Evaluation of Sedimentary Organic Carbon Reactivity and Burial in the Eastern China Marginal Seas

Guo, Jinqiang; Yuan, Huamao; Song, Jinming; Li, Xuegang; Duan, Liqin; Li, Ning; Wang, Yingxia

doi:10.1029/2021jc017207

Cited by 14 publications

(7 citation statements)

References 81 publications

(102 reference statements)

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“…Interestingly, mud deposits presented different OC loadings, supporting previous findings that certain mud‐rich settings act as incinerators of OC, whereas others stabilize OC and promote its burial (B. Zhao et al., 2018). For instance, the mud belt downcurrent from the Yangtze River has an OC loading <0.4 mg OC·m −2 , which confirms that this transient deposit enhances the remineralization of OC, whereas the OC loading >0.4 mg OC·m −2 in the mud deposit of the southern Region II implies that OM is efficiently buried here due to the cold water masses that stabilize sedimentary environments (Guo et al., 2021; Yao et al., 2014; M. Yu et al., 2022; B. Zhao et al., 2018). Interestingly, while Region VII is characterized by high OC and TN contents (Figures 5a and 5b), this area actually has low OC and TN loadings (Figure 7), an indication that fine grained sediments accumulating in this deep basin have been intensively reworked and associated OM has been remineralized during its long transit time until its deposition.…”

Section: Resultsmentioning

confidence: 93%

“…Zhao et al, 2018). For instance, the mud belt downcurrent from the Yangtze River has an OC loading <0.4 mg OC•m 2 , which confirms that this transient deposit enhances the remineralization of OC, whereas the OC loading >0.4 mg OC•m 2 in the mud deposit of the southern Region II implies that OM is efficiently buried here due to the cold water masses that stabilize sedimentary environments (Guo et al, 2021;Yao et al, 2014;M. Yu et al, 2022;.…”

Section: Global Biogeochemical Cyclesmentioning

confidence: 80%

“…While bottom temperature can be a depositional process that regulates the remineralization of OM (Burdige, 2011;Jin & Bethke, 2005), it is classified here as a factor reflecting hydrodynamic processes due to the presence of several temperature-driven eddies in this margin. Indeed, cold-water eddies promote the formation of stable mud deposits, whereas warmer bottom waters stimulate the remineralization of OM (Guo et al, 2021;. Similarly, surface water concentrations of key nutrients such as silicate, nitrate, calcite and iron were important predictor Finally, bottom oxygen concentration was also important in predicting the distribution of OC and TN, since reduced oxygen exposure promotes the preservation of OM (Arnarson & Keil, 2007;Hartnett et al, 1998;LaRowe et al, 2020).…”

Section: Controls On the Distribution Of Organic Matter And Predictio...mentioning

confidence: 99%

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Unraveling Environmental Forces Shaping Surface Sediment Geochemical “Isodrapes” in the East Asian Marginal Seas

Paradis,

Diesing,

Gies

et al. 2024

Global Biogeochemical Cycles

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As major sites of carbon burial and remineralization, continental margins are key components of the global carbon cycle. However, heterogeneous sources of organic matter (OM) and depositional environments lead to complex spatial patterns in sedimentary organic carbon (OC) content and composition. To better constrain the processes that control OM cycling, we focus on the East Asian marginal seas as a model system, where we compiled extensive data on the OC content, bulk isotopic composition (δ13C and Δ14C), total nitrogen, and mineral surface area of surficial sediments from previous studies and new measurements. We developed a spatial machine learning modeling framework to predict the spatial distribution of these parameters and identify regions where sediments with similar geochemical signatures drape the seafloor (i.e., “isodrapes”). We demonstrate that both provenance (44%–77%) and hydrodynamic processes (22%–53%) govern the fate of OM in this margin. Hydrodynamic processes can either promote the degradation of OM in mobile mud‐belts or preserve it in stable mud‐deposits. The distinct isotopic composition of OC sources from marine productivity and individual rivers regulates the age and reactivity of OM deposited on the sea‐floor. The East Asian marginal seas can be separated into three main isodrapes: hydrodynamically energetic shelves with coarser‐grained sediment depleted in OC, OM‐enriched mud deposits, and a deep basin with fine‐grained sediments and aged OC affected by long oxygen exposure times and petrogenic input from rivers. This study confirms that both hydrodynamic processes and provenance should be accounted for to understand the fate of OC in continental margins.

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Section: Resultsmentioning

confidence: 93%

Section: Global Biogeochemical Cyclesmentioning

confidence: 80%

Section: Controls On the Distribution Of Organic Matter And Predictio...mentioning

confidence: 99%

See 1 more Smart Citation

Unraveling Environmental Forces Shaping Surface Sediment Geochemical “Isodrapes” in the East Asian Marginal Seas

Paradis,

Diesing,

Gies

et al. 2024

Global Biogeochemical Cycles

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“…The core isoGDGTs were determined using an ultrahighperformance liquid chromatograph (LC-30A, Shimadzu) under atmospheric pressure chemical ionization mode coupled to an AB SCIENX Triple Quad 4500 mass spectrometer. A Prevail Cyano column (150 mm × 2.1 mm, 3 µm; Alltech) was equipped to separate isoGDGT compounds at 30 • C. The mobile phases were n-hexane/isopropanol (mobile phase A, v/v = 99:1) and n-hexane/isopropanol (mobile phase B, v/v = 90:10), and the flow rate was set to 0.2 mL min −1 (Hopmans et al, 2000;Guo et al, 2021). The target ions (m/z) were identified as follows: 1302 (GDGT-0), 1300 (GDGT-1), 1298 (GDGT-2), 1296 (GDGT-3), 1292 (crenarchaeol and crenarchaeol regioisomer; i.e., Cren and Cren') and 744 (C 46 GTGT) (Huguet et al, 2006).…”

