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测量历史污染:自然历史藏品作为公共卫生与环境正义研究的工具

Measuring historical pollution: Natural history collections as tools for public health and environmental justice research.

作者信息

DuBay Shane, Weeks Brian C, Davis-Kean Pamela E, Fuldner Carl, Harris Nyeema C, Hughes Sara, O'Brien Bruce, Perkins Marie, Weyant Cheryl

机构信息

Department of Biology, University of Texas at Arlington, Arlington, TX 76019.

Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109.

出版信息

Proc Natl Acad Sci U S A. 2025 Jun 17;122(24):e2403781122. doi: 10.1073/pnas.2403781122. Epub 2025 May 30.

Abstract

Through the industrial era, pollutants have been unevenly distributed in the environment, disproportionately impacting disenfranchised communities. Redressing the unequal distribution of environmental pollution is thus a question of environmental justice and public health that requires policy solutions. However, data on pollutants for many locations and time periods are limited because environmental monitoring is largely reactive-i.e., pollutants are monitored only after they are recognized as harmful and are circulating in the environment at elevated levels. Without comprehensive historical pollution data, it is difficult to understand the full, intergenerational consequences of pollutants on environmental and human health. We assert that biological specimens in natural history collections are an underutilized source of quantitative pollution data for tracking environmental pollutants over two centuries to inform justice-centered policy solutions. Specifically, we: 1) discuss the need for quantitative pollution data in environmental research and its implications for public health and policy, 2) examine the capacity of biological specimens as tools for tracking environmental pollutants through space and time, 3) present a framework for integrating pollution datasets from specimens with spatially and temporally matched human health datasets to inform and evaluate policy, and 4) identify challenges and research directions associated with the use of quantitative pollution datasets. Biological specimens present a unique opportunity to fill critical gaps that address environmental challenges relevant to public health and policy. This work demands interdisciplinary partnerships and inclusive practices to connect data generated from specimens with urgent questions about environmental health and justice.

摘要

在工业时代,污染物在环境中的分布并不均匀,对被剥夺权利的社区造成了不成比例的影响。因此,纠正环境污染的不平等分布是一个环境正义和公共卫生问题,需要政策解决方案。然而,许多地点和时间段的污染物数据有限,因为环境监测很大程度上是被动的——也就是说,只有在污染物被确认为有害且在环境中以较高水平传播后才会进行监测。没有全面的历史污染数据,就很难了解污染物对环境和人类健康的全面、代际影响。我们认为,自然历史收藏中的生物标本是一种未得到充分利用的定量污染数据来源,可用于追踪两个世纪以来的环境污染物,为以正义为中心的政策解决方案提供信息。具体而言,我们:1)讨论环境研究中对定量污染数据的需求及其对公共卫生和政策的影响,2)研究生物标本作为追踪环境污染物时空工具的能力,3)提出一个框架,将来自标本的污染数据集与空间和时间匹配的人类健康数据集整合起来,为政策提供信息并进行评估,4)确定与使用定量污染数据集相关的挑战和研究方向。生物标本提供了一个独特的机会,以填补解决与公共卫生和政策相关的环境挑战的关键空白。这项工作需要跨学科合作和包容性做法,将标本产生的数据与有关环境健康和正义的紧迫问题联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a051/12184430/0c3db9e8eee4/pnas.2403781122fig01.jpg

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