Existing Geospatial Knowledge of Gopher Tortoise Population and Abundance

Abstract

A number of key Army installations in the southeastern United States support numerous at-risk species. Many of these species have the potential to cause severe training restrictions in the future. To avoid the loss of training capacity, a proactive strategy for species conservation across the range must be developed. The gopher tortoise (Gopherus polyphemus) may be the most prominent and most widely distributed of these at-risk species in the Southeast. In the case of the tortoise, a proactive strategy will require a basic understanding of its current abundance and distribution, better understanding of its habitat requirements, development of population viability analysis methods, agreement among regulators and land managers on population goals, and methods to efficiently monitor gopher tortoise populations over time with regard to the established population goals. Data on the gopher tortoise were collected from academic, national, state, and local sources. All data were captured in tabular or GIS vector and raster formats. Data received at the Construction Engineering Research Laboratory were entered into spatial data layers as appropriate, and appended with quality-checked metadata to describe the dataset. This dataset will be available on CD or DVD for distribution to the public.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2007
Accession Number
ADA473829

Entities

People

  • Harold E. Balbach
  • Jason T. Berner
  • William D. Meyer

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Coordinate Systems
  • Data Sets
  • Digital Data
  • Ecology
  • Endangered Species
  • Engineering
  • Geographic Information Systems
  • Geographic Regions
  • Habitats
  • Metadata
  • Natural Resources
  • South Carolina
  • Training
  • United States
  • Wildlife
  • Wildlife Management
  • World Geodetic System

Fields of Study

  • Environmental science

Readers

  • Database Systems and Applications
  • Systems Analysis and Design
  • Wetland-Land-Environmental Management.