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Trade-offs and the importance of separating science and values in environmental flow assessment
Hatfield and Paul (2015) note the potential for hidden value trade-offs in desktop models used for establishing environmental flows, which highlights the need to separate the contributions of science vs. values when developing flow regulations. This is best achieved with regulatory frameworks that clarify underlying values and objectives, identify any trade-offs that may be entertained between instream and out-of-stream uses, and provide clear guidance on the ecological and socio-economic contexts where different trade-offs and corresponding regulations may be implemented. Accurate flow-ecological response relationships are key to credible assessment of trade-offs or protection of instream values; when quantitative relationships are unavailable, model predictions and performance are highly sensitive to the assumed shape of the flow-ecology relationship. For example, by assuming that habitat capacity asymptotes at 20% of mean annual discharge, Hatfield and Paul (2015) implicitly discount the ecological value of higher base flows. Although cross-calibration of desktop models has value, performance of models for predicting environmental flows is best evaluated against independent measures of biological response to varying discharge (e.g. observed flow effects on fish biomass, production or other ecological attributes).
Trade-offs and the importance of separating science and values in environmental flow assessment
Hatfield and Paul (2015) note the potential for hidden value trade-offs in desktop models used for establishing environmental flows, which highlights the need to separate the contributions of science vs. values when developing flow regulations. This is best achieved with regulatory frameworks that clarify underlying values and objectives, identify any trade-offs that may be entertained between instream and out-of-stream uses, and provide clear guidance on the ecological and socio-economic contexts where different trade-offs and corresponding regulations may be implemented. Accurate flow-ecological response relationships are key to credible assessment of trade-offs or protection of instream values; when quantitative relationships are unavailable, model predictions and performance are highly sensitive to the assumed shape of the flow-ecology relationship. For example, by assuming that habitat capacity asymptotes at 20% of mean annual discharge, Hatfield and Paul (2015) implicitly discount the ecological value of higher base flows. Although cross-calibration of desktop models has value, performance of models for predicting environmental flows is best evaluated against independent measures of biological response to varying discharge (e.g. observed flow effects on fish biomass, production or other ecological attributes).
Trade-offs and the importance of separating science and values in environmental flow assessment
Rosenfeld, Jordan S (Autor:in) / Ptolemy, Ronald
2017
Aufsatz (Zeitschrift)
Englisch
Lokalklassifikation TIB:
385/6615
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