SCIENTIFIC BASIS FOR ECOTOXICOLOGY, ECOLOGICAL RISK ASSESSMENT AND MULTIPLE STRESSORS: CANADIAN EXPERIENCE IN DEFINING ACCEPTABLE RISK LEVELS FOR INFRASTRUCTURE

2006 ◽  
pp. 107-123
Author(s):  
Ruth N. HULL
Keyword(s):  
Risk Assessment ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Multiple Stressors ◽  
Scientific Basis ◽  
Acceptable Risk ◽  
Risk Levels ◽  
Canadian Experience

scholarly journals Data-Poor Ecological Risk Assessment of Multiple Stressors

2021 ◽  
Author(s):  
Richard E Grewelle ◽  
Elizabeth Mansfield ◽  
Fiorenza Micheli ◽  
Giulio A De Leo
Keyword(s):  
Risk Assessment ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Web Application ◽  
Multiple Stressors ◽  
Freshwater Ecosystems ◽  
Valuable Insight ◽  
Software Module ◽  
Cumulative Impact ◽  
Comparative Results

Ecological Risk Assessment is a formal process widely applied to terrestrial, marine, and freshwater ecosystems to evaluate the likelihood of adverse ecological effects occurring as a result of exposure to natural or anthropogenic stressors. For many species, data is sparse and semi-quantitative methodologies provide valuable insight for ecosystem management. Recent statistical developments have improved the quality of these analyses yet a rigorous theoretical framework to assess the cumulative impact of multiple stressors is lacking. We present EcoRAMS, a web application and open-source software module that provides easy-to-use, statistically-robust ecological risk assessments of multiple stressors in data-poor contexts. The software receives attribute scores for two variables (e.g. exposure-sensitivity, productivity-susceptibility, severity-likelihood) via CSV templates and outputs results according to a probabilistic metric of risk. We demonstrate comparative results across a range of assumptions, using simulated and empirical datasets including up to five stressors. Accounting for multiple stressors even when data is limited provides a more detailed analysis of risk that may otherwise be understated in single stressor analyses. This application will allow quantification of risk across data-poor contexts for which statistical results have been previously unavailable. The web app format of EcoRAMS.net lowers the barrier of use for practitioners and scientists at any level of statistical training.

scholarly journals Probabilistic Ecological Risk Assessment of OCPs, PCBs, and DLCs in the Haihe River, China

2010 ◽  
Vol 10 ◽  
pp. 1307-1317 ◽  
Author(s):  
Bin Wang ◽  
Gang Yu ◽  
Jun Huang ◽  
Tai Wang ◽  
Hongying Hu
Keyword(s):  
Risk Assessment ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Hazard Quotient ◽  
Joint Probability ◽  
Total Risk ◽  
Haihe River ◽  
Distribution Method ◽  
Probability Curve ◽  
Risk Levels

The Haihe River is the most seriously polluted river among the seven largest rivers in China. Dichloro-diphenyl-trichloroethanes (DDTs), hexachlorocyclohexanes (HCHs), and PCBs (noncoplanar polychlorinated biphenyls) in the Haihe River, Tianjin were determined using a gas chromatograph – electron capture detector (GC-ECD). Dioxin-like compounds (DLCs) were determined using Chemically Activated LUciferase gene eXpression (CALUX) bioassay. HCH and DDT levels were, respectively, 0.06–6.07 μg/L and ND (not detected) to 1.21 μg/L; PCB levels ranged from 0.12 to 5.29 μg/L; and the total DLCs in sediment were 4.78–343 pg TEQ (toxic equivalency)/g. Aquatic ecological risk assessment was performed using the joint probability curve method and the Monte Carlo-based HQ (hazard quotient) distribution method. The combined risks of similar chemicals and the total risk of dissimilar categories of chemicals were assessed based on the principles of joint toxicity. Due to the adjacent industrial activities, the risk levels of PCBs, DDTs, and HCHs were relatively high. The risk order was as follows: PCBs > DDTs ≈ HCHs > DLCs. The risk of HCHs approximated that of DDTs, which is different from the fact that risk of HCHs is usually much lower in the other Chinese rivers. The total risk caused by these pollutants was very high. Due to their high persistence and potential source from land, the high risks of such pollutants are likely to last for a long period of time.

Regional Ecological Risk Assessment Index - A Case Study at Hulunbeier

2012 ◽  
Vol 524-527 ◽  
pp. 2827-2835
Author(s):  
Chen Zhang ◽  
Yan Guo Teng ◽  
Shi Hai Lv ◽  
Dai Qing Li ◽  
Chao Yang Feng ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Index System ◽  
Multiple Stressors ◽  
Social Economy ◽  
Multiple Sources ◽  
Degraded Land ◽  
Assessment Index ◽  
Regional Risk Assessment

Regional ecological risk assessment (RERA) can be defined as a risk assessment deals at a spatial that contains multiple habitats with multiple sources of multiple stressors affecting multiple endpoints and the characteristics of the landscape affect the risk estimate. Therefore, establishment RERA index system was quite complicate and being a hotspot in resent research. This paper discussed the history of RERA, reviewing RERA study in China and the proper site selection in Hulunbeier presenting RERA index system. An index system was set up based on the principle: Comparability, Available and Relevant. This index system developed by regarding the risk of land use change, industrial pollution and social economy as well as adopted ecosystem services, landscape and support system for regional risk assessment of degraded land (SYRIADE) methods.

scholarly journals Landscape Ecological Risk Assessment Based on LUCC—A Case Study of Chaoyang County, China

Forests ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1157
Author(s):  
Yuxin Ji ◽  
Zhongke Bai ◽  
Jiawei Hui
Keyword(s):  
Risk Assessment ◽  
Land Use ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Large Scale ◽  
Risk Levels ◽  
Aggregation Pattern ◽  
Risk Aggregation ◽  
Landscape Ecological ◽  
The Impact

The ecological environment is suffering from great human disturbance. Scientific assessment of landscape ecological risks can provide scientific guidance for land use management. This study focused on Chaoyang County in China, used ecological risk assessment methods to characterize the impact of land use/land cover (LUCC) change, and revealed the risk aggregation pattern with the help of spatial autocorrelation analysis. The results showed that ecological risk was increased from 2000 to 2010 but decreased from 2010 to 2018. The ecological risk of the Daling River and Xiaoling River basin was at a relatively high level, and low in the northwest and southeast of the study which covered by forest land. Occupying cultivated land for built-up and large-scale deforestation were two of the main factors to contribute to the increase of ecological risk. The distribution of High-High (HH) and Low-Low (LL) risk agglomeration areas was basically the same as risk levels, but the scope is smaller and more precise. Thus, HH and LH risk agglomeration area should be paid more attention to prevent the adverse impact of adjacent areas. Our study gave a novel perspective to investigate the pattern of ecological risk in order for government managers to identify key risk areas.

Sign in / Sign up

Export Citation Format

Share Document