2016
DOI: 10.1007/s13280-016-0792-7
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Assessing the sustainability of freshwater systems: A critical review of composite indicators

Abstract: Quantitative indicators are a common means of assessing the complex dimensions of a sustainable freshwater system, and framing scientific knowledge for policy and decision makers. There is an abundance of indicators in use, but considerable variation in terms of what is being measured and how indicators are applied, making it difficult for end-users to identify suitable assessment methods. We review 95 water-related indices and analyze them along their normative, procedural, and systemic dimensions to better u… Show more

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Cited by 60 publications
(35 citation statements)
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“…Vulnerability indices can be understood as systematically documented and transparent hypothesis frameworks that can be based on empirical data and expert opinions (Blatt et al 2010). They can be applied as solution-oriented tools, evaluating scenarios and identifying trade-offs, rather than only assessing and monitoring existing conditions (Vollmer et al 2016). …”
Section: Operationalization Of Ecosystem Vulnerability Assessmentsmentioning
confidence: 99%
“…Vulnerability indices can be understood as systematically documented and transparent hypothesis frameworks that can be based on empirical data and expert opinions (Blatt et al 2010). They can be applied as solution-oriented tools, evaluating scenarios and identifying trade-offs, rather than only assessing and monitoring existing conditions (Vollmer et al 2016). …”
Section: Operationalization Of Ecosystem Vulnerability Assessmentsmentioning
confidence: 99%
“…Since the abundant number of indicators in the scientific literature have different intended use, end-users and geographic scale of application, it becomes difficult to identify suitable assessment methods. Notwithstanding, a lot of them are useful in evaluating scenarios and identifying trade-offs, rather than merely assessing and monitoring existing conditions [32].…”
Section: The Water Footprint and Economic Water Productivity Approachesmentioning
confidence: 99%
“…Because, multi-taxa hierarchical model structures tend to produce more reliable parameter estimates for taxa with sparse data (Link and Sauer 1996, Sauer and Link 2002, Zipkin et al 2010, Ovaskainen and Soininen 2011, it is likely that these patterns would have been missed with alternative analyses. Changes in community metrics that summarize multiple taxa, such as species richness, tend to be disproportionately determined by the most abundant taxa and often lack the detail necessary to inform management decisions (Vollmer et al 2016). Furthermore, analyses that model community summary metrics directly would have likely missed these patterns.…”
Section: Modeling Advantagesmentioning
confidence: 99%