The contribution of a niche-based approach to ecological risk assessment: Using macroinvertebrate species under multiple stressors

2014 ◽  
Vol 185 ◽  
pp. 24-34 ◽  
Author(s):  
Fanny Colas ◽  
Amandine Vigneron ◽  
Vincent Felten ◽  
Simon Devin
Keyword(s):  
Risk Assessment ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Multiple Stressors ◽  
Macroinvertebrate Species

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.

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.

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