Near infrared spectroscopy for determination of various physical, chemical and biochemical properties in Mediterranean soils.

Near infrared spectroscopy for determination of various physical, chemical and biochemical properties in Mediterranean soils.
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DOI:
10.1016/j.soilbio.2008.04.003
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发表时间:
2008-07
影响因子:
9.7
通讯作者:
Mataix-Beneyto, J.
Mataix-Beneyto, J.
中科院分区:
农林科学1区
文献类型:
--
作者:
Zornoza, R.;Guerrero, C.;Mataix-Solera, J.;Scow, K. M.;Arcenegui, V.;Mataix-Beneyto, J.

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评估了近红外 (NIR) 反射光谱预测西班牙东南部地中海土壤的各种物理、化学和生化特性的潜力。土壤样本(n=393)是通过三年(2003-2005 年期间)期间对 13 个地点进行采样而获得的。由于土地利用、植被覆盖和特定气候条件的变化,这些样本具有广泛的土壤特征。生化特性还包括基于磷脂脂肪酸 (PLFA) 的微生物生物标志物。使用带有交叉验证的偏最小二乘 (PLS) 回归来建立近红外光谱与物理、化学和生化分析的参考数据之间的关系。根据确定系数(r2)值和验证集标准差与交叉验证均方根误差(RPD)的比值,对土壤有机碳、凯氏氮、土壤水分、阳离子交换能力、微生物量碳、基础土壤呼吸、酸性磷酸酶活性的预测结果评价为优秀(r2>0.90且RPD>3), 总细菌、革兰氏阳性菌、放线菌、囊泡-丛枝菌根真菌和总 PLFA 生物量的 β-葡萄糖苷酶活性和 PLFA 生物标志物。对于可交换钙和镁、水溶性碳、保水能力和脲酶活性获得了良好的预测(0.81<r2<0.90 和 2.5<RPD<3)。原生动物和真菌的最终模型不够准确,无法令人满意地估计这些变量,只能进行近似预测(0.66<r2<0.80 和 2.0<RPD<2.5)。电导率、pH、交换性磷和钠、代谢商和革兰氏阴性菌的预测较差(r2<0.66 和 RPD<2)。因此,本研究获得的结果表明,近红外反射光谱可以作为一种快速、廉价和非破坏性的技术来预测地中海土壤的一些物理、化学和生化土壤特性,包括与土壤微生物群落组成相关的变量。
The potential of near infrared (NIR) reflectance spectroscopy to predict various physical, chemical and biochemical properties in Mediterranean soils from SE Spain was evaluated. Soil samples (n=393) were obtained by sampling thirteen locations during three years (2003-2005 period). These samples had a wide range of soil characteristics due to variations in land use, vegetation cover and specific climatic conditions. Biochemical properties also included microbial biomarkers based on phospholipid fatty acids (PLFA). Partial least squares (PLS) regression with cross validation was used to establish relationships between the NIR spectra and the reference data from physical, chemical and biochemical analyses. Based on the values of coefficient of determination (r2) and the ratio of standard deviation of validation set to root mean square error of cross validation (RPD), predicted results were evaluated as excellent (r2>0.90 and RPD>3) for soil organic carbon, Kjeldahl nitrogen, soil moisture, cation exchange capacity, microbial biomass carbon, basal soil respiration, acid phosphatase activity, β-glucosidase activity and PLFA biomarkers for total bacteria, Gram positive bacteria, actinomycetes, vesicular-arbuscular mycorrhizal fungi and total PLFA biomass. Good predictions (0.81<r2<0.90 and 2.5<RPD<3) were obtained for exchangeable calcium and magnesium, water soluble carbon, water holding capacity and urease activity. Resultant models for protozoa and fungi were not accurate enough to satisfactorily estimate these variables, only permitting approximate predictions (0.66<r2<0.80 and 2.0<RPD<2.5). Electrical conductivity, pH, exchangeable phosphorus and sodium, metabolic quotient and Gram negative bacteria were poorly predicted (r2<0.66 and RPD<2). Thus, the results obtained in this study reflect that NIR reflectance spectroscopy could be used as a rapid, inexpensive and non-destructive technique to predict some physical, chemical and biochemical soil properties for Mediterranean soils, including variables related to the composition of the soil microbial community composition.
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影响因子: 2
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期刊: PLANT AND SOIL
影响因子: 4.9
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