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Analyzing biases of nitrogen contents and δ15N values arising from acidified marine sediments with different CaCO3 concentrations
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Yajun PENG1, 2, Dongyan LIU1, 3, *, Yujue WANG1, Pierre RICHARD4, John K. KEESING5
Acta Oceanologica Sinica | 2018, 37(8) : 1 - 5
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Acta Oceanologica Sinica | 2018, 37(8): 1-5
Marine Chemistry
Analyzing biases of nitrogen contents and δ15N values arising from acidified marine sediments with different CaCO3 concentrations
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Yajun PENG1, 2, Dongyan LIU1, 3, *, Yujue WANG1, Pierre RICHARD4, John K. KEESING5
Affiliations
  • 1 Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
  • 2 School of Management Science, Guizhou University of Finance and Economics, Guiyang 550000, China
  • 3 State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China
  • 4 Littoral, Environment et Sociétés, UMR 7266 CNRS-Université de La Rochelle, 2 rue Olympe de Gouges, La Rochelle 17000, France
  • 5 CSIRO Oceans and Atmosphere and University of Western Australia Oceans Institute, Indian Ocean Marine Research Centre, Crawley 6009, Australia
Published: 2018-08-25 doi: 10.1007/s13131-018-1188-2
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In some studies, the researchers pretreated and measured organic carbon, nitrogen and their isotopes (δ13C and δ15N) of marine sediment together, to save costs and resources of analysis. However, the procedure of acidification to remove inorganic carbon for analysing δ13C can affect the values of nitrogen and δ15N, and the biases vary a lot depending on the CaCO3 contents of sediments. In this study, the biases of total nitrogen (TN) and δ15N values arising from acidified sediments were compared between the CaCO3-poor (1%–16%) and CaCO3-rich (20%–40%) samples. TN and δ15N values were altered during acid treatment (without centrifugation) that possibly led to N-containing compounds volatilization. For CaCO3-poor samples, acidification led to a range of 0%–40% TN losses and 0‰–2‰ shift in δ15N values; and 10%–60% TN losses and 1‰–14‰ shift in δ15N values for CaCO3-rich samples. The biases from most samples exceeded the precision of the instrument (0.002% for TN and 0.08‰ for δ15N), and high biases could mislead our judgment for the environmental implication of the data. Thus, avoiding co-analysis of organic carbon, nitrogen and their isotopes (δ13C and δ15N) in sediments, even for CaCO3-poor marine sediments, is necessary.

stable isotope nitrogen  /  nitrogen  /  CaCO3  /  acidification  /  marine sediment
Yajun PENG, Dongyan LIU, Yujue WANG, Pierre RICHARD, John K. KEESING. Analyzing biases of nitrogen contents and δ15N values arising from acidified marine sediments with different CaCO3 concentrations[J]. Acta Oceanologica Sinica, 2018 , 37 (8) : 1 -5 . DOI: 10.1007/s13131-018-1188-2
Organic matter contents (e.g., total carbon and nitrogen) and their isotope fingerprints (δ13C and δ15N) in the sediments are important environmental proxies to evaluate the sediment quality and trace the material sources in coastal and estuarine ecosystems (Tucker et al., 1999; Voss et al., 2000; Savage, 2005). For example, anthropogenically enriched organic nitrogen (e.g., human sewage, livestock runoff) can significantly elevate the values of δ15N to 10‰–25‰ (Sweeney and Kaplan, 1980; Savage, 2005). In some studies, the researchers pretreated and measured organic carbon, nitrogen and their isotopes (δ13C and δ15N) in marine sediment together, to save costs and resources of analysis (e.g., Middelburg and Nieuwenhuize, 1998; Kennedy et al., 2005; Hu et al., 2006; Wang et al., 2013). Acidification is a necessary procedure to remove inorganic carbon for meeting the requirement of total organic carbon (TOC) and δ13C measurements. However, when samples were acidified, the loss of total nitrogen (TN) and even the shift of δ15N values occurred (Bunn et al., 1995; Jacob et al., 2005; Jaschinski et al., 2008; Serrano et al., 2008; Schlacher and Connolly, 2014). This biases caused by acidification varied greatly depending on the species of acid reagent (e.g., HCl, H2SO3, H3PO4 or HF) and carbonate contents in the sediments (Schubert and Nielsen, 2000; Lorrain et al., 2003; Kennedy et al., 2005; Schmidt and Gleixner, 2005; Fernandes and Krull, 2008). For examples, Harris et al. (2001) only detected a slight increase in δ15N values (0.04‰–0.14‰) after acidification using HCl fumigation; Fernandes and Krull (2008) also found 1‰–2‰ deviation of δ15N values between the acidified (using HCl washing) and non-acidified samples. For the biases of nitrogen content, Lohse et al. (2000) reported there were approximately 28%–47% losses in nitrogen compounds for CaCO3-rich (55%–61%) samples after acidification using H2SO3; Kennedy et al. (2005) however only found about 0.3% nitrogen losses in the acidified samples (30% CaCO3) using HCl. Therefore, there is uncertainty on the biases in TN and δ15N values after acidification, and it is necessary to evaluate the biases according to the CaCO3 contents of the sediments.
