Near‐infrared spectroscopy for rapid estimation of microbial properties in reclaimed mine soils
Near‐infrared spectroscopy for rapid estimation of microbial properties in reclaimed mine soils
复制标题
近红外光谱法用于快速估计复垦矿井土壤中的微生物特性
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
M. Chodak
中科院分区：
文献类型：
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作者：
M. Chodak
为了全面评估复垦成功，需要对矿山土壤的几个化学和微生物特性进行测量。本研究的目的是评价近红外光谱技术预测退耕还林土壤有机碳(Corg)、全氮(Nt)和几种微生物特性的能力。在波兰中部和S的两个垦区采集了154个土壤样品，记录了它们在近红外区域(包括400-2500 nm的可见光范围)的光谱。一半的样本用于建立校准方程，另一半用于验证。利用全光谱(0~2阶导数)，采用改进的偏最小二乘回归建立校正方程。验证阶段的标准差与预测标准差之比[RPD]分别为3.4和4.1；线性回归回归系数[a]分别为0.94和0.96；相关系数[r]分别为0.96和0.97。对微生物生物量、基础呼吸、脱氢酶和酸性磷酸酶的活性也得到了很好的定量预测模型(RPD=2.3-2.5，a=0.90-0.99，r=0.90-0.92)。对尿素酶活力的预测略差(RPD=2.1，a=0.88，r=0.87)，但足以进行粗略估计。研究结果表明，近红外光谱分析技术具有预测复杂土壤微生物特性的能力。因此，该分析方法的应用可以提高复垦后荒地微生物功能恢复的评价水平。
Several chemical and microbial properties of mine soils need to be measured for comprehensive assessment of the reclamation success. The objective of this study was to evaluate the ability of NIR spectroscopy to predict organic C (Corg), total N (Nt), and several microbial properties of mine soils reclaimed for forestry. Soils samples (n = 154) were collected at two reclaimed areas in central and S Poland, and their spectra in the NIR region (including the visible range, 400–2500 nm) were recorded. A half of the samples was used to develop calibration equations, and another half was used for validation. The modified partial least squares regression was applied to build calibration equations using the whole spectrum (0 to 2nd derivative). The best predictions were obtained for Corg and Nt (ratio of standard deviation to standard error of prediction in the validation stage [RPD] = 3.4 and 4.1; the regressions coefficients [a] of linear regression [measured against predicted values] = 0.94 and 0.96; correlation coefficients [r] = 0.96 and 0.97, respectively). Very well predictive models applicable for quantitative measurements were obtained also for microbial biomass, basal respiration, and the activities of dehydrogenase and acid phosphatase (RPD = 2.3–2.5, a = 0.90–0.99, r = 0.90–0.92). Prediction of urease activity was slightly worse (RPD = 2.1, a = 0.88, r = 0.87) but sufficient for rough estimation. The obtained results indicated the ability of NIR spectroscopy to predict complex soil microbial properties. Therefore, application of this analytical method may improve the assessment of recovery of microbial functions in reclaimed post-mining barrens.
影响因子：
9.7
作者：
Zornoza, R.;Guerrero, C.;Mataix-Solera, J.;Scow, K. M.;Arcenegui, V.;Mataix-Beneyto, J.
通讯作者：
Mataix-Beneyto, J.