2015
DOI: 10.1016/j.ecolind.2015.04.003
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Human well-being differs by community type: Toward reference points in a human well-being indicator useful for decision support

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Cited by 31 publications
(36 citation statements)
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“…Similarly, Fulford et al [62] found that different community types could reflect different attitudes with regard to the relative importance of domains of well-being and the services that drive that well-being. There is an increasing understanding that decisions made by local communities can have significant impacts on community well-being and require a degree of understanding regarding local impact as well as cumulative impact across multiple communities [73][74][75][76].…”
Section: Differences In Well-being By Respondent or Community Typementioning
confidence: 99%
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“…Similarly, Fulford et al [62] found that different community types could reflect different attitudes with regard to the relative importance of domains of well-being and the services that drive that well-being. There is an increasing understanding that decisions made by local communities can have significant impacts on community well-being and require a degree of understanding regarding local impact as well as cumulative impact across multiple communities [73][74][75][76].…”
Section: Differences In Well-being By Respondent or Community Typementioning
confidence: 99%
“…Since the domains are relevant to characterizing Ecosystem Services and Global Ecology human well-being, regardless of time, space and culture [18], communities can easily "relate" to these well-being dimensions, making prioritization a fairly straight-forward exercise in developing relative importance values (RIVs) as weighting factors to customize HWBI. Applications of stakeholder RIVs utilized in a real community case studies are presented in Fulford et al [62]. The foundational research in the development of HWBI [11,25,63,64] has also been used to inform community-based landscape planning via the valuation ecosystem services [64].…”
Section: Characterizing Well-being In the Context Of Service Flowsmentioning
confidence: 99%
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