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Exploring Patterns of Seafood Provision Revealed in the Global Ocean Health Index

Identifieur interne : 000211 ( PascalFrancis/Corpus ); précédent : 000210; suivant : 000212

Exploring Patterns of Seafood Provision Revealed in the Global Ocean Health Index

Auteurs : Kristin M. Kleisner ; Catherine Longo ; Marta Coll ; Ben S. Halpern ; Darren Hardy ; Steven K. Katona ; Frédéric Le Manach ; Daniel Pauly ; Andrew A. Rosenberg ; Jameal F. Samhouri ; Courtney Scarborough ; U. Rashid Sumaila ; Reg Watson ; Dirk Zeller

Source :

RBID : Pascal:14-0260428

Descripteurs français

English descriptors

Abstract

Sustainable provision of seafood from wild-capture fisheries and mariculture is a fundamental component of healthy marine ecosystems and a major component of the Ocean Health Index. Here we critically review the food provision model of the Ocean Health Index, and explore the implications of knowledge gaps, scale of analysis, choice of reference points, measures of sustainability, and quality of input data. Global patterns for fisheries are positively related to human development and latitude, whereas patterns for mariculture are most closely associated with economic importance of seafood. Sensitivity analyses show that scores are robust to several model assumptions, but highly sensitive to choice of reference points and, for fisheries, extent of time series available to estimate landings. We show how results for sustainable seafood may be interpreted and used, and we evaluate which modifications show the greatest potential for improvements.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A09 01  1  ENG  @1 Adaptive Fisheries Management: From Theory to Practice
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A11 02  1    @1 LONGO (Catherine)
A11 03  1    @1 COLL (Marta)
A11 04  1    @1 HALPERN (Ben S.)
A11 05  1    @1 HARDY (Darren)
A11 06  1    @1 KATONA (Steven K.)
A11 07  1    @1 LE MANACH (Frédéric)
A11 08  1    @1 PAULY (Daniel)
A11 09  1    @1 ROSENBERG (Andrew A.)
A11 10  1    @1 SAMHOURI (Jameal F.)
A11 11  1    @1 SCARBOROUGH (Courtney)
A11 12  1    @1 SUMAILA (U. Rashid)
A11 13  1    @1 WATSON (Reg)
A11 14  1    @1 ZELLER (Dirk)
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A14 03      @1 Department of Marine Renewal Resources, Institute of Marine Science, Passeig Marítim de la Barceloneta, n° 37-49.08003 @2 Barcelona @3 ESP @Z 3 aut.
A14 04      @1 Bren School of Environmental Science and Management, University of California, 552 University Rd @2 Santa Barbara, CA 93106 @3 USA @Z 4 aut.
A14 05      @1 Digital Library Systems & Services, Stanford University Libraries @2 Stanford, CA 94305 @3 USA @Z 5 aut.
A14 06      @1 Conservation International, Betty and Gordon Moore Center for Science and Oceans, 2011 Crystal Drive, Suite 500 @2 Arlington, VA 22202 @3 USA @Z 6 aut.
A14 07      @1 Institut de Recherche pour le Développement, UMR212 Ecosystèmes Marins Exploités, Avenue Jean Monnet, BP 171 @2 Sète @3 FRA @Z 7 aut.
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A14 09      @1 IMAS, University of Tasmania, Private Bag 49 @2 Hobart, TAS 7001 @3 AUS @Z 13 aut.
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C01 01    ENG  @0 Sustainable provision of seafood from wild-capture fisheries and mariculture is a fundamental component of healthy marine ecosystems and a major component of the Ocean Health Index. Here we critically review the food provision model of the Ocean Health Index, and explore the implications of knowledge gaps, scale of analysis, choice of reference points, measures of sustainability, and quality of input data. Global patterns for fisheries are positively related to human development and latitude, whereas patterns for mariculture are most closely associated with economic importance of seafood. Sensitivity analyses show that scores are robust to several model assumptions, but highly sensitive to choice of reference points and, for fisheries, extent of time series available to estimate landings. We show how results for sustainable seafood may be interpreted and used, and we evaluate which modifications show the greatest potential for improvements.
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Format Inist (serveur)

