Integrated Spatio-Temporal Ecological Modeling System

Abstract

Land management has always been a multidisciplinary effort that relies on the integration of discipline specific simulation models. These models have traditionally been conceptual. Each model has been based on formal training, education, and experience with the landscape. Recently, many of the academic disciplines associated with land management have been capturing their conceptual models in formal computer models and simulations. Once formalized, such models may be more thoroughly studied, analyzed, and improved. Science requires that the number of simultaneously changing variables in a model be held to a minimum so those that are allowed to change can be more thoroughly understood. while this allows a scientist to better understand a neatly defined aspect of nature, the resulting models are less than desired for the purposes of land management. Land management requires that intelligent decisions be based on projecting the state of the landscape under different management options, thus taking into account all salient aspects of the landscape. This document argues for the design and development of management oriented simulation models, that generically integrate a number of different domain specific models.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1998
Accession Number
ADA349729

Entities

People

  • James D. Westervelt

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Civil Engineering
  • Computer Programming
  • Computer Programs
  • Computers
  • Engineers
  • Environment
  • Environmental Protection
  • Geographic Information Systems
  • Graphical User Interface
  • Habitats
  • Information Systems
  • Operating Systems
  • Programming Languages
  • Simulations
  • Training
  • User Interface

Readers

  • Computational Modeling and Simulation
  • Software Engineering.
  • Strategic Security Studies