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首页> 外文期刊>Soil Biology & Biochemistry >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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Mechanisms controlling soil organic carbon composition pertaining to microbial decomposition of biochemically contrasting organic residues: Evidence from midDRIFTS peak area analysis

机译：控制与生化对比有机残留物的微生物分解有关的土壤有机碳组成的机制：midDRIFTS峰面积分析的证据

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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.
机译：我们使用midDRIFTS峰面积分析得出了含四个有机残留物的沙质土壤中SOC组成的潜在机理。我们依靠泰国东北部的田间试验，在该试验中，生化质量不同的有机残留物（g kg（-1））（稻草（RS，5氮（N），29木质素（L），7多酚（PP），507纤维素） （CL）），花生秸秆（GN，23 N，68 L，13 PP，178 CL），双果皮（DP，6 N，176 L，65 PP，306 CL）和罗望子树（TM，14 N，88 L，自1995年实验开始以来，每年施用32 PP，143 CL）。在第13年（2008年）结束时，获得了散装土壤样品（0-15厘米），以评估残留物输入对土壤长期影响。 SOC组成此外，在26周的时间间隔内对垃圾袋中相同残留物的短期微生物分解进行了评估，以将分解残留物的生化质量与散装土壤中的SOC成分相关联，所有样品均处于DRIFTS中峰区域分析以对最突出的不稳定和稳定的有机官能团的丰度（“低”与“高”）进行分类。找出负责SOC组成的四种机制（即物理化学保护，碳损失，调节性N效应和SO​​C稳定）。根据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含量和修改这四个生化特性的阈值水平来扩展残留物。将SOC组成的机械评估与受有机残留物质量控制的分解概念模型结合在一起，可以更深入地了解微生物介导的SOC稳定和组成调节。我们得出的结论是，这种方法将对土壤有机物的管理产生重要的影响，目的是在沙质土壤中提供氮和隔离碳。 （C）2014 Elsevier Ltd.保留所有权利。

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