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The Decision-Identification Tree: A New NEPA Scoping Tool.

Eccleston1

  • 1Waste Management Federal Services of Hanford, Inc., P.O. Box 1970, M/SIN H6-26, Richland, Washington 99352, USA

Environmental Management
|August 24, 2000
PubMed
Summary

Environmental impact statements (EIS) benefit from decision-based scoping. This method uses a decision-identification tree (DIT) to align analysis with potential decisions, improving planning effectiveness.

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Area of Science:

  • Environmental Science and Policy
  • Environmental Impact Assessment
  • Decision Analysis

Background:

  • Current environmental impact statement (EIS) scoping methodologies lack universal acceptance.
  • Traditional scoping often identifies actions and facilities first, then impacts, leading to potential disconnects.
  • Discrepancies arise when EIS analysis inadequately supports final decision-making.

Purpose of the Study:

  • To introduce and evaluate decision-based scoping as an improved methodology for EIS analysis.
  • To present the decision-identification tree (DIT) as a tool for enhancing the scoping process.
  • To reduce disconnects between EIS analysis and decision-making.

Main Methods:

  • Proposed a novel approach: decision-based scoping.
  • Introduced the decision-identification tree (DIT) to map alternative actions based on decision points.
  • Emphasized identifying potential decisions early in the planning process.

Main Results:

  • Decision-based scoping, using the DIT, allows for more accurate assessment of actions, alternatives, and impacts.
  • This approach enhances the effectiveness of EIS planning.
  • Reduces the risk of misalignment between EIS findings and final decisions.

Conclusions:

  • Decision-based scoping offers a superior methodology for improving the environmental impact statement process.
  • The DIT is an effective tool for aligning analysis with decision-making needs.
  • The approach has broader applications in other planning disciplines.

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