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Eco-Epidemiological Analysis for Screening-Level Ecological Risk Assessment: A Geographic Information Systems Approach

Kapo, Katherine E.
http://rave.ohiolink.edu/etdc/view?acc_num=wright1246903901

Abstract Details

2009, Doctor of Philosophy (PhD), Wright State University, Environmental Sciences PhD.
The identification and prioritization of multiple watershed stressors and the corresponding development of optimal management strategies remains a challenge in ecological risk assessment. Eco-epidemiological analysis of archival environmental spatial databases integrates available biological, physical and chemical information to generate hypotheses based on stressor-response data relationships. A geographic information systems-based technique incorporating Bayesian weights-of-evidence analysis and weighted logistic regression (WOE/WLR) developed for and currently utilized in minerals exploration was extrapolated to the eco-epidemiological analysis of aquatic ecosystem data. Case studies within state of Ohio (USA) and England and Wales were conducted to demonstrate a method proof-of-concept in the context of various concepts relevant ecological risk assessment such as biological endpoint selection, geographic scale, land use characterization, and temporal variability. Analysis results were communicated as quantitative estimates of stressor influence and impairment probability maps with significant model fit to observed data. Stressor identification, influence and estimated impairment probability varied across levels of biological organization, study area extent, land use intensity, and seasonal conditions. WOE/WLR results yielded quantitative evidence for the importance of consideration of environmental complexity in ecological risk assessment, and were consistent with both biological plausibility and examples from the literature. Validation of WOE/WLR stressor hypotheses was additionally evaluated by cross-comparison to an independent eco-epidemiological database method and to various field-based assessments. A methodological framework for the development and application of WOE/WLR for eco-epidemiological research is proposed to enhance screening-level (Tier 1) ecological risk assessment.
G. Allen Burton, PhD (Advisor)
Songlin Cheng, PhD (Committee Member)
Dick de Zwart, PhD (Committee Member)
David Dominic, PhD (Committee Member)
Scott Dyer, PhD (Committee Member)
Daniel Johnson, PhD (Committee Member)
Leo Posthuma, PhD (Committee Member)
325 p.
Environmental Science
watershed risk assessment; eco-epidemiology; multiple stressors

Recommended Citations

Citations

  • Kapo, K. E. (2009). Eco-Epidemiological Analysis for Screening-Level Ecological Risk Assessment: A Geographic Information Systems Approach [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1246903901

    APA Style (7th edition)

  • Kapo, Katherine. Eco-Epidemiological Analysis for Screening-Level Ecological Risk Assessment: A Geographic Information Systems Approach. 2009. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1246903901.

    MLA Style (8th edition)

  • Kapo, Katherine. "Eco-Epidemiological Analysis for Screening-Level Ecological Risk Assessment: A Geographic Information Systems Approach." Doctoral dissertation, Wright State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=wright1246903901

    Chicago Manual of Style (17th edition)

wright1246903901
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© 2009, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.