Ongoing public debate about the role of science in policy making signifies the importance of advancing theory and practice in the field. Indeed, assumptions about the science–policy nexus hold direct implications for how this interface is managed. A useful lens on contemporary themes is offered by the experience of a federal environmental science program that launched an ambitious effort to enhance capacity for policy relevance while protecting a commitment to sound, impartial scientific inquiry. This was achieved by developing an explicit conceptual model and implementing corresponding strategies that addressed critical gaps in capacity for policy‐relevant research, analysis, and communication while supporting existing capacities. This article describes and evaluates the capacity‐building effort from the dual perspectives of deepening an understanding of successful practice in the field and advancing a conceptual understanding of the science–policy nexus. It illustrates the challenges facing practitioners and the need for greater interaction between theory and practice.
Natural resource planning at all scales demands methods for assessing the impacts of resource development and use, and in particular it requires standardized methods that yield robust and unbiased results. Building from existing probabilistic methods for assessing the volumes of energy and mineral resources, we provide an algorithm for consistent, reproducible, quantitative assessment of resource development impacts. The approach combines probabilistic input data with Monte Carlo statistical methods to determine probabilistic outputs that convey the uncertainties inherent in the data. For example, one can utilize our algorithm to combine data from a natural gas resource assessment with maps of sage grouse leks and piñ on-juniper woodlands in the same area to estimate possible future habitat impacts due to possible future gas development. As another example: one could combine geochemical data and maps of lynx habitat with data from a mineral deposit assessment in the same area to determine possible future mining impacts on water resources and lynx habitat. The approach can be applied to a broad range of positive and negative resource development impacts, such as water quantity or quality, economic benefits, or air quality, limited only by the availability of necessary input data and quantified relationships among geologic resources, development alternatives, and impacts. The framework enables quantitative evaluation of the trade-offs inherent in resource management decision-making, including cumulative impacts, to address societal concerns and policy aspects of resource development.
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