The fishery performance indicators: A management tool for triple bottom line outcomes
Anderson, James L.; Anderson, Christopher M.; Chu, Jingjie; Meredith, Jennifer; Asche, Frank; Sylvia, Gil; Smith, Martin D.; Anggraeni, Dessy; Arthur, Robert; Guttormsen, Atle; McCluney, Jessica K.; Ward, Tim; Akpalu, Wisdom; Eggert, Håkan; Flores, Jimely; Freeman, Matthew A.; Holland, Daniel S.; Knapp, Gunnar; Kobayashi, Mimako; Larkin, Sherry; MacLauchlin, Kari; Schnier, Kurt; Soboil, Mark; Tveterås, Sigbjørn; Uchida, Hirotsugu; Valderrama, Diego
Journal article, Peer reviewed
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http://hdl.handle.net/11250/2365034Utgivelsesdato
2015-05Metadata
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Originalversjon
Anderson JL, Anderson CM, Chu J, Meredith J, Asche F, Sylvia G, et al. (2015) The Fishery Performance Indicators: A Management Tool for Triple Bottom Line Outcomes. PLoS ONE 10(5): e0122809. doi:10.1371/journal.pone.012280 10.1371/journal.pone.0122809Sammendrag
Pursuit of the triple bottom line of economic, community and ecological sustainability has in-
creased the complexity of fishery management; fisheries assessments require new types of
data and analysis to guide science-based policy in addition to traditional biological informa-
tion and modeling. We introduce the Fishery Performance Indicators (FPIs), a broadly applicable and flexible tool for assessing performance in individual fisheries, and for estab-
lishing 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 facili-
tate application to data poor fisheries and sectors
—
that can be partitioned into sector-
based or triple-bottom-line sustainability-based interpretative indicators. Variation among
outcomes is explained with 54 similarly structured metrics of inputs, management ap-
proaches 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.
Beskrivelse
The article was originally published in PLoS One; DOI:10.1371/journal.pone.0122809 under a creative commons licence.