Global mean CaCO3 content in marine surface sediments is approximately 34.8%, with a wide range of approximately 0%–80% (Ridgwell and Hargreaves, 2007). For examples, the samples from north and west Pacific Ocean contain approximately 0%–20% CaCO3, but CaCO3 contents in the samples from Atlantic Ocean can reach to 80% (Ridgwell and Hargreaves, 2007). In this study, TN and δ15N values in 236 marine sediment samples with higher CaCO3 contents (20%–40%) from the coastal waters in the western Australia and 273 samples with lower CaCO3 contents (0%–16%) from the coastal waters in China’s seas were measured, respectively, under acidified and non-acidified conditions. The biases of TN and δ15N values were evaluated and the correlation between the biases and CaCO3 contents in the sediments were examined to understand the impact of CaCO3 contents.
Two sediment cores were collected from the coast of King George River (KGR) in the northwestern Australia, and 236 sediment samples were obtained by slicing at 1-cm interval. Two and one sediment cores were collected from the Bohai Sea and Yellow Sea in China, respectively, and 221 sediment samples were obtained by slicing at 1-cm interval. In addition, 52 surface marine sediment samples were collected from the South Yellow Sea, China (Table 1). Totally, 509 marine sediment samples were stored in a freezer at –20°C preparing for the analysis of TOC, TN, δ15N values and CaCO3 contents.
TOC, TN and δ15N values were measured using a continuous-flow isotope-ratio mass spectrometer (Delta V Advantage, Thermo Scientific, Germany) coupled to an elemental analyzer (Flash EA 1112, Thermo Scientific, Italy) in Littoral Environment et Sociétés (LIENSs)-UMR7266, France. Firstly, all samples were freeze-dried and homogenized by grinding. Each sample was divided into two shares, using for the pretreatment with and without acidification, respectively. One share was acidified by adding 1 mL of 0.5 mol/L HCl (or 1 mol/L HCl) to every 100 mg of samples. The acidified samples were dried at <60°C, then mixed with 1 mL Milli-Q waters and freeze-dried again. The freeze-dried samples were weighed into 5 mm×8 mm tin capsules, and the prepared capsules were used for the measurement of total organic carbon (TOC), total nitrogen (TNacidified) and stable nitrogen isotope (δ15Nacidified). The corrections for TOC and TNacidified values were performed because the weight of samples had increased after decarbonation (formation of CaCl2). The other sample share, using for non-acidification treatment, was weighed directly and placed into 5 mm×8 mm tin capsules for the measurement of total carbon (TC), total nitrogen (TNunacidified) and stable nitrogen isotope (δ15Nunacidified). Based on the results of TOC and TC, the CaCO3 contents were estimated using CaCO3=(TC– TOC)×8.33 (Stein et al., 1994; Schubert and Calvert, 2001).
