Marine spatial planning makes room for offshore aquaculture in crowded coastal waters

被引:0
作者
S. E. Lester
J. M. Stevens
R. R. Gentry
C. V. Kappel
T. W. Bell
C. J. Costello
S. D. Gaines
D. A. Kiefer
C. C. Maue
J. E. Rensel
R. D. Simons
L. Washburn
C. White
机构
[1] Florida State University,Department of Geography
[2] California Polytechnic State University,Center for Coastal Marine Sciences, 1 Grand Avenue
[3] University of California Santa Barbara,Bren School of Environmental Science & Management, 2400 Bren Hall
[4] National Center for Ecological Analysis and Synthesis,Earth Research Institute, 5843 Ellison Hall
[5] University of California Santa Barbara,Department of Biological Sciences
[6] University of Southern California,School of Earth, Energy & Environmental Sciences
[7] Stanford University,undefined
[8] Rensel Associates Aquatic Sciences,undefined
[9] Marine Science Institute & Department of Geography,undefined
[10] University of California Santa Barbara,undefined
来源
Nature Communications | / 9卷
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摘要
Marine spatial planning (MSP) seeks to reduce conflicts and environmental impacts, and promote sustainable use of marine ecosystems. Existing MSP approaches have successfully determined how to achieve target levels of ocean area for particular uses while minimizing costs and impacts, but they do not provide a framework that derives analytical solutions in order to co-ordinate siting of multiple uses while balancing the effects of planning on each sector in the system. We develop such a framework for guiding offshore aquaculture (bivalve, finfish, and kelp farming) development in relation to existing sectors and environmental concerns (wild-capture fisheries, viewshed quality, benthic pollution, and disease spread) in California, USA. We identify > 250,000 MSP solutions that generate significant seafood supply and billions of dollars in revenue with minimal impacts (often < 1%) on existing sectors and the environment. We filter solutions to identify candidate locations for high-value, low-impact aquaculture development. Finally, we confirm the expectation of substantial value of our framework over conventional planning focused on maximizing individual objectives.
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