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Studying the physical protection of soil carbon with quantitative infrared spectroscopy

机译:定量红外光谱法研究土壤碳的物理保护

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Near infrared (NIR) and mid-infrared (mid-IR) reflectance spectroscopy are time- and cost-effective tools for characterising soil organic carbon (SOC). Here they were used for quantifying (i) carbon (C) dioxide (CO2) emission from soil samples crushed to 2 mm and 0.2 mm, at 18 degrees C and 28 degrees C; (ii) physical C protection, calculated as the difference between CO2 emissions from 0.2 mm and 2 mm crushed soil at a given temperature; and (iii) the temperature vulnerability of this protection, calculated as the difference between C protection at 18 degrees C and 28 degrees C. This was done for 97 topsoil samples from Tunisia, mostly calcareous, which were incubated for 21 days. Soil CO2 emission increased with temperature and fine crushing. However, C protection in 0.2-2 mm aggregates had little effect on the temperature vulnerability of CO2 emission, possibly due to preferential SOC protection in smaller aggregates. In general, NIR spectroscopy, and to a lesser extent mid-IR spectroscopy, yielded accurate predictions of soil CO2 emission (0.60 <= R-2 <= 0.91), and acceptable predictions of C protection at the beginning of incubation (0.52 <= R-2 <= 0.81) but not over the whole 21 day period (R-2 <= 0.59). For CO2 emission, prediction error was the same order of magnitude as, and sometimes similar to, the uncertainty of conventional determination, indicating that a noticeable proportion of the former could be attributed to the latter. The temperature vulnerability of C protection could not be modelled correctly (R-2 <= 0.11), due to error propagation. The prediction of SOC was better with NIR spectroscopy and that of soil inorganic C (SIC) was very accurate (R-2 >= 0.94), especially with mid-IR spectroscopy. Soil CO2 emission, C protection and its vulnerability were best predicted with NIR spectra, those of 0.2 mm samples especially. Mid-IR spectroscopy of 2 mm samples yielded the worst predictions in general. NIR spectroscopy prediction models suggested that CO2 emission and C protection depended (i) on aliphatic compounds (i.e. labile substrates), dominantly at 18 degrees C; (ii) on amides or proteins (i.e. microbial biomass), markedly at 28 degrees C; and (iii) negatively, on organohalogens and aromatic amines (i.e. pesticides). Models using mid-IR spectra showed a negative influence of carbonates on CO2 emission, suggesting they did not contribute to soil CO2 emission and might form during incubation. They also suggested that CO2 emission and C protection related to carboxylic acids, saturated aliphatic ones especially.
机译:近红外(NIR)和中红外(mid-IR)反射光谱是表征土壤有机碳(SOC)的既省时又经济的工具。在这里,它们被用来量化(i)在18摄氏度和28摄氏度下粉碎至2毫米和0.2毫米的土壤样品中的二氧化碳(C)排放。 (ii)物理碳保护,计算为在给定温度下0.2毫米和2毫米压碎土壤的二氧化碳排放量之差; (iii)以18摄氏度和28摄氏度的C保护温度之差计算得出的这种保护的温度脆弱性。对来自突尼斯的97个表土样品(大部分为钙质)进行了21天的培养。土壤CO2排放随温度和精细粉碎而增加。但是,0.2-2 mm骨料中的碳保护对CO2排放的温度脆弱性影响很小,这可能是由于较小骨料中的优先SOC保护所致。通常,NIR光谱和较小范围的中红外光谱可准确预测土壤CO2排放(0.60 <= R-2 <= 0.91),并在培养开始时提供可接受的碳保护预测(0.52 <= R-2 <= 0.81),但不在整个21天期间内(R-2 <= 0.59)。对于CO2排放,预测误差与常规测定的不确定性处于相同数量级,有时甚至与之相似,这表明前者的显着比例可归因于后者。由于误差传播,无法正确建模C保护的温度脆弱性(R-2 <= 0.11)。 NIR光谱对SOC的预测更好,土壤无机碳(SIC)的预测非常准确(R-2> = 0.94),尤其是中红外光谱。用NIR光谱可以最好地预测土壤CO2的排放,碳保护及其脆弱性,尤其是0.2 mm样品。通常,对2 mm样品的中红外光谱进行最差的预测。 NIR光谱预测模型表明,CO2排放和碳保护取决于(i)主要在18摄氏度时取决于脂族化合物(即不稳定的底物); (ii)显着在28摄氏度时在酰胺或蛋白质(即微生物生物质)上; (iii)对有机卤素和芳香胺(即农药)有不利影响。使用中红外光谱的模型显示出碳酸盐对CO2排放的负面影响,表明它们对土壤CO2排放没有贡献,可能在培养过程中形成。他们还认为,CO 2排放和碳保护与羧酸有关,尤其是饱和脂族羧酸。

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