A note on communicating environmental change for non-market valuation

Fu, Baihua; Dyer, Fiona; Kravchenko, Alexey; Dyack, Brenda; Merritt, Wendy; Scarpa, Raffaele

doi:10.1016/j.ecolind.2016.08.018

Cited by 5 publications

(3 citation statements)

References 32 publications

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“…fish population per unit area). Biases can be introduced by using a particular formulation of indicators without clarity in the context, which may hinder the appropriate use of scenarios (Fu et al, 2017).…”

Section: Selecting and Formulating Scenario Indicatorsmentioning

confidence: 99%

Scenario processes for socio-environmental systems analysis of futures: A review of recent efforts and a salient research agenda for supporting decision making

Elsawah

Hamilton

Jakeman

et al. 2020

Science of The Total Environment

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Section: Selecting and Formulating Scenario Indicatorsmentioning

confidence: 99%

Scenario processes for socio-environmental systems analysis of futures: A review of recent efforts and a salient research agenda for supporting decision making

Elsawah

Hamilton

Jakeman

et al. 2020

Science of The Total Environment

Self Cite

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“…Accordingly, several of our metrics include a direct or implied comparison with natural condition, such as the invasive species metric, and the garbage metric. Whether or not a comparison with a baseline is made is a critical decision, with important philosophical consequences: there are also numerous ways to actually calculate such a comparison, leading to potential for bias in how a metric is interpreted by the public [63]. Furthermore, it should be noted that there can be challenges in establishing a reference condition, e.g.…”

Section: Resultsmentioning

confidence: 99%

River metrics by the public, for the public

Weber

Ringold

2019

PLoS ONE

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Managing rivers in society’s best interest requires data on river condition. However, the complexity of river ecosystems, combined with finite budgets for river monitoring and modeling, mean difficult choices are necessary regarding what information will be available. Typically, decisions of "what to measure" are left to natural scientists. However, knowledge of public appetite for different types of information helps ensure river data is useful to society. We investigated public interest in rivers directly, engaging nearly one hundred urban and rural participants in a combination of focus groups and semi-structured interviews. Drawing on concepts of "final" ecosystem services developed in environmental economics, we moved discussions past commonly mentioned stressors, such as pollution, to actual river features important in and of themselves. Participant feedback reflected extensive thought on river issues, in contrast to a stereotype that the public is ambivalent about environmental conditions. Interests were also broad, encompassing water quality and quantity, fish and wildlife, vegetation, and human features. Results show consolidation around relatively few themes despite diverse sociodemographics. Themes were interpreted into distilled, specific metrics to make public feedback as useful as possible for water resources monitoring, modeling, and management. Our research provides detailed, methodically generated hypotheses regarding river themes and metrics of public interest that should be considered as part of the tradeoffs inherent in river monitoring design. Results compared reasonably well to river attributes emphasized in river restoration environmental valuation reviews, with some differences. Future research could test our hypotheses with large-sample surveys.

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“…In addition to scenario selection, the selection and formulation of indicators are also important in understanding the results of exploratory scenario analysis (Fu et al, 2017). In this case study, the indicators took the form of 10-year annual summaries (e.g.…”

Section: Limitations Of the Case Study And Future Workmentioning

confidence: 99%

A bricolage-style exploratory scenario analysis to manage uncertainty in socio-environmental systems modeling: investigating integrated water management options

Guillaume²,

Jakeman³

et al. 2020

SESMO

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Exploratory analysis, while useful in assessing the implications of model assumptions under large uncertainty, is considered at best a semi-structured activity. There is no algorithmic way for performing exploratory analysis and the existing canonical techniques have their own limitations. To overcome this, we advocate a bricolage-style exploratory scenario analysis, which can be crafted by pragmatically and strategically combining different methods and practices. Our argument is illustrated using a case study in integrated water management in the Murray-Darling Basin, Australia. Scenario ensembles are generated to investigate potential policy innovations, climate and crop market conditions, as well as the effects of uncertainties in model components and parameters. Visualizations, regression trees and marginal effect analyses are exploited to make sense of the ensemble of scenarios. The analysis includes identifying patterns within a scenario ensemble, by visualizing initial hypotheses that are informed by prior knowledge, as well as by visualizing new hypotheses based on identified influential variables. Context-specific relationships are explored by analyzing which values of drivers and management options influence outcomes. Synthesis is achieved by identifying context-specific solutions to consider as part of policy design. The process of analysis is cast as a process of finding patterns and formulating questions within the ensemble of scenarios that merit further examination, allowing end-users to make the decision as to what underlying assumptions should be accepted, and whether uncertainties have been sufficiently explored. This approach is especially advantageous when the precise intentions of management are still subject to deliberations. By describing the reasoning and steps behind a bricolage-style exploratory analysis, we hope to raise awareness of the value of sharing this kind of (common but not often documented) analysis process, and motivate further work to improve sharing of know-how about bricolage in practice.

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A note on communicating environmental change for non-market valuation

Cited by 5 publications

References 32 publications

Scenario processes for socio-environmental systems analysis of futures: A review of recent efforts and a salient research agenda for supporting decision making

Scenario processes for socio-environmental systems analysis of futures: A review of recent efforts and a salient research agenda for supporting decision making

River metrics by the public, for the public

A bricolage-style exploratory scenario analysis to manage uncertainty in socio-environmental systems modeling: investigating integrated water management options

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