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Multivariate analysis of the ecoregion delineation for aquatic systems
G Darrel Jenerette1, Jay Lee, David W Waller
1Department of Biology, Arizona State University, Tempe, Arizona 85287, USA. jenerette@asu.edu
Environmental Management
|December 12, 2001
Summary
Ecoregion boundaries do not effectively differentiate lake water quality, with only 35% accuracy compared to 98% for clustered groups. This suggests current ecoregion classifications oversimplify ecosystem distribution. Further research into ecoregion delineations and management strategies is needed.
Area of Science:
- Environmental Science
- Ecology
- Water Quality Assessment
Background:
- Ecoregions are widely used to understand environmental spatial distribution.
- The effectiveness of ecoregion boundaries in reflecting actual environmental patterns, such as water quality, remains insufficiently demonstrated.
- Existing ecoregion classifications may not adequately capture the complexity of ecosystem distribution.
Purpose of the Study:
- To test the hypothesis that ecoregion classification can discriminate between lakes of varying water quality.
- To compare the effectiveness of ecoregion classification against alternative spatial classifications (political boundaries, land-use, random grouping) and a data-driven clustering approach.
- To evaluate the efficacy of ecoregions in predicting lake water quality in the northeastern United States.
Main Methods:
- Utilized lake water chemistry data from the Environmental Monitoring and Assessment Program (EMAP) in the northeastern United States.
- Applied principal component analysis to reduce water chemistry data into four key components.
- Employed K-means cluster analysis for optimal lake grouping and jackknifed discriminant analysis for classification accuracy assessment.
Main Results:
- Ecoregion classification achieved only 35% accuracy in discriminating lake water quality.
- K-means cluster analysis demonstrated a significantly higher accuracy of 98% for segregating lakes into distinct classes.
- The study found that ecoregion boundaries were less effective than data-driven clustering for water quality differentiation.
Conclusions:
- Current ecoregion boundaries may oversimplify the complex spatial distribution of ecosystem types.
- Ecoregion classifications require further testing and refinement to accurately represent environmental variations like water quality.
- Alternative large-scale management strategies beyond traditional ecoregions may be necessary for effective environmental management.