Using Forecasting Methods to Incorporate Social, Economic, and Political Considerations Into Marine Protected Area Planning
fmars-08-669135 August 11, 2021 Time: 12:47 # 1 ORIGINAL RESEARCH published: 13 August 2021 doi: 10.3389/fmars.2021.669135 Using Forecasting Methods to Incorporate Social, Economic, and Political Considerations Into Marine Protected Area Planning Seth T. Sykora-Bodie1*, Jorge G. Álvarez-Romero2, Javier A. Arata3, Alistair Dunn4, Jefferson T. Hinke5, Grant Humphries6, Christopher Jones5, Pål Skogrand7, Katharina Teschke8,9, Philip N. Trathan10, Dirk Welsford11, Natalie C. Ban12, Grant Murray1 and David A. Gill1 1 Division of Marine Science and Conservation, Nicholas School of the Environment, Duke University, Beaufort, NC, United States, 2 Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, Australia, 3 Association of Responsible Krill Harvesting Companies (ARK), Toronto, ON, Canada, 4 Ocean Environmental Ltd., Wellington, New Zealand, 5 Antarctic Ecosystem Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, La Jolla, CA, United States, 6 Black Bawks Data Science Ltd., Invergarry, United Kingdom, 7 Aker BioMarine, Oslo, Norway, 8 Alfred-Wegener-Institut, 9 Edited by: Helmholtz-Zentrum für Polar und Meeresforschung, Bremerhaven, Germany, Helmholtz Institute for Functional Marine 10 Holly J. Niner, Biodiversity at the University Oldenburg (HIFMB), Oldenburg, Germany, British Antarctic Survey, Cambridge, 11 University of Plymouth, United Kingdom, Australian Antarctic Division, Department of Agriculture, Water and the Environment, Kingston, TAS, 12 United Kingdom Australia, School of Environmental Studies, University of Victoria, Victoria, BC, Canada Reviewed by: Marissa F. McBride, As the global environmental crisis grows in scale and complexity, conservation Harvard University, United States professionals and policymakers are increasingly called upon to make decisions despite Danielle Smith, University of Tasmania, Australia high levels of uncertainty, limited resources, and insufficient data.
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