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Adapting Human Well-being Frameworks for Ecosystem Service Assessments across Diverse Landscapes

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dc.contributor.author Villamagna, Amy
dc.contributor.author Giesecke, Craig
dc.date.accessioned 2014-04-22T20:09:27Z
dc.date.available 2014-04-22T20:09:27Z
dc.date.issued 2014 en_US
dc.identifier.uri https://hdl.handle.net/10535/9332
dc.description.abstract "There is broad support for the notion that ecosystem services influence human well-being (HWB), however, the means to measure such an effect are elusive. Measures of HWB are commonly used within the fields of psychology, economics, and international development, but thus far have not been integrated fully into ecosystem service assessments. We examine the multidimensional nature of HWB and discuss the need for a robust framework that captures its complex relationship with ecosystem services. We review several well-known HWB indices and describe the adaptation of two frameworks--the Economist Intelligence Unit’s Quality of Life Index and the Sustainable Livelihoods Framework--to evaluate county-level HWB within the Albemarle-Pamlico Basin (Virginia and North Carolina, USA) using a stakeholder-engaged approach. We present maps of HWB that illustrate the results of both frameworks, discuss the feedback from stakeholders that guided indicator and data selection, and examine the observed differences in HWB throughout the basin. We conclude with suggestions for enhancing the role of ecosystem services in HWB indices." en_US
dc.language English en_US
dc.subject quality of life en_US
dc.subject ecosystems en_US
dc.title Adapting Human Well-being Frameworks for Ecosystem Service Assessments across Diverse Landscapes en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.type.methodology Theory en_US
dc.coverage.region North America en_US
dc.coverage.country United States en_US
dc.subject.sector General & Multiple Resources en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 19 en_US
dc.identifier.citationnumber 1 en_US
dc.identifier.citationmonth March en_US

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