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Related Experiment Videos

Aggregating high-priority landscape areas to the parcel level: an easement implementation tool.

Michael P Strager1, Randall S Rosenberger

  • 1Division of Resource Management, West Virginia University, 2006 Agricultural Science Building, Morgantown, WV 26506-6108, USA. mstrager@wvu.edu

Journal of Environmental Management
|April 4, 2006
PubMed
Summary

This study presents a parcel prioritization model to integrate landscape data for land use planning. It helps conservation organizations select land parcels effectively within budget constraints.

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Area of Science:

  • Environmental Planning
  • Conservation Science
  • Spatial Analysis

Background:

  • Land use planning faces challenges due to differing spatial scales of landscape and parcel data.
  • Implementing land use plans at the parcel level requires aggregating high-resolution landscape information.

Purpose of the Study:

  • To develop a method for aggregating landscape planning information to the parcel level.
  • To incorporate conservation goals into a parcel prioritization model using compromise programming.
  • To aid in land use implementation decisions, including budget-constrained parcel selection.

Main Methods:

  • Developed a parcel prioritization model incorporating a Land Trust's conservation goals.
  • Utilized compromise programming to handle multiple objectives.

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  • Demonstrated application for budget-constrained parcel selection and conservation budget estimation.
  • Main Results:

    • The parcel prioritization model effectively aggregates landscape data to the parcel level.
    • Budget constraints significantly influence the selection of optimal conservation parcels.
    • The model provides guidance for conservation implementation and budget planning.

    Conclusions:

    • The developed model facilitates the integration of landscape data for effective parcel-level land use planning.
    • Incorporating conservation goals and budget constraints improves the efficiency of land conservation efforts.
    • The approach proved integral to a local Land Trust's goal achievement.