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校准水生生态系统中预测的混合毒性压力与观测到的生物多样性丧失情况。

Calibrating Predicted Mixture Toxic Pressure to Observed Biodiversity Loss in Aquatic Ecosystems.

作者信息

Oginah Susan A, Posthuma Leo, Slootweg Jaap, Hauschild Michael, Fantke Peter

机构信息

Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark, Kongens Lyngby, Denmark.

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

出版信息

Glob Chang Biol. 2025 Jun;31(6):e70305. doi: 10.1111/gcb.70305.

Abstract

Unlike practices in applied ecology, assessing the impact of chemical pollution on biodiversity depends on species sensitivity data from laboratory toxicity effect tests. There are ~12,000 chemicals with such data, enabling quantification of a metric that characterizes the magnitude of the toxic pressure of chemical mixtures on aquatic organisms. However, the calibration between this lab-based metric and biodiversity effects in the field is lacking. To address this gap, we calibrated both. We quantified mixture toxic pressure levels from extensive water quality monitoring data across 1286 sampling sites and expressed it as multi-substance potentially affected fraction of species (msPAF). We furthermore quantified species abundance and richness loss for those sites. Calibration of both yielded that the observed potentially disappeared fraction of species (PDF) can be quantified from msPAF as biodiversity impact metric. Species abundance and richness generally declined with increasing toxic pressure, and a near 1:1 PAF-to-PDF relationship was derived. Both metrics are key in regulatory chemical policies and comparative biodiversity impact assessments, with PDF also widely used for biodiversity footprinting to assess species loss. Our results imply that the lab-based mixture toxic pressure metric can roughly be interpreted in terms of species loss under field conditions, that assumed regulatory "safe concentrations" may not fully protect exposed species assemblages, and that comparative biodiversity impact assessments can be made based on mixture toxic pressure metrics. These outcomes are highly relevant for biodiversity protection, and support the transition toward a "safe chemical economy" by enabling the design of compounds and products with lower environmental impacts.

摘要

与应用生态学中的做法不同,评估化学污染对生物多样性的影响依赖于实验室毒性效应测试得出的物种敏感性数据。有大约12000种化学品有此类数据,这使得能够量化一种指标,该指标可表征化学混合物对水生生物的毒性压力大小。然而,基于实验室的这一指标与野外生物多样性效应之间缺乏校准。为填补这一空白,我们对两者都进行了校准。我们从1286个采样点的广泛水质监测数据中量化了混合物毒性压力水平,并将其表示为多物质潜在物种受影响分数(msPAF)。我们还对这些采样点的物种丰度和丰富度损失进行了量化。对两者的校准结果表明,观察到的潜在物种消失分数(PDF)可从msPAF量化得出,作为生物多样性影响指标。物种丰度和丰富度通常随着毒性压力的增加而下降,并且得出了近乎1:1的PAF与PDF的关系。这两个指标在化学监管政策和比较生物多样性影响评估中都很关键,其中PDF也广泛用于生物多样性足迹分析以评估物种损失。我们的结果表明,基于实验室的混合物毒性压力指标大致可根据野外条件下的物种损失来解释,假定的监管“安全浓度”可能无法完全保护受暴露的物种组合,并且可以基于混合物毒性压力指标进行比较生物多样性影响评估。这些结果与生物多样性保护高度相关,并通过推动设计对环境影响较小的化合物和产品来支持向“安全化学经济”的转变。

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