Visualization, Identification and Scaling of Complex Ecotoxicological Dynamics at Varying Physical and Temporal Scales.

Abstract

We have developed and confirmed experimentally the Community Conditioning Hypothesis. The hypothesis states that impacts to ecological structures are persistent, the variables containing information change over time, and ecological systems are irreversible. We confirmed persistence of effects in experiments ranging from 90 to 180 days for 3-L microcosms to 240 days tor an outdoor mesocosm. Even wide differences in seasonal conditions or microclimate variation did not hide effects on larger systems. We conducted two types of experiments where microcosms were exposed to multiple stresses: (1) JP-8 stress was followed by heat shock and (2) two exposures 80 days apart to JP-8. For JP-8/heat, the initial stressor pattern was dominant with only minor changes in trajectory attributable to heat shock. For JP-8/JP-8, the second doing was dominant Thus. impacts due to multiple-stressor events can vary widely depending on timing and stress type. To aid analysts of effects at the community level, we developed a software package called MuSCLE that includes multivariate data analysis, pattern recognition, and visualization tools. We translated our results to the landscape level using metapopulation dynamic models. We found that impacts upon one patch can have dramatic effects upon other patches that are not contaminated.

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Document Details

Document Type
Technical Report
Publication Date
Dec 10, 1997
Accession Number
ADA336623

Entities

People

  • Geoffrey B. Matthews
  • Robin A. Matthews
  • Wayne G. Landis

Organizations

  • Western Washington University

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Computational Science
  • Computer Programming
  • Cyanobacteria
  • Data Analysis
  • Data Science
  • Databases
  • Ecotoxicology
  • Habitats
  • Information Science
  • Network Science
  • Statistical Analysis
  • Surveys

Fields of Study

  • Environmental science

Readers

  • Database Systems and Applications
  • Exercise and Sports Science.
  • Theoretical Analysis.

Technology Areas

  • AI & ML