التفاصيل البيبلوغرافية
| العنوان: |
Habitat and exposure modelling for ecological risk assessment: A case study for the raccoon on the Savannah River Site |
| المؤلفون: |
Michael E. Hodgson, Karen F. Gaines, T. Edwin Chow, Machelle D. Wilson |
| المصدر: |
Ecological Modelling. 189:151-167 |
| بيانات النشر: |
Elsevier BV, 2005. |
| سنة النشر: |
2005 |
| مصطلحات موضوعية: |
Risk analysis, geography, Geographic information system, Resource (biology), geography.geographical_feature_category, business.industry, Ecological Modeling, Savannah River Site, Environmental resource management, Wetland, Superfund, Habitat, Environmental protection, Environmental science, Ecosystem, business |
| الوصف: |
Contamination has a dramatic impact on the health of ecosystem and habitat suitability for the inhabited flora and fauna. The Environmental Protection Agency (EPA) mandates an ecological risk assessment (ERA) that evaluates the potential adverse impact of any anthropogenic activities on the ecosystem (US Environmental Protection Agency, 1997. Ecological Risk Assessment Guidance for Superfund: Process for Designing and Conducting Ecological Risk Assessment. EPA/630/R-021011, Washington, DC). This study provides a general framework and specific procedures to predict the contaminant exposure of midsized mammals using a geographical information system (GIS)-based Monte Carlo simulation model. The model was applied to the raccoons (Procyon lotor) on the Savannah River Site (SRS), a former nuclear production and current research facility. Habitat behavioral data of 13 radiocollared male raccoons were used to determine home range and core areas. Combined with other geographic data layers, such as distance to water, number of wetlands, and class landscape metrics, a logistic regression model was used to inductively derive the resource selection functions that define the occurrence of raccoon. The cross validation consistently revealed a high accuracy. A Monte Carlo simulation was then performed to estimate the likelihood of exposure and contaminant uptake of the species weighted by the resource selection probability. This model adopted conservative assumptions and spatial parameters. The proposed model served the purpose of assessing ecological risk and supporting decision-making. Implementation issues for a GIS-based ecological risk assessment model are discussed. © 2005 Elsevier B.V. All rights reserved. |
| تدمد: |
0304-3800 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_________::7b5b1cc2dbd2603d24bf211d6f54a921
https://doi.org/10.1016/j.ecolmodel.2005.04.001 |
| حقوق: |
CLOSED |
| رقم الأكسشن: |
edsair.doi...........7b5b1cc2dbd2603d24bf211d6f54a921 |
| قاعدة البيانات: |
OpenAIRE |
