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Social Network Analysis Identifies Key Participants in Conservation Development.

Cooper M Farr1, Sarah E Reed2,3, Liba Pejchar2

  • 1Department of Fish, Wildlife and Conservation Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, 80523, USA. cooperfarr@gmail.com.

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Summary

Understanding private land conservation networks, like conservation development (CD), can improve biodiversity protection. Identifying key actors and network patterns helps encourage widespread adoption of best practices for conservation development.

Keywords:
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Area of Science:

  • Conservation science
  • Social network analysis
  • Land-use planning

Background:

  • Private lands conservation is crucial for biodiversity loss mitigation.
  • Conservation development (CD) is a voluntary private land conservation strategy.
  • Understanding participation patterns can enhance conservation effectiveness.

Purpose of the Study:

  • To examine participation patterns in conservation development (CD) using social network analysis (SNA).
  • To compare CD participation networks across six Colorado counties.
  • To identify key actors involved in implementing CDs.

Main Methods:

  • Social network analysis (SNA) was applied to public records from six Colorado counties.
  • Network density and centralization were calculated for CD participation.
  • Key actors were identified based on network connections.

Main Results:

  • Social network characteristics, including density, varied significantly among counties.
  • Network density was higher in less populated counties with fewer CDs.
  • Biological and geological consultants, surveyors, and engineers were the most highly connected actors.

Conclusions:

  • SNA provides a novel approach to analyzing land-use planning networks.
  • Network patterns can guide outreach and information dissemination for conservation development.
  • Engaging highly connected actors is recommended to promote best practices in CD.