On the Assessment of Sinking Particle Fluxes From In Situ Particle Size Distributions

IF 3.5 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Elena Ceballos Romero, Ken Buesseler, Erik Fields, Rainer Kiko, Meg Estapa, Lee Karp-Boss, Samantha Clevenger, Laetitia Drago, David A. Siegel
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Abstract

The biological carbon pump is a vital component of the global carbon cycle, particularly through the sinking of particulate organic carbon (POC) into the ocean interior. Particle size distribution (PSD) observations from the Underwater Vision Profiler (UVP) have been widely used to quantify sinking POC fluxes. This approach assumes that the sinking POC flux is a function of the PSD multiplied by a power law relating particle size to sinking rates and carbon content. The coefficients of the power law are quantified by regressing UVP data against sediment trap flux observations. Here, we systematically assess the performance of this approach using a large UVP data set of co-located and coincident sediment trap and thorium-234 flux observations from the North Pacific (50°N, 145°W, August 2018) and the North Atlantic (49°N, 16.5°W, May 2021) sampled during the EXPORTS (EXport Processes in the Ocean from RemoTe Sensing) field campaign, which span both diverse environmental conditions and sinking flux values. Globally, when power law coefficients are evaluated over all sites and depths, the UVP flux method explains 80% of the variance in POC flux. However, when coefficients are determined using regional subsets of the EXPORTS data set, the method performs poorly. Reasons include lack of knowledge of particle characteristics beyond PSD, undersampling of rare large particles, spatial and temporal scale mismatches between UVPs and flux observations, and difficulties arising from non-steady state conditions. To improve UVP-based sinking POC flux estimates regionally, additional data on particle characteristics such as transparency and morphology are needed.

Abstract Image

从原位粒径分布评价沉降颗粒通量
生物碳泵是全球碳循环的重要组成部分,特别是通过将颗粒有机碳(POC)沉入海洋内部。水下视觉剖面仪(UVP)的粒径分布(PSD)观测已被广泛用于定量下沉POC通量。这种方法假定下沉的POC通量是PSD乘以与下沉速率和碳含量有关的粒度幂律的函数。幂律的系数是通过将UVP数据与沉积物捕集器通量观测值进行回归来量化的。在此,我们利用一个大型UVP数据集系统地评估了该方法的性能,该数据集包括北太平洋(50°N, 145°W, 2018年8月)和北大西洋(49°N, 16.5°W, 2021年5月)在EXPORTS(海洋遥感出口过程)野外活动期间采样的沉积物捕集和钍-234通量观测数据,这些数据集涵盖了不同的环境条件和下沉通量值。在全局上,当在所有地点和深度上计算幂律系数时,UVP通量方法解释了POC通量80%的方差。但是,当使用EXPORTS数据集的区域子集确定系数时,该方法的性能很差。原因包括缺乏对PSD以外的粒子特征的了解,稀有大粒子的采样不足,uvp与通量观测之间的时空尺度不匹配,以及非稳态条件带来的困难。为了改进基于uvp的下沉POC通量区域估计,需要额外的粒子特征数据,如透明度和形态。
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来源期刊
Journal of Geophysical Research: Biogeosciences
Journal of Geophysical Research: Biogeosciences Earth and Planetary Sciences-Paleontology
CiteScore
6.60
自引率
5.40%
发文量
242
期刊介绍: JGR-Biogeosciences focuses on biogeosciences of the Earth system in the past, present, and future and the extension of this research to planetary studies. The emerging field of biogeosciences spans the intellectual interface between biology and the geosciences and attempts to understand the functions of the Earth system across multiple spatial and temporal scales. Studies in biogeosciences may use multiple lines of evidence drawn from diverse fields to gain a holistic understanding of terrestrial, freshwater, and marine ecosystems and extreme environments. Specific topics within the scope of the section include process-based theoretical, experimental, and field studies of biogeochemistry, biogeophysics, atmosphere-, land-, and ocean-ecosystem interactions, biomineralization, life in extreme environments, astrobiology, microbial processes, geomicrobiology, and evolutionary geobiology
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