Carbon and nitrogen isotopic composition of particulate organic matter and its biogeochemical implication in the Bering Sea

Lin, Feng; Chen, Min; Tong, Jinlu; Cao, Jianping; Qiu, Yusheng; Zheng, Minghui

doi:10.1007/s13131-014-0570-y

Cited by 10 publications

(10 citation statements)

References 53 publications

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“…Enriched δ 15 N was observed in the bottom water (e.g., stations YD3-2, YD3-5, YD3-6, and YD5-1). The depth-related distribution of δ 15 N was similar to previous observations made in the East China Sea and the Bering Sea (Wu et al, 2003;Lin et al, 2014). High δ 15 N in the bottom water mainly due to two reasons: 1) degradation of suspended matter itself causing the preferential loss of 14 N, leaving the remaining PON enriched in 15 N (Kumar et al, 2004); 2) mineralization of organic matter (Wu et al, 2003;Ye et al, 2017).…”

Section: Isotopic Composition Of Pom In the Nscssupporting

confidence: 86%

Distribution and Sources of Particulate Organic Matter in the Northern South China Sea: Implications of Human Activity

Huang

Lao²,

Chen

et al. 2021

J. Ocean Univ. China

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In order to understand origin and fate of particulate organic matter, the isotopic composition (δ 13 C and δ 15 N), total organic carbon content, total nitrogen content, and C/N ratios were measured for suspended particulate organic matter (POM) collected from the northern South China Sea (NSCS) during summer. Our study revealed that δ 13 C generally decreased from land to sea, and elevated δ 13 C occurred at the nearshore stations, suggesting that POC was mainly contributed from the eutrophic level and microbial activity. Moreover, the distribution of δ 15 N values were complicated, and heterotrophic modification was responsible for higher δ 15 N in the nearshore stations. These distribution patterns of δ 13 C and δ 15 N in the nearshore stations may be associated with the intensification of human activity in the coast. Based on the Stable Isotope Analysis in R model, 65% of POM was contributed by marine organic matter in the NSCS, 20% by terrestrial inputs, and 15% by freshwater algae.

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Section: Isotopic Composition Of Pom In the Nscssupporting

confidence: 86%

Distribution and Sources of Particulate Organic Matter in the Northern South China Sea: Implications of Human Activity

Huang

Lao²,

Chen

et al. 2021

J. Ocean Univ. China

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“…Data on bulk δ 13 C‐POC water , δ 13 C‐POC ice and δ 13 C‐POC riv values, focusing on suspended particulate organic matter above the thermocline, were collated from tables and figures in 37 original manuscripts and two open access databases for both marine (PANGAEA; http://www.pangaea.de) and riverine (articGRO; https://arcticgreatrivers.org/) environments, in Arctic and sub‐Arctic regions, as defined by the Köppen–Geiger climate classification (Kottek, Grieser, Beck, Rudolf, & Rubel, ). The database included 354 data points for marine δ 13 C‐POC water values (Brown et al, ; Connelly, McClelland, Crump, Kellogg, & Dunton, ; Forest et al, ; Griffith et al, ; Guo, Tanaka, Wang, Tanaka, & Murata, ; Hallanger et al, ; Hobson, Ambrose, & Renaud, ; Hobson et al, ; Iken et al, ; Iken, Bluhm, & Gradinger, ; Ivanov, Lein, Zakharova, & Savvichev, ; Kohlbach et al, ; Kuliński, Kędra, Legeżyńska, Gluchowska, & Zaborska, ; Kuzyk, Macdonald, Tremblay, & Stern, ; Lin et al, ; Lovvorn et al, ; O'Brien, Macdonald, Melling, & Iseki, ; Parsons et al, ; Roy et al, ; Sarà et al, ; Schubert & Calvert, ; Smith, Henrichs, & Rho, ; Søreide et al, ; Søreide, Hop, Carroll, Falk‐Petersen, & Hegseth, ; Tamelander, Reigstad, Hop, & Ratkova, ; Tamelander et al, ; Tremblay, Michel, Hobson, Gosselin, & Price, ; Zhang et al, ), 69 data points for δ 13 C‐POC ice values (Forest et al, ; Hobson et al, ; ; Iken et al, ; Kohlbach et al, ; Lovvorn et al, ; Roy et al, ; Schubert & Calvert, ; Søreide et al, , ; Tamelander et al, ; Tremblay et al, ) and 383 data points for riverine δ 13 C‐POC riv values (Goni, Yunker, Macdonald, & Eglinton, ; Holmes, McClelland, Tank, Spencer, & Shiklomanov, ; Kuzyk et al, ; Lobbes et al, ). Data were available over different temporal scales: marine δ 13 C‐POC water values from 1986 to 2013, δ 13 C‐POC ice from 1993 to 2012 and riverine δ 13 C‐POC riv values from 1987 to 2016.…”

