: 2018 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Biomass / Food Chain / Fishes Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Proc Biol Sci Journal subject: BIOLOGIA Year: 2018 Type: Article Affiliation country: United States