Section: Extraction and Analysis Of Isogdgtsmentioning

confidence: 99%

Variation of Isoprenoid GDGTs in the Stratified Marine Water Column: Implications for GDGT-Based TEX86 Paleothermometry

et al. 2021

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Isoprenoid glycerol dialkyl glycerol tetraethers (isoGDGTs) derived from archaea are lipid biomarkers that exhibit high sensitivity to changes in water temperature, leading to the widespread application of the isoGDGT-based tetraether index of 86 carbon atoms (TEX86) in surface seawater temperature (SST) reconstruction. However, there remain some uncertainties regarding the robustness of TEX86 under changing water conditions (e.g., variations in water depth, oxygen and pH). Here, we analyzed isoGDGTs in suspended particles at different depths of the East China Sea (ECS) during summer 2020, aiming to constrain the applicability of the TEX86 proxy in coastal waters. Our data showed that the isoGDGTs were mainly derived from planktonic Thaumarchaeota, as revealed by the low ratio of GDGT-0/crenarchaeol (<0.5). The vertical distribution of isoGDGT concentration depicted a downward increase from the surface to the bottom. This observation was likely shaped by Thaumarchaeota, which regulate the extent of ammonia oxidation based on the availability of ammonium. The occurrence of maximal isoGDGT concentrations in the bottom layer suggests that the isoGDGTs in sediments are mainly controlled by bottom archaeal production rather than surface archaeal production. By reanalyzing the published isoGDGT data of surface sediments in the ECS inner shelf, we found that the sedimentary TEX86 relates much better to the annual mean bottom seawater temperature (BST) than to the annual mean SST, indicating that sedimentary TEX86 is more inclined to be a proxy for the BST in the shallow ECS. In addition, the positive bias of TEX86 driven by low dissolved oxygen and low pH was observed under the pycnocline, indicating that the application of TEX86 to reconstruct seawater temperature should be carefully appraised in coastal environments with strong water column stratification.

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“…Keivan Kabiri [17] proposed a method for the estimation of Zsd based on MODIS Kd(490) data and apply it in the northern Persian Gulf, the Strait of Hormuz, and the Gulf of Oman. Many other researchers have studied the spatial and temporal distributions of transparency in global oceans, and inland waters [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28]. However, few scholars discuss the influence of different atmospheric correction (AC) algorithms on the accuracy of retrieved transparency.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study on Transparency Retrieved From GOCI Under Four Different Atmospheric Correction Algorithms in Jiaozhou Bay and Qingdao Coastal Area

Liu,

Hu,

Tian

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Water transparency is one of the important parameters to describe the optical properties of seawater. It is a visual reflection of the degree of turbidity of seawater and the degree of absorption and scattering of light by seawater. First, this article verified and analyzed the suitability of the water transparency retrieval method proposed by Lee in 2015 (denoted as Zsd_lee_2015) for Jiaozhou Bay and Qingdao offshore waters by using the in-situ data. Second, the water transparency estimation results retrieved from Geostationary Ocean Color Imager (GOCI) using four atmospheric correction (AC) algorithms were compared and analyzed with in-situ data in the study area. The four AC algorithms are the standard AC algorithms of Korea Ocean Satellite Center (KOSC) GOCI GDPS1.3 and GDPS2.0, the standard near-infrared AC algorithm of NASA, and management unit of the North Sea mathematical models. At last, GOCI data on Mar 09, 2018, were used to analyze the differences in hourly changes of transparency caused by different AC algorithms in detail. The results show that the Zsd_lee_2015 model is suitable for the study area (R 2 >0.8, MAPE = 16.4%). The difference in transparency value caused by the AC algorithm cannot be ignored completely. Moreover, there are great differences in the moment when the maximum value of transparency is presented based on different AC algorithms, presented is basically the same, mostly occurring at 00:16. The results cast doubt on the previous conclusions about the hourly variations of biochemical parameters using GOCI because the hourly variations obtained under different AC algorithms are not completely consistent. Index Terms-Atmospheric correction (AC), geostationary ocean color imager (GOCI), hourly change, Jiaozhou bay and Qingdao coastal area, water transparency.

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Evaluation of Sedimentary Organic Carbon Reactivity and Burial in the Eastern China Marginal Seas

Cited by 14 publications

References 81 publications

Unraveling Environmental Forces Shaping Surface Sediment Geochemical “Isodrapes” in the East Asian Marginal Seas

Unraveling Environmental Forces Shaping Surface Sediment Geochemical “Isodrapes” in the East Asian Marginal Seas

Variation of Isoprenoid GDGTs in the Stratified Marine Water Column: Implications for GDGT-Based TEX86 Paleothermometry

Comparative Study on Transparency Retrieved From GOCI Under Four Different Atmospheric Correction Algorithms in Jiaozhou Bay and Qingdao Coastal Area

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