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PLoS ONEVolume 10, Issue 5, 6 May 2015, Article number e0122809

The fishery performance indicators: A management tool for triple bottom line outcomes(Article)(Open Access)

  • Anderson, J.L.,
  • Anderson, C.M.,
  • Chu, J.,
  • Meredith, J.,
  • Asche, F.,
  • Sylvia, G.,
  • Smith, M.D.,
  • Anggraeni, D.,
  • Arthur, R.,
  • Guttormsen, A.,
  • McCluney, J.K.,
  • Ward, T.,
  • Akpalu, W.,
  • Eggert, H.,
  • Flores, J.,
  • Freeman, M.A.,
  • Holland, D.S.,
  • Knapp, G.,
  • Kobayashi, M.,
  • Larkin, S.,
  • MacLauchlin, K.,
  • Schnier, K.,
  • Soboil, M.,
  • Tveteras, S.,
  • Uchida, H.,
  • Valderrama, D.
  Save all to author list
  • aInstitute for Global Food Systems, University of Florida, PO Box 110240, Gainesville, FL 32611, United States
  • bSchool of Aquatic and Fishery Sciences, University of Washington, Box 355020, Seattle, WA 355020, United States
  • cWorld Bank, 1818 H Street NW, Washington, DC, United States
  • dDepartment of Economics, University of Washington, Box 353330, Seattle, WA 98195, United States
  • eDepartment of Industrial Economics, University of Stavanger, Stavanger, 4036, Norway
  • fMarine Resource Economics, Oregon State University, Hatfield Marine Science Center, 2030 Marine Science Drive, Newport, OR 97365, United States
  • gNicholas School of the Environment, Duke University, Box 90328, Durham, NC 27708, United States
  • hSustainable Fisheries Partnership, JL. Palem Putri IX/NO. 1, Taman Yasmin V, Bogor, 16112, Indonesia
  • iMRAG Ltd., 18 Queen Street, London, W1J 5PN, United Kingdom
  • jDepartment of Economics and Resource Management, Norwegian University of Life Sciences, Aas, 1432, Norway
  • kSouth Australian Research and Development Institute (SARDI) - Aquatic Sciences, PO Box 120, Henley Beach, SA 5022, Australia
  • lUnited Nations University-World Institute for Development Economics Research, C/O Institute of Statistical, Social and Economic Research (ISSER), University of Ghana, P.O BOX LG 74, Legon, Ghana
  • mDepartment of Economics, University of Gothenburg, Gothenburg, Sweden
  • nSustainable Fisheries Partnership, Block1, #5 El Rio Vista Phase 5, Davao City, 8000, Philippines
  • oDepartment of Agricultural Economics, Mississippi State University, PO Box 5187, Mississippi State, MS 39762, United States
  • pConservation Biology Division, Northwest Fisheries Science Centre, National Oceanic and Atmospheric Administration, 2725 Montlake Blvd, Seattle, WA 98112, United States
  • qInstitute of Social and Economic Research, University of Alaska Anchorage, 3211 Providence Drive, Anchorage, AK 99508, United States
  • rEnvironment and Natural Resource Management, The World Bank, 1818 H St. NW, Washington, DC 20433, United States
  • sDepartment of Food and Resource Economics, University of Florida, PO Box 110240, Gainesville, FL 32611, United States
  • tSouth Atlantic Fishery Management Council, 4055 Faber Place Dr., Suite 201, North Charleston, SC 29405, United States
  • uSchool of Social Sciences, Humanities and Arts, University of California Merced, 5200 North Lake Road, Merced, CA 95343, United States
  • vMarine Economic Development, Level 1 83-85 Victoria Rd, Devonport, Aukland, 0624, New Zealand
  • wUniversity of Stavanger, Stavanger, 4036, Norway
  • xDepartment of Environmental and Natural Resource Economics, University of Rhode Island, 205 Kingston Coastal Institute, One Greenhouse Road, Kingston, RI 02881, United States

Abstract

Pursuit of the triple bottom line of economic, community and ecological sustainability has increased the complexity of fishery management; fisheries assessments require new types of data and analysis to guide science-based policy in addition to traditional biological information and modeling.We introduce the Fishery Performance Indicators (FPIs), a broadly applicable and flexible tool for assessing performance in individual fisheries, and for establishing cross-sectional links between enabling conditions, management strategies and triple bottom line outcomes. Conceptually separating measures of performance, the FPIs use 68 individual outcome metrics-coded on a 1 to 5 scale based on expert assessment to facilitate application to data poor fisheries and sectors-that can be partitioned into sectorbased or triple-bottom-line sustainability-based interpretative indicators. Variation among outcomes is explained with 54 similarly structured metrics of inputs, management approaches and enabling conditions. Using 61 initial fishery case studies drawn from industrial and developing countries around the world, we demonstrate the inferential importance of tracking economic and community outcomes, in addition to resource status. © 2015, Public Library of Science. All rights reserved.

Indexed keywords

EMTREE medical terms:Articleecologyeconomic aspectenvironmental aspects and related phenomenaenvironmental factorenvironmental sanitationenvironmental sustainabilityexogenous environmental factorfish stockfisheryfishery managementFishery Performance Indicatorgeneral environmental performanceharvest sector performancehuman rightspost harvest sector performancetriple bottom lineeconomicsfisherystandardstotal quality management
MeSH:FisheriesTotal Quality Management

Funding details

Funding sponsor Funding number Acronym
World Bank Group
See opportunities by WBG		WBG

  • 1

    Robert Arthur works for a for-profit firm, MRAG, Ltd. His participation in the project was supported by already-disclosed financial sources (he conducted a case study and participated in a workshop funded by The World Bank PROFISH group). This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.

  • ISSN: 19326203
  • CODEN: POLNC
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1371/journal.pone.0122809
  • PubMed ID: 25946194
  • Document Type: Article
  • Publisher: Public Library of Science


© Copyright 2015 Elsevier B.V., All rights reserved.

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