Quantifying human well-being for sustainability research and policy

作     者：Wu Yang Madeleine C.McKinnon Will R.Turner 

作者机构：Betty and Gordon Moore Center for Science and OceansConservation International2011 Crystal Drive Suite 500ArlingtonVirginia 22202 USA 

出 版 物：《Ecosystem Health and Sustainability》 (生态系统健康与可持续性（英文）)

年 卷 期：2015年第1卷第4期

页      面：53-66页

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：funding from the Gordon and Betty Moore Foundation(grant number 3519) 

主　　题：Cambodia composite index poverty alleviation structural equation modeling sustainable development vulnerability and resilience 

摘      要：To address human dependence on natural resources and anthropogenic impacts on ecosystem health,understanding and management of the linkages between nature and human well-being(HWB)are urgently *** fundamental barrier is the lack of quantitative indicators and models that integrate HWB with direct and indirect drivers of change in natural *** primary surveys provide the most valid HWB measures,extensive new data collection is often costly,especially for large-scale ***,it is vital to develop methods and indices based on existing data(e.g.,census data,survey data)for real-world *** address this,we propose a new method of using structural equation modeling to construct robust,spatially explicit HWB indices from existing data and demonstrate its validity and usefulness in *** method is scale-free and applicable to different frameworks and data sources and thus supports relatively easy replication in many other *** application and refinement could improve understanding of human-nature interactions,move toward robust theory development,and guide natural resource management decisions.