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Related Experiment Videos

A General Framework for Prioritizing Land Units for Ecological Protection and Restoration.

Hyman1, Leibowitz

  • 1Dynamac Corp. Environmental Services, US EPA NHEERL, 200 SW 35th Street, Corvallis, Oregon 97333 USA

Environmental Management
|November 7, 1999
PubMed
Summary

This study introduces a new framework for prioritizing conservation sites to maximize ecological benefits with limited resources. The models provide a repeatable method for site selection and benefit estimation.

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ENVIRONMENTAL AUDITING: A Synoptic Approach for Assessing CumulativeImpacts to Wetlands

Environmental management·1997

Area of Science:

  • Conservation Science
  • Ecological Restoration
  • Environmental Management

Background:

  • Existing methods for prioritizing conservation sites lack a unified framework, hindering explicit and repeatable assessments.
  • Current approaches often fail to highlight assumptions or easily compare different prioritization strategies.
  • Limited resources necessitate efficient methods for selecting sites that yield the greatest ecological benefit.

Purpose of the Study:

  • To develop a common, explicit, and repeatable framework for prioritizing sites for protection and restoration.
  • To provide generalizable models for maximizing ecological benefits given resource constraints.
  • To establish a standardized approach for assessing and comparing conservation prioritization efforts.

Main Methods:

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  • Development of simple, generalizable models to project ecological benefit per unit of effort (protection or restoration).
  • Formulation of models based on the functional relationship between an endpoint and effort.
  • Procedures for estimating model parameters using regression analysis or expert judgment indicators.

    • Main Results:

    • The proposed models offer a common language for conservation prioritization across diverse situations.
    • The framework allows for the estimation of total projected benefits for selected sets of sites.
    • Case studies demonstrate the application of the models to real-world prioritization scenarios.

    Conclusions:

    • The developed framework enhances the explicitness, repeatability, and comparability of conservation prioritization.
    • The models provide a robust tool for maximizing ecological returns on investment in protection and restoration.
    • This approach facilitates more informed decision-making in environmental management and resource allocation.