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拆分还是不拆分:利用特定分类群的物种敏感性分布来表征水生生态系统中的化学污染影响。

To Split or Not to Split: Characterizing Chemical Pollution Impacts in Aquatic Ecosystems with Species Sensitivity Distributions for Specific Taxonomic Groups.

作者信息

Oginah Susan Anyango, Posthuma Leo, Hauschild Michael, Slootweg Jaap, Kosnik Marissa, Fantke Peter

机构信息

Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark, Bygningstorvet 115, 2800 Kgs. Lyngby, Denmark.

National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands.

出版信息

Environ Sci Technol. 2023 Oct 3;57(39):14526-14538. doi: 10.1021/acs.est.3c04968. Epub 2023 Sep 21.

DOI:10.1021/acs.est.3c04968
PMID:37732841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10552544/
Abstract

Bridging applied ecology and ecotoxicology is key to protect ecosystems. These disciplines show a mismatch, especially when evaluating pressures. Contrasting to applied ecology, ecotoxicological impacts are often characterized for whole species assemblages based on Species Sensitivity Distributions (SSDs). SSDs are statistical models describing per chemical across-species sensitivity variation based on laboratory toxicity tests. To assist in the aligning of the disciplines and improve decision-support uses of SSDs, we investigate taxonomic-group-specific SSDs for algae/cyanobacteria/aquatic plants, invertebrates, and vertebrates for 180 chemicals with sufficient test data. We show that splitting improves pollution impact assessments for chemicals with a specific mode of action and, surprisingly, for narcotic chemicals. We provide a framework for splitting SSDs that can be applied to serve in environmental protection, life cycle assessment, and management of freshwater ecosystems. We illustrate that using split SSDs has potentially large implications for the decision-support of SSD-based outputs around the globe.

摘要

将应用生态学与生态毒理学联系起来是保护生态系统的关键。这些学科存在不匹配的情况,尤其是在评估压力时。与应用生态学不同,生态毒理学影响通常基于物种敏感度分布(SSD)针对整个物种组合进行表征。SSD是基于实验室毒性测试描述每种化学物质跨物种敏感度变化的统计模型。为了帮助协调这些学科并改进SSD在决策支持方面的应用,我们针对藻类/蓝细菌/水生植物、无脊椎动物和脊椎动物,对180种有足够测试数据的化学物质研究了特定分类群的SSD。我们表明,拆分可改善对具有特定作用模式的化学物质以及令人惊讶的对麻醉性化学物质的污染影响评估。我们提供了一个拆分SSD的框架,可用于环境保护、生命周期评估和淡水生态系统管理。我们说明,使用拆分的SSD可能会对全球基于SSD的产出的决策支持产生重大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/f850301a648f/es3c04968_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/d95d42416d63/es3c04968_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/279a5d3f015f/es3c04968_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/c0b362d7c93f/es3c04968_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/95fed0cff3d9/es3c04968_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/f850301a648f/es3c04968_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/d95d42416d63/es3c04968_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/279a5d3f015f/es3c04968_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/c0b362d7c93f/es3c04968_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/95fed0cff3d9/es3c04968_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5044/10552544/f850301a648f/es3c04968_0005.jpg

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本文引用的文献

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Linking freshwater ecotoxicity to damage on ecosystem services in life cycle assessment.将淡水生态毒性与生命周期评估中生态系统服务损害联系起来。
时间响应面:一种评估延迟和时间累积水生生态系统风险的新方法。
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Proposal of novel Predicted No Effect Concentrations (PNEC) for metals in freshwater using Species Sensitivity Distribution for different taxonomic groups.利用不同分类群的物种敏感性分布提出淡水中金属的新型预测无效应浓度(PNEC)。
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