Chemodiversity of riverine dissolved organic matter: Effects of local environments and watershed characteristics

Cui, Yifan; Wen, Shuailong; Stegen, James C.; Hu, Ang; Wang, Jianjun

doi:10.1016/j.watres.2023.121054

Title: Chemodiversity of riverine dissolved organic matter: Effects of local environments and watershed characteristics

Journal Article · 21 December 2023 · Water Research

DOI: https://doi.org/10.1016/j.watres.2023.121054 · OSTI ID:2348890

Cui, Yifan ^[1]; Wen, Shuailong ^[1]; Stegen, James C. ^[2]; Hu, Ang ^[1];

^[1]

Chinese Academy of Sciences, Nanjing, Jiangsu (China)
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Riverine dissolved organic matter (DOM) is crucial to global carbon cycling and aquatic ecosystems. However, the geographical patterns and environmental correlates of DOM chemodiversity remain elusive especially in surface waters and sediments of global rivers. Here, we systematically analyzed DOM molecular diversity and composition in surface waters and sediments across 97 globally distributed rivers using data from the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS) consortium. Here, we further examined the associations of molecular richness and composition with geographical, climatic, physicochemical variables, as well as the watershed characteristics. We found that molecular richness significantly decreased toward higher latitudes, but only in sediments (r = -0.24, P < 0.001). The environmental variables like precipitation and non-purgeable organic carbon showed strong associations with DOM molecular richness and composition. Interestingly, we identified that less-documented factors like watershed characteristics were also related to DOM molecular richness and composition, and were stronger in waters than sediments. Such associations were further supported by the fact that 11 out of 13 watershed characteristics (e.g., land cover variables) showed more positive than negative correlations with molecular abundance especially in waters. The molecules positively and negatively correlated with specific watershed characteristics had distinct traits, such as stoichiometric ratios and aromaticity. Land covers shifted from natural (e.g., forests) to human-modified (e.g., impervious area) were associated with systematic changes in DOM molecular chemistry. Our findings imply that it may be possible to use a small set of broadly available data types to predict DOM molecular richness and composition across diverse river systems. Elucidation of mechanisms underlying these relationships will provide further enhancements to such predictions, especially when extrapolating to unsampled systems.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE; National Natural Science Foundation of China (NSFC)

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 2348890

Report Number(s):: PNNL-SA--192351

Journal Information:: Water Research, Journal Name: Water Research Vol. 250; ISSN 0043-1354

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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