Optimizing provision of ecosystem services using modern portfolio theory

被引:25
作者
Alvarez, Sergio [1 ,2 ]
Larkin, Sherry L. [3 ]
Ropicki, Andrew [4 ]
机构
[1] Florida Dept Agr & Consumer Serv, 407 S Calhoun St, Tallahassee, FL 32399 USA
[2] Univ Florida, 407 S Calhoun St, Tallahassee, FL 32399 USA
[3] Univ Florida, 1117 McCarty Hall B, Gainesville, FL 32611 USA
[4] Texas A&M Univ, 10345 State Hwy 44, Corpus Christi, TX 78406 USA
关键词
Optimization; Portfolio selection; Portfolio constraints; Natural resource management; Sustainability; Fisheries policy; MIXED FORESTS; BIODIVERSITY; RISK; DEFORESTATION; CONSERVATION; DIVERSIFICATION; UNCERTAINTY; ALLOCATION; COLLAPSE; DESIGN;
D O I
10.1016/j.ecoser.2017.07.016
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Portfolio selection is a flexible tool that can be used to support natural resource decision-making to optimize provision of ecosystem services. The natural resource portfolio literature includes applications in fisheries, forestry, agriculture, spatial planning, invasive pest and disease surveillance, climate change adaptation, and biodiversity conservation, among others. We contribute to this growing literature by proposing a set of essential questions to guide the development and implementation of empirical port folios for natural resource management that deal with (1) the nature and objectives of the portfolio manager, (2) the definition of assets to be included in the portfolio, (3) the way in which returns and risk are measured and distributed, and (4) the definition of constraints in the programming problem. The approach is illustrated using landings data from the Colombian Pacific, a data limited fishery, to set catch limits in fisheries at the ecosystem level. We also develop a set of constraints in the programming problem to simulate potential policy options regarding resource sustainability and social equity. The resulting efficient catch portfolios can be used to optimize the flow of provisioning ecosystem services from this fishery. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:25 / 37
页数:13
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