NO : PASCAL 14-0260428 INIST
ET : Exploring Patterns of Seafood Provision Revealed in the Global Ocean Health Index
AU : KLEISNER (Kristin M.); LONGO (Catherine); COLL (Marta); HALPERN (Ben S.); HARDY (Darren); KATONA (Steven K.); LE MANACH (Frédéric); PAULY (Daniel); ROSENBERG (Andrew A.); SAMHOURI (Jameal F.); SCARBOROUGH (Courtney); SUMAILA (U. Rashid); WATSON (Reg); ZELLER (Dirk); VILLASANTE (Sebastián); MACHO (Gonzalo)
AF : Fisheries Centre, University of British Columbia, 2202 Main Mall/Vancouver, BC V6T 1Z4/Canada (1 aut., 8 aut., 12 aut., 14 aut.); National Center for Ecological Analysis and Synthesis (NCEAS), 735 State Street, Suite 300/Santa Barbara, CA 93101/Etats-Unis (2 aut., 11 aut.); Department of Marine Renewal Resources, Institute of Marine Science, Passeig Marítim de la Barceloneta, n° 37-49.08003/Barcelona/Espagne (3 aut.); Bren School of Environmental Science and Management, University of California, 552 University Rd/Santa Barbara, CA 93106/Etats-Unis (4 aut.); Digital Library Systems & Services, Stanford University Libraries/Stanford, CA 94305/Etats-Unis (5 aut.); Conservation International, Betty and Gordon Moore Center for Science and Oceans, 2011 Crystal Drive, Suite 500/Arlington, VA 22202/Etats-Unis (6 aut.); Institut de Recherche pour le Développement, UMR212 Ecosystèmes Marins Exploités, Avenue Jean Monnet, BP 171/Sète/France (7 aut.); Center for Science and Democracy, Union of Concerned Scientists, 2 Brattle Square/Cambridge, MA 02138/Etats-Unis (9 aut.); IMAS, University of Tasmania, Private Bag 49/Hobart, TAS 7001/Australie (13 aut.); Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Blvd E/Seattle, WA 98115/Etats-Unis (10 aut.)
DT : Publication en série; Niveau analytique
SO : Ambio; ISSN 0044-7447; Coden AMBOCX; Allemagne; Da. 2013; Vol. 42; No. 8; Pp. 910-922; Bibl. 1/2 p.
LA : Anglais
EA : Sustainable provision of seafood from wild-capture fisheries and mariculture is a fundamental component of healthy marine ecosystems and a major component of the Ocean Health Index. Here we critically review the food provision model of the Ocean Health Index, and explore the implications of knowledge gaps, scale of analysis, choice of reference points, measures of sustainability, and quality of input data. Global patterns for fisheries are positively related to human development and latitude, whereas patterns for mariculture are most closely associated with economic importance of seafood. Sensitivity analyses show that scores are robust to several model assumptions, but highly sensitive to choice of reference points and, for fisheries, extent of time series available to estimate landings. We show how results for sustainable seafood may be interpreted and used, and we evaluate which modifications show the greatest potential for improvements.
CC : 002A14B04E; 002A14D03; 002A36B01
FD : Produit pêche; Océan; Milieu marin; Qualité environnement; Etat sanitaire; Indicateur; Statut; Pêcherie; Aquiculture; FAO
ED : Seafood; Ocean; Marine environment; Environment quality; Health status; Indicator; Status; Fishery; Aquaculture; FAO
SD : Producto pesca; Océano; Medio marino; Calidad medio ambiente; Estado sanitario; Indicador; Estatuto; Pesquería; Acuicultura; FAO (Organización para la Alimentación y la Agricultura)
LO : INIST-15800.354000507423610010
ID : 14-0260428

Links to Exploration step

Pascal:14-0260428

Le document en format XML

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<ET>Exploring Patterns of Seafood Provision Revealed in the Global Ocean Health Index</ET>
<AU>KLEISNER (Kristin M.); LONGO (Catherine); COLL (Marta); HALPERN (Ben S.); HARDY (Darren); KATONA (Steven K.); LE MANACH (Frédéric); PAULY (Daniel); ROSENBERG (Andrew A.); SAMHOURI (Jameal F.); SCARBOROUGH (Courtney); SUMAILA (U. Rashid); WATSON (Reg); ZELLER (Dirk); VILLASANTE (Sebastián); MACHO (Gonzalo)</AU>
<AF>Fisheries Centre, University of British Columbia, 2202 Main Mall/Vancouver, BC V6T 1Z4/Canada (1 aut., 8 aut., 12 aut., 14 aut.); National Center for Ecological Analysis and Synthesis (NCEAS), 735 State Street, Suite 300/Santa Barbara, CA 93101/Etats-Unis (2 aut., 11 aut.); Department of Marine Renewal Resources, Institute of Marine Science, Passeig Marítim de la Barceloneta, n° 37-49.08003/Barcelona/Espagne (3 aut.); Bren School of Environmental Science and Management, University of California, 552 University Rd/Santa Barbara, CA 93106/Etats-Unis (4 aut.); Digital Library Systems & Services, Stanford University Libraries/Stanford, CA 94305/Etats-Unis (5 aut.); Conservation International, Betty and Gordon Moore Center for Science and Oceans, 2011 Crystal Drive, Suite 500/Arlington, VA 22202/Etats-Unis (6 aut.); Institut de Recherche pour le Développement, UMR212 Ecosystèmes Marins Exploités, Avenue Jean Monnet, BP 171/Sète/France (7 aut.); Center for Science and Democracy, Union of Concerned Scientists, 2 Brattle Square/Cambridge, MA 02138/Etats-Unis (9 aut.); IMAS, University of Tasmania, Private Bag 49/Hobart, TAS 7001/Australie (13 aut.); Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Blvd E/Seattle, WA 98115/Etats-Unis (10 aut.)</AF>
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<EA>Sustainable provision of seafood from wild-capture fisheries and mariculture is a fundamental component of healthy marine ecosystems and a major component of the Ocean Health Index. Here we critically review the food provision model of the Ocean Health Index, and explore the implications of knowledge gaps, scale of analysis, choice of reference points, measures of sustainability, and quality of input data. Global patterns for fisheries are positively related to human development and latitude, whereas patterns for mariculture are most closely associated with economic importance of seafood. Sensitivity analyses show that scores are robust to several model assumptions, but highly sensitive to choice of reference points and, for fisheries, extent of time series available to estimate landings. We show how results for sustainable seafood may be interpreted and used, and we evaluate which modifications show the greatest potential for improvements.</EA>
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