The isotopic composition results are expressed relative to atmospheric N2 for δ15N. Replicate measurements of an acetanilide standard (Thermo Scientific) indicated that the δ15N analytical errors were less than 0.1‰. The total organic matter and total nitrogen weight data obtained as part of the stable isotope analyses. Replicate measurements of a certified reference material (Low Organic Content Soil, Elemental MicroAnalysis, UK) indicated relative errors of 0.025% and 0.002% for total organic carbon and total nitrogen, respectively.
We tested the differences of TN and δ15N values between non-acidified and acidified samples, using software SPSS 16.0 (t-test). The correlation between these differences and CaCO3 contents were analyzed respectively using SigmaPlot 12.0. The biases in TN and δ15N values after acidification were calculated, respectively, using the following equations:
$\Delta {\rm{N}}\left({{\rm{of}}\;{\rm{the}}\;{\rm{TN}}} \right) = \frac{{{\rm{T}}{{\rm{N}}_{{\rm{unacidified}}}} - {\rm{T}}{{\rm{N}}_{{\rm{acidified}}}}}}{{{\rm{T}}{{\rm{N}}_{{\rm{unacidifed}}}}}} \times {\rm{100, }}$
${\Delta ^{15}}{\rm{N}} = {\rm{\delta ^{15}}}{{\rm{N}}_{{\rm{unacidified}}}} - {\rm{\delta ^{15}}}{{\rm{N}}_{{\rm{acidified}}}}.$
The CaCO3 contents were approximately 20%–40% and 1%–16% for the sediments collected from the northwestern Australia and China’s seas, respectively (Table 1). Based on the CaCO3 contents of global marine sediments (Ridgwell and Hargreaves, 2007), the samples were divided into CaCO3-poor samples (CaCO3 contents <20%) and CaCO3-rich samples (CaCO3 contents >20%), respectively, for a comparison.
The results of paired-sample t-test indicated a significant difference in TN contents (P=0.000<0.01, 2-tailed) between the samples measured with and without acid treatment. For the non-acidified samples, TN contents ranged from 0.02%–0.19%, while this range reduced to 0.01%–0.16% for the acidified samples. About 99% non-acidified vs. acidified TN values are located below the ideal 1:1 relation, indicating that acidification resulted in the losses of nitrogen contents from the samples (Fig. 1a). In addition, losses of nitrogen contents were on average higher in CaCO3-rich samples compared to CaCO3-poor samples after acidification. About 0%–40% and 10%–60% of nitrogen contents were lost from non-acidified CaCO3-poor samples and CaCO3-rich samples, respectively (Fig. 2a). Moreover, our data suggest a statistically significant positive correlation between the losses of nitrogen contents and the CaCO3 contents (Fig. 2a). These findings partially agree with Lohse et al. (2000) and Fernandes and Krull (2008), who found a particularly high losses of nitrogen contents in CaCO3-rich (>30%) samples, up to 64% after acid treatment (Table 2), but no significant correlation between the loss of nitrogen contents and the CaCO3 contents.
The loss of nitrogen contents from acidified samples was observed in the present and previous studies, although the acidification methods were different (Table 2). In our study, we used an acid treatment with 0.5 mol/L or 1 mol/L HCl in glass tubes (Peng et al., 2015), which avoided the loss of acid-soluble organic matter and/or fine particles by rinsing process (rinse method) and intensive effervescence (in situ acidification). This indicates that volatilisation of nitrogen compounds seems to be the most reasonable explanation for our results, and further investigation is still need for the explanation of the mechanism. Previous studies have demonstrated that in the CaCO3-rich samples the fraction of proteinaceous compounds absorbed on carbonate surface layers became unstable with the increasing of acid addition, and this acid-soluble component was lost during carbonate dissolution (Fernandes and Krull, 2008). Meanwhile, this fraction of acid-soluble organic matter is greater in more calcareous sediments (Froelich, 1980). This may explain the higher losses observed in the CaCO3-rich samples compared to the CaCO3-poor samples.
