Mohave Ground Squirrel Conservation Council
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    • Home
    • DONATE NOW!
    • About Us
    • Join Us!
    • Meet the Board
    • Events
    • Ecosystems Advisory Com.
    • Long-Term Monitoring
    • Publications
    • MGS Workshop
    • Meeting Minutes
    • Gallery
    • Active RFP's
    • Career Opportunities
    • Contact Us
    • Bylaws
Mohave Ground Squirrel Conservation Council
  • Home
  • DONATE NOW!
  • About Us
  • Join Us!
  • Meet the Board
  • Events
  • Ecosystems Advisory Com.
  • Long-Term Monitoring
  • Publications
  • MGS Workshop
  • Meeting Minutes
  • Gallery
  • Active RFP's
  • Career Opportunities
  • Contact Us
  • Bylaws

Long-term monitoring project

In August 2023, the  Mohave Ground Squirrel Conservation Council  was awarded a grant from the  Wildlife Conservation Board (WCB)  for Long-Term MGS Population Monitoring for a 5-year period.

 

Grant Objectives

  1. Manage the project

  • Provide leadership for the overall program.
  • Administer the grant and grant reporting.
  • Manage contractors required for the program.

2. Monitor MGS Population and Habitat

  • Establish spatially explicit clustered survey grids of camera-traps.
  • Live-capture and temporarily mark a portion of MGS via fur-dying and/or fur-shaving patterns for individual identification in camera-trap photographs.
  • Permanently mark live-captured MGS with Passive Integrated Transponder (PIT) tags and attempt to passively detect PIT-tag-marked and released squirrels with a PIT tag reader array
  • Collect tissue samples from live-captured MGS for population genetics analyses.
  • Experiment with Unmanned Aerial Vehicle (UAV) to elicit and detect MGS vocalizations.
  • Collect high resolution vegetation data using UAV.
  • Collect high resolution vegetation data using traditional on-the-ground methods of vegetation quadrats and transects.
  • Design and implement Artificial Intelligence (AI) systems to increase the efficiency of photographic reduction into analyzable data.
  • Design and implement a data management plan for all forms of data, including photographs, genetic samples, and artificial individual identity marks.

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