Insights for developing effective decision support tools for environmental sustainability

被引:41
作者
Wong-Parodi, Gabrielle [1 ,2 ]
Mach, Katharine J. [3 ,4 ]
Jagannathan, Kripa [5 ,6 ]
Sjostrom, Kathryn Dana [7 ,8 ]
机构
[1] Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA
[2] Stanford Univ, Stanford Woods Inst Environm, Stanford, CA 94305 USA
[3] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA
[4] Univ Miami, Leonard & Jayne Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL 33124 USA
[5] Lawrence Berkeley Natl Lab, Earth & Environm Sci Area, Berkeley, CA USA
[6] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA
[7] Univ Memphis, Dept City & Reg Planning, Memphis, TN 38152 USA
[8] Memphis Shelby Cty Off Sustainabil & Resilience, Memphis, TN USA
基金
美国国家科学基金会;
关键词
CLIMATE; LESSONS; FUTURE; ADAPTATION; QUALITY; SYSTEMS; IMPACT; MODEL;
D O I
10.1016/j.cosust.2020.01.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Despite the increasing number of decision support tools (DSTs) intended to inform sustainability decision-making, recent evidence suggests they may not be reaching stakeholders who need them most and are of varying content and quality. One way to enhance theiruseandqualityistoevaluatetoolsduringtheirdevelopmentand deployment in order to improve DSTs and their relevance and usability within decision-making processes. Here we identify key characteristics of successful DSTs that enhance decision quality through a review of the literature, and then consider some ways that the ecosystem of decision support activities-coastal plan process and planning tool-used to develop Louisiana's Coastal Master Plan embody these characteristics. We conclude with thoughts on the transferability of effective DST ecosystems to other situations in the context of environmental decision-making, and we offer key considerations for DST developers to best support meaningful integration of relevant science into planning and policy realms.
引用
收藏
页码:52 / 59
页数:8
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