Synthesis of In Situ Marine Calcium Carbonate Dissolution Kinetic Measurements in the Water Column

IF 5.4 2区 地球科学 Q1 ENVIRONMENTAL SCIENCES Global Biogeochemical Cycles Pub Date : 2024-08-28 DOI:10.1029/2023GB008009
Ben A. Cala, Olivier Sulpis, Mariette Wolthers, Matthew P. Humphreys
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Abstract

Calcium carbonate (CaCO3) dissolution is an integral part of the ocean's carbon cycle. However, laboratory measurements and ocean alkalinity budgets disagree on the rate and loci of dissolution. In situ dissolution studies can help to bridge this gap, but so far published studies have not been utilized as a whole because they have not previously been compiled into one data set and lack carbonate system data to compare between studies. Here, we compile all published measurements of CaCO3 dissolution rates in the water column (11 studies, 752 data points). Combining World Ocean Atlas data (temperature, salinity) with the neural network CANYON-B (carbonate system variables), we estimate seawater saturation state (Ω) for each rate measurement. We find that dissolution rates at the same Ω vary by 2 orders of magnitude. Using a machine learning approach, we show that while Ω is the main driver of dissolution rate, most variability can be attributed to differences in experimental design, above all bias due to (diffusive) transport and the synthetic or biogenic nature of CaCO3. The compiled data set supports previous findings of a change in the mechanism driving dissolution at Ωcrit = 0.8 that separates two distinct dissolution regimes: rslow = 0.29 · (1 − Ω)0.68(±0.16) mass% day−1 and rfast = 2.95 · (1 − Ω)2.2(±0.2) mass% day−1. Above the saturation horizon, one study shows significant dissolution that cannot solely be explained by established theories such as zooplankton grazing and organic matter degradation. This suggests that other, non-biological factors may play a role in shallow dissolution.

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合成水柱中海洋碳酸钙原位溶解动力学测量数据
碳酸钙(CaCO3)溶解是海洋碳循环不可分割的一部分。然而,实验室测量结果和海洋碱度预算对溶解的速率和位置存在分歧。原位溶解研究有助于弥补这一差距,但迄今为止,已发表的研究还没有被作为一个整体加以利用,因为它们以前没有被汇编成一个数据集,而且缺乏碳酸盐系统数据来比较不同的研究。在此,我们汇编了所有已发表的水体中 CaCO3 溶解率测量数据(11 项研究,752 个数据点)。结合世界海洋地图集数据(温度、盐度)和神经网络 CANYON-B(碳酸盐系统变量),我们估算了每个速率测量值的海水饱和状态 (Ω)。我们发现,相同 Ω 时的溶解率相差 2 个数量级。利用机器学习方法,我们表明虽然 Ω 是溶解速率的主要驱动因素,但大部分变异可归因于实验设计的差异,首先是由于(扩散)传输和 CaCO3 的合成或生物性质造成的偏差。汇编的数据集支持之前的研究结果,即在Ωcrit = 0.8 时,驱动溶解的机制发生了变化,将两种不同的溶解状态分开:rslow = 0.29 - (1 - Ω)0.68(±0.16) 质量%/天-1 和 rfast = 2.95 - (1 - Ω)2.2(±0.2) 质量%/天-1。一项研究显示,在饱和水平线以上,存在着显著的溶解现象,这不能完全用浮游动物食草和有机物降解等既定理论来解释。这表明,其他非生物因素也可能在浅层溶解中发挥作用。
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来源期刊
Global Biogeochemical Cycles
Global Biogeochemical Cycles 环境科学-地球科学综合
CiteScore
8.90
自引率
7.70%
发文量
141
审稿时长
8-16 weeks
期刊介绍: Global Biogeochemical Cycles (GBC) features research on regional to global biogeochemical interactions, as well as more local studies that demonstrate fundamental implications for biogeochemical processing at regional or global scales. Published papers draw on a wide array of methods and knowledge and extend in time from the deep geologic past to recent historical and potential future interactions. This broad scope includes studies that elucidate human activities as interactive components of biogeochemical cycles and physical Earth Systems including climate. Authors are required to make their work accessible to a broad interdisciplinary range of scientists.
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