Estimating Resistance and Resilience of Military Lands Using Vegetation Indices

Abstract

Military training inevitably leads to land degradation; however, some ecosystems have higher resistance and resilience to training based on the functional traits of existing vegetation, making them preferred for long-term use. This work estimated resistance and resilience for the continental United States using dominant plant species for numerous plant communities, resistance and resilience values for plant functional groups, and national community vegetation maps. Two datasets were combined to obtain greater detail and values for all land area. Results indicate that graminoid communities have the highest resistance values, and shrublands the lowest; and that eastern deciduous forests and prairies have the highest resilience values, and evergreen forests and shrublands the lowest. This lists the resistance and resilience values of a selection of Army installations using both datasets and a new combined metric. This new method will help the Army determine the portfolio of installations that will best meet its future training land requirements.

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Document Details

Document Type
Technical Report
Publication Date
May 17, 2017
Accession Number
AD1049213

Entities

People

  • Dick L. Gebhart
  • Ryan R. Busby
  • Steven J. Oxley
  • Wade A. Wall
  • William D. Tarantino

Organizations

  • Construction Engineering Research Laboratory

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Army Corps Of Engineers
  • Biological Sciences
  • Biology
  • Climate Change
  • Degradation
  • Department Of Defense
  • Digital Data
  • Digital Information
  • Earth Sciences
  • Ecology
  • Ecosystems
  • Engineering
  • Engineers
  • Environment
  • Environmental Protection
  • Eukaryota
  • Interdisciplinary Science
  • Mechanical Properties
  • Metadata
  • Military Training
  • Natural Resources
  • North America
  • Physical Properties
  • Planetary Sciences
  • Plants
  • Resilience
  • Resistance
  • Space Sciences
  • Training
  • United States
  • Vegetation

Fields of Study

  • Environmental science

Readers

  • Forest Ecology
  • Regression Analysis.
  • Wetland-Land-Environmental Management.