Section: Methodsmentioning

confidence: 99%

Temporal and spatial trends in marine carbon isotopes in the Arctic Ocean and implications for food web studies

Vega

Jeffreys

Tuerena

et al. 2019

Global Change Biology

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The Arctic is undergoing unprecedented environmental change. Rapid warming, decline in sea ice extent, increase in riverine input, ocean acidification and changes in primary productivity are creating a crucible for multiple concurrent environmental stressors, with unknown consequences for the entire arctic ecosystem. Here, we synthesized 30 years of data on the stable carbon isotope (δ13C) signatures in dissolved inorganic carbon (δ13C‐DIC; 1977–2014), marine and riverine particulate organic carbon (δ13C‐POC; 1986–2013) and tissues of marine mammals in the Arctic. δ13C values in consumers can change as a result of environmentally driven variation in the δ13C values at the base of the food web or alteration in the trophic structure, thus providing a method to assess the sensitivity of food webs to environmental change. Our synthesis reveals a spatially heterogeneous and temporally evolving δ13C baseline, with spatial gradients in the δ13C‐POC values between arctic shelves and arctic basins likely driven by differences in productivity and riverine and coastal influence. We report a decline in δ13C‐DIC values (−0.011‰ per year) in the Arctic, reflecting increasing anthropogenic carbon dioxide (CO2) in the Arctic Ocean (i.e. Suess effect), which is larger than predicted. The larger decline in δ13C‐POC values and δ13C in arctic marine mammals reflects the anthropogenic CO2 signal as well as the influence of a changing arctic environment. Combining the influence of changing sea ice conditions and isotopic fractionation by phytoplankton, we explain the decadal decline in δ13C‐POC values in the Arctic Ocean and partially explain the δ13C values in marine mammals with consideration of time‐varying integration of δ13C values. The response of the arctic ecosystem to ongoing environmental change is stronger than we would predict theoretically, which has tremendous implications for the study of food webs in the rapidly changing Arctic Ocean.

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“…Higher values of DMS (13.57 n M ) and nutrients concentrations occurring in the slope regions resulted from nutrient‐rich, iron‐poor surface waters of the deep Bering Sea Basin mixing with the nutrient‐poor, iron‐rich surface waters of the shelf, indicating that biological productivity on the Bering Slope was active (Lin et al, ). Physical processes over the continental slope, such as intense tidal mixing, transverse circulation, and eddies in the BSC, deliver nitrate‐rich deep waters to the euphotic zone (Moiseev, ) and contribute to the enhanced primary and secondary productions and elevated plankton biomass (Clement Kinney et al, ).…”

Section: Resultsmentioning

confidence: 99%

Occurrence and Turnover of Biogenic Sulfur in the Bering Sea During Summer

Wang

Yang

et al. 2017

JGR Oceans

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The horizontal/geographical variations in dissolved dimethylsulfide (DMS), its precursor dimethylsulfoniopropionate (DMSPd and DMSPp), and chlorophyll a (Chl a), as well as the oceanographic parameters influencing the concentrations of dimethylated sulfur compounds, were investigated in the Bering Sea from July to August 2012. Similar to Chl a, the surface DMS and DMSPp levels, as well as DMS(P) production and consumption rates, exhibited a declining gradient from the central basin to the continental shelf, with high‐value areas appearing in the central basin, the slope regions, and Anadyr Strait but a low‐value area occurring on the outer‐middle continental shelf. Considerably high values of DMS and DMSP were measured in the saline Bering Sea Basin Deep Water (>2,000 m) located at the southwest of the Bering Basin because of the release of resuspension in 2,000 m depth and the DMSP production from endogenous benthic bacteria and cyanobacteria population. Chl a was positively correlated with DMSPp and DMS in the surface waters and the upper water of the basin, whereas significant negative correlations were found between DMS and nutrients (dissolved inorganic nitrogen [DIN], phosphorus, and silicate) in the inner shelf of the Bering Sea. DMS microbial consumption was approximately 6.26 times faster than the DMS sea‐air exchange, demonstrating that the major loss of DMS in the surface water occurred through biological consumption relative to evasion into the atmosphere. Average sea‐to‐air DMS fluxes were estimated to be 4.66 μmol/(m2·d), and consequently oceanic biogenic DMS emission had a dominant contribution to the sulfur budget over the observational area.

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Carbon and nitrogen isotopic composition of particulate organic matter and its biogeochemical implication in the Bering Sea

Cited by 10 publications

References 53 publications

Distribution and Sources of Particulate Organic Matter in the Northern South China Sea: Implications of Human Activity

Distribution and Sources of Particulate Organic Matter in the Northern South China Sea: Implications of Human Activity

Temporal and spatial trends in marine carbon isotopes in the Arctic Ocean and implications for food web studies

Occurrence and Turnover of Biogenic Sulfur in the Bering Sea During Summer

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