Mechanisms controlling soil organic carbon composition pertaining to microbial decomposition of biochemically contrasting organic residues: Evidence from midDRIFTS peak area analysis
Mechanisms controlling soil organic carbon composition pertaining to microbial decomposition of biochemically contrasting organic residues: Evidence from midDRIFTS peak area analysis
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DOI：
10.1016/j.soilbio.2014.05.006
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发表时间：
2014-09-01
影响因子：
9.7
通讯作者：
Rasche, Frank
中科院分区：
文献类型：
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作者：
Kunlanit, Benjapon;Vityakon, Patma;Rasche, Frank
我们使用midDRIFTS峰面积分析得出的机制，在桑迪土壤有机碳组成的修订与四个有机残留物。我们依赖于泰国东北部的一项田间实验，其中有机残留物的生化质量（g kg（-1））（稻草（RS，5个氮（N），29个木质素（L），7个多酚（PP），507个纤维素（CL）），花生秸秆（NH_3），试验从1995年开始，每年施用4种不同类型的番茄（GN，23 N，68 L，13 PP，178 CL）、龙脑香果（DP，6 N，176 L，65 PP，306 CL）和罗望子（TM，14 N，88 L，32 PP，143 CL）。在第13年（2008年）结束时，获得了大量土壤（0-15厘米）的样本，以评估残留物输入对SOC组成的长期影响。此外，短期微生物分解的垃圾袋中相同的残留物进行了评估，在26周的时间内的时间间隔相关的生化质量的分解残留物的SOC组成在散装土壤。对所有样品进行midDRIFTS峰面积分析以分类最突出的不稳定和稳定有机官能团的丰度（“低”对“高”）。光谱信息用于检查四种机制（即，物理-化学保护、C损失、调节N效应和SOC稳定化）。基于已建立的根据残留物的N、L和PP含量对残留物进行分类的方法，制定了残留物分解的概念模型，我们通过添加CL含量并修改这四种生化性质的阈值水平来扩展该方法。有机碳组成的机械评价与有机残留物质量控制的分解的概念模型相结合，为微生物介导的有机碳稳定和组成的调节提供了更深入的见解。我们的结论是，这种方法将有重要的影响，土壤有机质管理的目的是提供氮和螯合碳在桑迪土壤。(C)2014爱思唯尔有限公司版权所有。
We used midDRIFTS peak area analysis to derive mechanisms underlying SOC composition in a sandy soil amended with four organic residues. We relied on a field experiment in Northeast Thailand where organic residues of contrasting biochemical quality (g kg(-1)) (rice straw (RS, 5 nitrogen (N), 29 lignin (L), 7 polyphenols (PP), 507 cellulose (CL)), groundnut stover (GN, 23 N, 68 L, 13 PP, 178 CL), dipterocarp (DP, 6 N, 176 L, 65 PP, 306 CL) and tamarind (TM, 14 N, 88 L, 32 PP, 143 CL) were applied yearly since the experiment started in 1995. At the end of year 13 (2008), samples of the bulk soil (0-15 cm) were obtained to evaluate the long-term effect of residue inputs on SOC composition. In addition, short-term microbial decomposition of the same residues in litter bags was assessed at intervals during a 26 week period to relate the biochemical quality of decomposing residues to SOC composition in bulk soils. All samples were subjected to midDRIFTS peak area analysis to categorize the abundance ("low" versus "high") of the most prominent labile and stable organic functional groups. The spectral information was used to examine four mechanisms (i.e., physico-chemical protection, C loss, regulatory N effect and SOC stabilization) that are responsible for SOC composition. A conceptual model for residue decomposition was formulated based on an established approach to classifying residues according to their N, L and PP contents, which we extended by adding the CL content and modifying the threshold levels of these four biochemical properties. Combining mechanistic evaluation of SOC composition together with the conceptual model of decomposition controlled by organic residue quality provided deeper insights into the microbially mediated regulation of SOC stabilization and composition. We conclude that this approach will have important implications for soil organic matter management aimed at supplying N and sequestering C in sandy soils. (C) 2014 Elsevier Ltd. All rights reserved.