Food for thought: pretty good multispecies yield
Author(s) -
Anna Rindorf,
Catherine M. Dichmont,
Phillip S. Levin,
Pamela M. Mace,
Sean Pascoe,
Raúl Prellezo,
André E. Punt,
David G. Reid,
Robert L. Stephenson,
Clara Ulrich,
Morten Vinther,
Lotte Worsøe Clausen
Publication year - 2016
Publication title -
ices journal of marine science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.348
H-Index - 117
eISSN - 1095-9289
pISSN - 1054-3139
DOI - 10.1093/icesjms/fsw071
Subject(s) - maximum sustainable yield , fishing , stock (firearms) , livelihood , yield (engineering) , fisheries management , sustainability , ecosystem , sustainable yield , environmental resource management , ecosystem based management , fishery , natural resource economics , environmental economics , environmental science , business , economics , ecology , geography , agriculture , biology , materials science , archaeology , metallurgy
MSY principles for marine fisheries management reflect a focus on obtaining continued high catches to provide food and livelihoods for humanity, while not compromising ecosystems. However, maintaining healthy stocks to provide the maximum sustainable yield on a single-species basis does not ensure that broader ecosystem, economic, and social objectives are addressed. We investigate how the principles of a “pretty good yield” range of fishing mortalities assumed to provide >95% of the average yield for a single stock can be expanded to a pretty good multispecies yield (PGMY) space and further to pretty good multidimensional yield to accommodate situations where the yield from a stock affects the ecosystem, economic and social benefits, or sustainability. We demonstrate in a European example that PGMY is a practical concept. As PGMY provides a safe operating space for management that adheres to the principles of MSY, it allows the consideration of other aspects to be included in operational management advice in both data-rich and data-limited situations. PGMY furthermore provides a way to integrate advice across stocks, avoiding clearly infeasible management combinations, and thereby hopefully increasing confidence in scientific advice.
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