4.2 Article

Anticipatory practices: Shifting baselines and environmental imaginaries of ecological restoration in the Columbia River Basin

Journal

ENVIRONMENT AND PLANNING E-NATURE AND SPACE
Volume 3, Issue 1, Pages 40-57

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/2514848619857523

Keywords

Baseline; climate change; co-production; restoration; science studies

Funding

  1. National Science Foundation (NSF) Integrative Graduate Education and Research Traineeship (IGERT) [1249400]
  2. NSF through a Doctoral Dissertation Improvement Grant (SES STS) [1655884]
  3. United States Geological Survey (USGS) Northwest Climate Science Center

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Ecological restorationists working to restore species and habitats must make decisions about how to monitor the effectiveness of their actions. In order to do this, they must determine historical baselines for populations by measuring and monitoring reference habitat sites: analog ecological systems that act as controls for comparison. Yet as climate change alters what is possible in terms of habitat restoration, drawing baselines for recovery has become fraught with difficulty. This article examines the epistemic and legal practices of baseline-setting in the case of the Columbia River Basin as well as the ways that ecological restorationists are dealing with the shifting baselines of a climate-changed river. Restorationists do this by altering their epistemic practices, using trained judgment and establishing alternative, anticipatory baselines. While the field of restoration was born out of the idea that environmental repair was about looking to the past, the discipline has transformed to look forward and even to anticipate the future. One way that this is occurring is through re-thinking baselines to reflect emerging environmental and sociotechnical imaginaries, which are enacted through epistemic practice. Anticipatory practices such as baseline-setting help sensitize the field of restoration ecology to the future, while at the same time facilitating the emergence of ideas that will enable scientifically based decision-making to continue to occur within a high level of uncertainty.

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