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使用生态系统建模方法探索白鲸历史汞含量趋势的驱动因素。

Exploring Drivers of Historic Mercury Trends in Beluga Whales Using an Ecosystem Modeling Approach.

作者信息

Gillies Emma J, Li Mi-Ling, Christensen Villy, Hoover Carie, Sora Kristen J, Loseto Lisa L, Cheung William W L, Angot Hélène, Giang Amanda

机构信息

Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

School of Marine Science and Policy, University of Delaware, Newark, Delaware 19716, United States.

出版信息

ACS Environ Au. 2024 Jun 4;4(5):219-235. doi: 10.1021/acsenvironau.3c00072. eCollection 2024 Sep 18.

Abstract

While mercury occurs naturally in the environment, human activity has significantly disturbed its biogeochemical cycle. Inorganic mercury entering aquatic systems can be transformed into methylmercury, a strong neurotoxicant that builds up in organisms and affects ecosystem and public health. In the Arctic, top predators such as beluga whales, an ecologically and culturally significant species for many Inuit communities, can contain high concentrations of methylmercury. Historical mercury concentrations in beluga in the western Canadian Arctic's Beaufort Sea cannot be explained by mercury emission trends alone; in addition, they could potentially be driven by climate change impacts, such as rising temperatures and sea ice melt. These changes can affect mercury bioaccumulation through different pathways, including ecological and mercury transport processes. In this study, we explore key drivers of mercury bioaccumulation in the Beaufort Sea beluga population using Ecopath with Ecosim, an ecosystem modeling approach, and scenarios of environmental change informed by Western Science and Inuvialuit Knowledge. Comparing the effect of historical sea ice cover, sea surface temperature, and freshwater discharge time series, modeling suggests that the timing of historical increases and decreases in beluga methylmercury concentrations can be better explained by the resulting changes to ecosystem productivity rather than by those to mercury inputs and that all three environmental drivers could partially explain the decrease in mercury concentrations in beluga after the mid-1990s. This work highlights the value of multiple knowledge systems and exploratory modeling methods in understanding environmental change and contaminant cycling. Future work building on this research could inform climate change adaptation efforts and inform management decisions in the region.

摘要

虽然汞在环境中天然存在,但人类活动已严重扰乱其生物地球化学循环。进入水生系统的无机汞可转化为甲基汞,这是一种强大的神经毒素,会在生物体内蓄积并影响生态系统和公众健康。在北极地区,诸如白鲸等顶级捕食者体内可能含有高浓度的甲基汞,白鲸对许多因纽特社区来说具有生态和文化意义。加拿大北极西部波弗特海的白鲸体内的历史汞浓度不能仅由汞排放趋势来解释;此外,它们还可能受到气候变化影响的驱动,比如气温上升和海冰融化。这些变化可通过不同途径影响汞的生物累积,包括生态和汞传输过程。在本研究中,我们使用“Ecosim生态系统模型”这一生态系统建模方法以及由西方科学和因纽维克人知识提供信息的环境变化情景,来探究波弗特海白鲸种群中汞生物累积的关键驱动因素。通过比较历史海冰覆盖、海面温度和淡水排放时间序列的影响,模型表明,白鲸甲基汞浓度历史上的增减时机,用生态系统生产力的变化来解释比用汞输入的变化能更好地解释,并且所有这三个环境驱动因素都能部分解释20世纪90年代中期后白鲸体内汞浓度的下降。这项工作凸显了多种知识体系和探索性建模方法在理解环境变化和污染物循环方面的价值。基于这项研究的未来工作可为气候变化适应努力提供信息,并为该地区的管理决策提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a4d/11413906/890807f31a96/vg3c00072_0001.jpg

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