A decision framework for identifying models to estimate forest ecosystem services gains from restoration

作     者：Zachary L. Christin Kenneth J. Bagstad Michael A. Verdone 

作者机构：Earth Economics 107 N Tacoma Ave Tacoma WA 98403 USA. U.S. Geological Survey Geosciences & Environmental Change Science Center Box 25046 MS 980 Denver CO 80225 USA. International Union for the Conservation of Nature 1630 Connecticut Ave. NW #300 Washington DC 20009 USA. 

出 版 物：《Forest Ecosystems》 (森林生态系统（英文版）)

年 卷 期：2016年第3卷第2期

页      面：126-137页

核心收录：

学科分类：09[农学] 0903[农学-农业资源与环境] 

基　　金：we thank jared soares and paula wood of earth economics for research assistance and figure design  respectively. chetan kumar of iucn provided project oversight. funding for this work was provided by uk aid 

主　　题：Decision support Ecosystem services Forest restoration Modeling Valuation Comparative toolsassessment 

摘      要：Restoring degraded forests and agricultural lands has become a global conservation priority. A growing number of tools can quantify ecosystem service tradeoffs associated with forest restoration. This evolving ＂tools landscape＂ presents a dilemma： more tools are available, but selecting appropriate tools has become more challenging. We present a Restoration Ecosystem Service Tool Selector （RESTS） framework that describes key characteristics of 13 ecosystem service assessment tools. Analysts enter information about their decision context, services to be analyzed, and desired outputs. Tools are filtered and presented based on five evaluative criteria： scalability, cost, time requirements, handling of uncertainty, and applicability to benefit-cost analysis. RESTS uses a spreadsheet interface but a web-based interface is planned. Given the rapid evolution of ecosystem services science, RESTS provides an adaptable framework to guide forest restoration decision makers toward tools that can help quantify ecosystem services in support of restoration.