Using Remotely-Sensed Data and Light-Level Geolocator Technology to Inform Off-Post Landscape-Scale Conservation Planning for a Migratory Species

Abstract

Identifying focus areas for multi-agency conservation efforts on landscapes that include Department of Defense facilities is essential to protect military readiness and maintain populations of threatened and endangered species. Achieving this goal requires that we know where species occur, when they move, and how their habitats might change over time. We lack this information for most migratory songbirds,many of which have experienced significant population declines over the past century and are often too small to track with devices that record their movements across broad spatial and temporal scales. We used miniaturized light-level geolocators to examine the migratory behavior of a small (~10 g) endangered songbird, the golden-cheeked warbler (Setophaga chrysoparia, hereafter warbler). We also used remotely sensed data to develop an updated winter habitat model for the warbler and to identify areas of highest risk of habitat conversion on the warblers breeding and wintering grounds. In addition, we created a web-based application that allows users to visualize our results and could help inform conservation planning during all stages of the species annual cycle.

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Document Details

Document Type
Technical Report
Publication Date
Jun 12, 2023
Accession Number
AD1229794

Entities

People

  • Ashley M. Long
  • Jane Kunberger
  • John Macey
  • Melanie Colon
  • Michael Gamble
  • Nathan Grigsby

Organizations

  • Louisiana State University

Tags

Fields of Study

  • Environmental science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Wetland-Land-Environmental Management.