Pacella Stephen R, Brown Cheryl A, Labiosa Rochelle G, Hales Burke, Collura T Chris Mochon, Evans Wiley, Waldbusser George G
Pacific Ecological Systems Division, Center for Public Health and Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, Newport, OR, USA.
Region 10, United States Environmental Protection Agency, Seattle, WA, USA.
J Geophys Res Oceans. 2024 Feb 27;129(3). doi: 10.1029/2023jc020313.
Attribution of the ocean acidification (OA) signal in estuarine carbonate system observations is necessary for quantifying the impacts of global anthropogenic emissions on water quality, and informing managers of the efficacy of potential mitigation options. We present an analysis of observational data to characterize dynamics and drivers of seasonal carbonate system variability in two seagrass habitats of Puget Sound, WA, USA, and estimate how carbon accumulations due to anthropogenic emissions interact with these drivers of carbonate chemistry to determine seasonally resolved rates of acidification in these habitats. Three independent simulations of accumulation from 1765 to 2100 were run using two previously published methods and one novel method for estimation. Our results revealed persistent seasonal differences in the magnitude of carbonate system responses to anthropogenic emissions caused by seasonal metabolic changes to the buffering capacity of estuarine waters. The seasonal variability of and is increased (while that of is decreased) and acidification rates are accelerated when compared with open-ocean estimates, highlighting how feedbacks between local metabolism and can control the susceptibility of estuarine habitats to OA impacts. The changes in seasonal variability can shorten the timeline to exceedance of established physiological thresholds for endemic organisms and existing Washington State water quality criteria for pH. We highlight how estimation uncertainties manifest in shallow coastal waters and limit our ability to predict impacts to coastal organisms and ecosystems from anthropogenic emissions.
确定河口碳酸盐系统观测中海洋酸化(OA)信号的来源,对于量化全球人为排放对水质的影响以及告知管理者潜在缓解方案的有效性至关重要。我们对观测数据进行了分析,以描述美国华盛顿州普吉特海湾两个海草栖息地季节性碳酸盐系统变化的动态和驱动因素,并估计人为排放导致的碳积累如何与这些碳酸盐化学驱动因素相互作用,从而确定这些栖息地季节性解析的酸化速率。使用两种先前发表的方法和一种新的估计方法,对1765年至2100年的碳积累进行了三次独立模拟。我们的结果表明,由于河口水体缓冲能力的季节性代谢变化,碳酸盐系统对人为排放的响应幅度存在持续的季节性差异。与公海估计值相比,pH值和总碱度的季节性变化增加(而碳酸盐碱度的季节性变化减少),酸化速率加快,这突出了局部代谢与碳之间的反馈如何控制河口栖息地对OA影响的敏感性。季节性变化的改变可能会缩短超过特有生物既定生理阈值和华盛顿州现有pH值水质标准的时间线。我们强调了碳估计不确定性在浅海沿岸水域中的表现方式,以及限制我们预测人为排放对沿海生物和生态系统影响能力的因素。