Using an Atlantis model of the southern Benguela to explore the response of ecosystem indicators for fisheries management |
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| Affiliation: | 1. Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL, 33149, USA;2. Southeast Fisheries Science Center, Sustainable Fisheries Division, 75 Virginia Beach Drive, Miami, FL, 33149-1099, USA;3. Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, 100 8th Ave SE, St. Petersburg, FL 33701, USA;4. University of South Florida, College of Marine Science, 140 7th Avenue South, St. Petersburg, FL 33701, USA;5. Center for Coastal Studies Natural Resources Center, Texas A&M University-Corpus Christi, 6300 Ocean Dr., Corpus Christi, TX 78412, USA;6. Institut de Recherche pour le Développement, UMR EME 212, Centre de Recherche Halieutique Méditerranéenne et Tropicale, Avenue Jean Monnet, CS 30171, 34203 Sète cedex, France;7. University of Cape Town, Marine Research Institute Ma-Re, Department of Biological Sciences, Private Bag X3, Rondebosch, Cape Town 7701, South Africa;8. Instituto del Mar del Perú (IMARPE), Gamarra y General Valle s/n Chucuito, Callao, Peru |
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| Abstract: | Atlantis is a whole-of-system modelling framework developed for Management Strategy Evaluation. This paper describes an Atlantis model that was built to simulate the southern Benguela ecosystem and its major associated fisheries to assist fisheries management in the region. We divided the region into spatial zones based on hydrodynamics, current fishing management, and important ecosystem processes. We divided the biological components of the system into functional groups based on trophic interaction, life history traits and fisheries management objectives. We evaluated the model against historical data and known ecosystem interactions (such as competition and predation), and found that it simulates important ecological processes well at multiple trophic levels. We tested the model under fishing pressure scenarios and evaluated the performance of common ecosystem-level indicators. The response of the modelled system (as shown by indicators) was in line with expected behaviour of the indicators, reinforcing our confidence in the usefulness of the model. |
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| Keywords: | Ecosystem modelling Atlantis Southern Benguela Ecosystem indicators Ecosystem-based fisheries management |
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