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Integrating fuzzy logic, optimization, and GIS for ecological impact assessments
Luis A Bojórquez-Tapia1, Lourdes Juárez, Gustavo Cruz-Bello
1School of Renewable Natural Resources, Biological Science East, Room 207, University of Arizona, Tucson, AZ 85721 USA.
Environmental Management
|July 31, 2002
Summary
This study introduces a new environmental impact assessment (EIA) approach using fuzzy logic, GIS, and optimization. It addresses challenges in predicting ecological impacts and resolving stakeholder conflicts for better decision-making.
Area of Science:
- Ecology
- Environmental Science
- Computer Science
Background:
- Ecological impact appraisal is complex due to system behavior and human intervention.
- Traditional methods struggle with spatial heterogeneity, data limitations, and stakeholder value judgments.
- Current environmental impact assessments (EIAs) face uncertainty and poor conceptual understanding.
Purpose of the Study:
- To present an integrated environmental impact assessment (EIA) approach.
- To address imprecision and ambiguity in ecological system descriptions and impact predictions.
- To facilitate consensus in impact mitigation through conflict resolution.
Main Methods:
- Integration of fuzzy logic, geographical information systems (GIS), and optimization techniques.
- Development of a framework to handle subjective and conflicting expert/stakeholder judgments.
- Application illustrated via a case study for consensus building.
Main Results:
- The proposed approach effectively handles imprecise and ambiguous information in EIAs.
- It allows for more accurate predictions of ecological impacts on populations, communities, and ecosystems.
- Demonstrates consensus attainment in impact mitigation within a conflict resolution framework.
Conclusions:
- The integrated approach offers a robust method for environmental impact assessment (EIA).
- It improves the handling of uncertainty and subjectivity inherent in ecological evaluations.
- Facilitates informed decision-making and conflict resolution among stakeholders.