东北黑土不同组分有机碳的近红外光谱测定

不同颗粒组分的土壤有机碳(soil organic carbon,SOC)具有不同的化学组成且对不同农艺措施响应不同,因此了解其信息有助于深入理解SOC对土壤肥力的贡献。本研究旨在评价近红外光谱(near Infraredspectroscopy,NIRS)预测黑土不同颗粒组分SOC(水稳性团聚体结合碳、颗粒态有机碳及不同大小粒级有机碳)的潜力。土壤样品(n=136)采集于东北典型黑土带上,利用偏最小二乘法建立定量模型(n=100),并用独立样本对模型进行检验(n=36)。结果表明:NIRS可以在一定程度上预测水稳性团聚体结合碳含量(R2=0.69-0.82,RPD=1.2-1.8);对矿质结合态SOC(<53μm)(R2=0.97,RPD=5.4)及细粒级SOC(<20μm)(R2=0.93,RPD=3.8)预测结果较好,对颗粒态有机碳(>53μm)和粗粒级SOC(>20μm)预测结果不理想。NIRS在简化黑土不同颗粒组分SOC的测定,特别是矿质结合态(<53μm)SOC,具有很好的应用前景。

Prediction of soil organic carbon in different soil fractions of black soils in Northeast China using near-infrared reflectance spectroscopy

The soil organic carbon (SOC) associated with different soil fractions varies in the composition and dynamics. The present work is aimed to evaluate the potential of near infrared spectroscopy (NIRS) to predict SOC content in different soil fractions of black soils. SOC contents of 136 black soil samples in China were analyzed and the NIR spectra were collected using a VECTOR/22 (Fourier transform infrared spectroscopy). Partial least squares (PLS) regression with cross validation was used to develop calibrations between reference data and NIRS spectra (n = 100) which were validated using an independent set of samples (n = 36). Predictions for water-sieved aggregate associated organic carbon were generally good with R2 (coefficient of determination) ranging from 0.69 to 0.82 and the RPD (residual prediction deviation) from 1.2 to 1.8. NIRS well predicted the SOC in < 53 microm mineral fraction (R2 = 0.97, RPD = 5.4), but the prediction for SOC in 250-2 000 microm or in 53-250 microm particulate matter fractions was poor. However, the prediction for the SOC in 53-2 000 microm fraction was good (R2 = 0.79, RPD = 2.2). In addition, NIRS very well predicted the SOC in fine particle fraction (< 20 microm) (R2 = 0.93, RPD = 3.8). Accordingly, NIRS showed a good potential to predict SOC in some soil fractions and could reduce tedious laboratory analysis.