Dynamic ocean management increases the efficiency and efficacy of fisheries management

DOI Web Site 1 Citations
  • Daniel C. Dunn
    Marine Geospatial Ecology Lab, Nicholas School of the Environment, Duke University, Durham, NC 27708;
  • Sara M. Maxwell
    Department of Biological Sciences, Old Dominion University, Norfolk, VA 23529
  • Andre M. Boustany
    Marine Geospatial Ecology Lab, Nicholas School of the Environment, Duke University, Durham, NC 27708;
  • Patrick N. Halpin
    Marine Geospatial Ecology Lab, Nicholas School of the Environment, Duke University, Durham, NC 27708;

Bibliographic Information

Published
2016-01-04
DOI
  • 10.1073/pnas.1513626113
Publisher
Proceedings of the National Academy of Sciences

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<jats:title>Significance</jats:title><jats:p>Food security and the economic well-being of millions of people depend on sustainable fisheries, which require innovative approaches to management that can balance ecological, economic, and social objectives. We offer empirical evidence that dynamic ocean management, or real-time ocean management, can increase the efficacy and efficiency of fisheries management over static approaches by better aligning human and ecological scales of use. Furthermore, we show that dynamic management can address critical ecological patterns previously considered to be largely intractable in fisheries management (e.g., competition, niche partitioning, predation, parasitism, or social aggregations) at appropriate scales. The evidence and theory offered supports the use of dynamic ocean management in a range of scenarios to improve the ecological, economic, and social sustainability of fisheries.</jats:p>

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