Incorporating public priorities in the Ocean Health Index: Canada as a case study

被引:15
作者
Daigle, Remi M. [1 ,2 ,3 ,4 ]
Archambault, Philippe [1 ,4 ,5 ]
Halpern, Benjamin S. [2 ,6 ,7 ]
Lowndes, Julia S. Stewart [2 ]
Cote, Isabelle M. [3 ]
机构
[1] Univ Quebec Rimouski, Inst Sci Mer, Rimouski, PQ, Canada
[2] Univ Calif Santa Barbara, Natl Ctr Ecol Anal & Synth, Santa Barbara, CA 93106 USA
[3] Simon Fraser Univ, Dept Biol Sci, Burnaby, BC, Canada
[4] Univ Laval, Dept Biol, Quebec City, PQ, Canada
[5] Stanford Univ, Hopkins Marine Stn, Stanford, CA 94305 USA
[6] Imperial Coll London, Silwood Pk, Ascot, Berks, England
[7] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA USA
基金
加拿大自然科学与工程研究理事会;
关键词
ECOSYSTEM; INDICATORS; MANAGEMENT; BENEFITS;
D O I
10.1371/journal.pone.0178044
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Ocean Health Index (OHI) is a framework to assess ocean health by considering many benefits (called 'goals') provided by the ocean provides to humans, such as food provision, tourism opportunities, and coastal protection. The OHI framework can be used to assess marine areas at global or regional scales, but how various OHI goals should be weighted to reflect priorities at those scales remains unclear. In this study, we adapted the framework in two ways for application to Canada as a case study. First, we customized the OHI goals to create a national Canadian Ocean Health Index (COHI). In particular, we altered the list of iconic species assessed, added methane clathrates and subsea permafrost as carbon storage habitats, and developed a new goal, 'Aboriginal Needs', to measure access of Aboriginal people to traditional marine hunting and fishing grounds. Second, we evaluated various goal weighting schemes based on preferences elicited from the general public in online surveys. We quantified these public preferences in three ways: using Likert scores, simple ranks from a best-worst choice experiment, and model coefficients from the analysis of elicited choice experiment. The latter provided the clearest statistical discrimination among goals, and we recommend their use because they can more accurately reflect both public opinion and the trade-offs faced by policy-makers. This initial iteration of the COHI can be used as a baseline against which future COHI scores can be compared, and could potentially be used as a management tool to prioritise actions on a national scale and predict public support for these actions given that the goal weights are based on public priorities.
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页数:22
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