Nitrogen isotope (δ15N) values of samples measured with and without acidification are shown in Fig. 1b. There have significant shifts in δ15N values between acidified and non-acidified samples, and these shifts have statistically significant positive correlation with the CaCO3 contents, indicating that losses of acid-soluble nitrogen compounds with different δ15N values (Fig. 2b). For CaCO3-poor sediments the measured δ15N values after acid treatment varied in the range of –1‰ to 6‰ (Fig. 1b). The shift of δ15N values of these samples after acidification (up to 3‰) is similar to the deviation (0‰–2‰) observed by Fernandes and Krull (2008) (Table 2). For CaCO3-rich samples about 40% of the measured δ15N values were significant negative after acidification (down to –9‰, Fig. 1b), and bias in δ15N values (up to 14‰) were remarkable compared to non-acidified samples (Fig. 2b). Schmidt and Gleixner (2005) also found some samples with unusual negative δ15N values (e.g., –4.24‰ for a podzol Sample 6) after acid treatment due to the accumulation of coal-derived products. However, it is really difficult to understand what cause such depletion for part of CaCO3-rich samples, since there is no rinse of the samples, which could trigger a loss of 15N-enriched compounds. Volatilisation of nitrogenous compounds like chloramine should lead to an enrichment of δ15N values not depletion.
In addition, our data suggest that isotopic shifts were not consistent for all samples (Fig. 2b). The depletion of δ15N values was observed in 95% samples after acid treatment reflecting the loss of 15N-enriched compounds such as protein and ammonium (Brodie et al., 2011a, b) (Fig. 2b). The loss of heavy isotope during acid treatment had previously been reported by other studies (Table 2). However, about 5% acidified samples (originating in CaCO3-poor sediments collected from the Bohai Sea) detected a 0‰–1‰ increase signature in δ15N values, suggesting the loss of 14N-enriched compounds. Harris et al. (2001) observed a small increase (0.04‰–0.11‰) in δ15N values of acidified soil samples following HCl fumigation. This contrasting shifts (depletion or enrichment) in δ15N values probably influenced by the organic matter composition and clay mineralogy of samples (Baldock and Skjemstad, 2000; Schubert and Calvert, 2001; Fernandes and Krull, 2008), but more work need to do to identify differences in acid-soluble compounds, inorganic nitrogen and mineralogy of samples containing different CaCO3 contents during acid treatment.
Our results suggest that the analysis of nitrogen contents and its isotopic composition should be measured on non-acidified whole sample, because acidification to remove carbonates in marine sediments leads to significant nitrogen losses through volatilisation and isotopic shifts, particularly for samples with high CaCO3 contents (>20%). Meanwhile, there was a statistically significant positive correlation between the CaCO3 contents and the biases in nitrogen contents and its isotopic composition after acid treatment (Fig. 2), indicating that the CaCO3 contents in the sample play an important role in determining what extent the nitrogen fraction may have been affected by acid treatment.
  • The National Natural Science Foundation of China under contract No. 41376121; the Strategic Priority Research Program of the Chinese Academy of Sciences under contract No. XDA11020405; the Natural Science Foundation of Shandong Province under contract No. JQ201414; the Program of Advanced Talents of The Guizhou University of Finance and Economics, 2016.
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doi: 10.1007/s13131-018-1188-2
  • Receive Date:2017-05-26
  • Online Date:2026-04-14
  • Published:2018-08-25
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  • Received:2017-05-26
  • Accepted:2017-08-30
Funding
The National Natural Science Foundation of China under contract No. 41376121; the Strategic Priority Research Program of the Chinese Academy of Sciences under contract No. XDA11020405; the Natural Science Foundation of Shandong Province under contract No. JQ201414; the Program of Advanced Talents of The Guizhou University of Finance and Economics, 2016.
Affiliations
    1 Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
    2 School of Management Science, Guizhou University of Finance and Economics, Guiyang 550000, China
    3 State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China
    4 Littoral, Environment et Sociétés, UMR 7266 CNRS-Université de La Rochelle, 2 rue Olympe de Gouges, La Rochelle 17000, France
    5 CSIRO Oceans and Atmosphere and University of Western Australia Oceans Institute, Indian Ocean Marine Research Centre, Crawley 6009, Australia

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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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