EDYS Experimental and Validation Results for Grassland Communities

Abstract

Precipitation patterns, including the effects of long-term droughts or above average precipitation and the interactions with nitrogen availability, often have enough influence on plant growth that the effects of our use or management of land are not apparent. This is especially true because of the need to judge changes in land condition over periods of months to years. One of the primary information requirements identified by Army land managers and trainers is the need to be able to project the impacts of training and management strategies on the amount of plant cover protecting the soil. Managers also need to know how long it takes a plant community to recover to the desired plant cover level after use. The purpose of this research project was to test the ability of the Ecological Dynamics Simulation (EDYS) model to accurately project plant dynamics given a wide range of precipitation patterns and nitrogen availability over a period of years to decades. The results of this research show that EDYS did accurately simulate changes in plant cover over the 2-year research period and the patterns EDYS projects over 40-year simulations closely match the patterns seen on the ground in 40-year old research plots.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2001
Accession Number
ADA396255

Entities

People

  • Cade Coldren
  • Davd L. Price
  • Terry Mclendon
  • W. M. Childress

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Analysis Of Variance
  • Animals
  • Availability
  • Databases
  • Engineering
  • Engineers
  • Environmental Protection
  • Groundwater
  • Plant Growth
  • Plants
  • Precipitation
  • Simulations
  • Surveys
  • Training
  • United States
  • Water Supplies

Fields of Study

  • Environmental science

Readers

  • Archaeological Resource Survey
  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation