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The "Ecological Node-Food Web" based ecological risk assessment
Hong-Ying Hu1,2, Ren Ding1, Huanan Gao1
1State Key Laboratory of Regional Environment and Sustainability, Key Laboratory of Microorganism Application and Risk Control, Ministry of Ecology and Environment, School of Environment, Tsinghua University, Beijing 100084, China.
Abstract:
Traditional aquatic ecological risk assessments are often constrained by a heavy reliance on extensive toxicological data and a limited consideration of interspecies interactions. To address these limitations, this study proposes a novel framework: the "ecological node-food web" method. This approach establishes dose-response relationships between pollutants and ecosystem-level toxicity endpoints by integrating toxicological data from key "ecological node" species with food web modeling. Results demonstrate that data from a few key nodes can effectively mimic ecosystem-wide responses to pollutants. Compared to conventional methods, this approach reduces the need for extensive datasets, enhances cost-effectiveness, and elucidates risk mechanisms through changes in community structure. The method ultimately enables the derivation of scientifically robust ecological risk thresholds.
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