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Which forcing factors fit? Using ecosystem models to investigate the relative influence of fishing and changes in primary productivity on the dynamics of marine ecosystems
Authors:S Mackinson  G Daskalov  JJ Heymans  S Neira  H Arancibia  M Zetina-Rejón  H Jiang  HQ Cheng  M Coll  F Arreguin-Sanchez  K Keeble  L Shannon
Institution:1. Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory, Pakefield Road, Lowestoft, Suffolk NR33 0HT, United Kingdom;2. Scottish Association for Marine Science, Dunstaffnage Marine Laboratory, Dunbeg PA371QA, United Kingdom;3. Departamento de Oceanografía, Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción, Casilla 160-C Concepción, Chile;4. Interdisciplinary Center of Marine Sciences, National Polytechnic Institute, Av. IPN S/N Col. Playa Palo de Sta. Rita La Paz, BCS, AP 590, Mexico;5. State Key Laboratory of Estuarine & Coastal Research, East China Normal University, 3663 North Zhongshan Road, Shanghai 200062, China;6. Institute of Marine Science (ICM-CSIC), Passeig Marítim de la Barceloneta, 37-49, 08003 Barcelona, Spain;g Blue Lobster IT, The Old Post Office, Church Road, Kessingland, Lowestoft, Suffolk NR33 7SB, United Kingdom;h Marine and Coastal Management, Depatment of Environmental Affairs and Tourism, Private Bag X2, Rogge Bay 8012, South Africa;i Marine Biology Research Centre, Department of Zoology, University of Cape Town, Rondebosch, South Africa
Abstract:Fishing mortality and primary production (or proxy for) were used to drive the dynamics of fish assemblages in 9 trophodynamic models of contrasting marine ecosystems. Historical trends in abundance were reconstructed by fitting model predictions to observations from stock assessments and fisheries independent survey data. The model fitting exercise derives values for otherwise unknown parameters that specify the relative strength of trophic interactions and, in some instances, a time series anomaly for changes in primary production. We measured how much better or worse were model predictions when bottom-up forcing by primary production were added to top-down forcing by fishing. Searching for cross system patterns, the relative contribution of fishing and changes in primary production, mediated through trophic interactions, are evaluated for the ecosystems as a whole and for selected similar species in different ecosystems. The analysis provides a simple qualitative way to explain which forcing factors have most influence on modeled dynamics. Both fishing and primary production forcing were required to obtain the best model fits to data. Fishing effects more strongly influenced 6 of 9 of the ecosystems, but primary production was more often found to be the main factor influencing the selected pelagic and demersal fish stock trends. Examination of sensitivity to ecological and model parameters suggests that the results are the product of complex food-web interactions rather than simple deterministic responses of the models.
Keywords:Ecosystem model  Top-down  Bottom-up  Fishing impact  Trophic interaction  Environmental forcing  Ecopath with Ecosim  Climate effects
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