Near-infrared reflectance spectroscopy for the determination of lignin-derived compounds in the decomposed and humified litters of coniferous and deciduous temperate forests in Northern Kanto District, Central Japan
Near-infrared reflectance spectroscopy for the determination of lignin-derived compounds in the decomposed and humified litters of coniferous and deciduous temperate forests in Northern Kanto District, Central Japan
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DOI：
10.1111/j.1747-0765.2007.00239.x
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发表时间：
2008-04-01
影响因子：
2
通讯作者：
Hirai, Keizo
中科院分区：
文献类型：
--
作者：
Ono, Kenji;Miki, Kouji;Hirai, Keizo
测定腐解或腐殖化森林凋落物中木质素衍生化合物含量的方法往往涉及耗时的物理和化学分析。采用近红外反射光谱(NIR)和偏最小二乘(PLS)回归分析方法，建立了一种快速、准确地测定森林枯枝落叶层分解或腐殖化凋落物中木质素衍生化合物含量的方法。我们在日本中部关东北部的筑波试验场、田仓试验场和小川森林保护区三个地点制备了92个凋落物样品，并对其进行了定量和分光光度分析。利用定量和分光光度数据，通过偏最小二乘回归建立了测定这三个部位木质素衍生化合物的近红外方程。用来确定腐烂和腐殖化凋落物组成性质的近红外模型与以前发表的逐步多元线性回归研究结果相比，非常准确。我们相信，本研究中建立的近红外方程有可能适用于关东北部森林中富含有机质的表层土壤中土壤有机质(SOM)的测定，因为在组成范围和凋落物分解阶段差异很大的样品中，近红外光谱可以测定到木质素衍生化合物。
Methods to determine the contents of lignin-derived compounds in decomposed or humified forest litter often involve time-consuming physical and chemical analyses. In this study, a rapid and accurate method with minimal pre-treatments was developed to determine the contents of recalcitrant lignin-derived compounds in decomposed or humified litter on a forest floor using near-infrared reflectance spectroscopy (NIR) and partial least square (PLS) regression analysis. We prepared and quantitatively and spectrophotometrically analyzed 92 litter samples obtained in a litter decomposition experiment at three sites, the Tsukuba Experimental Site, the Tengakura Experimental Site and the Ogawa Forest Reserve, all of which are located in the northern Kanto District of central Japan. The NIR equations to determine the respective lignin-derived compounds at the three sites were developed by PLS regression using quantitative and spectrophotometrical data. The NIR models developed to determine the compositional properties of decomposed and humified litter were extremely accurate compared with the results of previous published studies using stepwise multiple linear regressions. We believe that the NIR equation developed in the present study has the potential to be applicable to qualifying the determination of soil organic matter (SOM) in the SOM-rich surface soil of the forests around the northern Kanto District because lignin-derived compounds can be determined by NIR in samples with a large diversity of compositional ranges and litter decomposition stages.