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首页> 外文期刊>Journal of near infrared spectroscopy >Near infrared reflectance spectroscopy applied to model the transformation of added organic materials in soil
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Near infrared reflectance spectroscopy applied to model the transformation of added organic materials in soil

机译：近红外反射光谱法用于模拟土壤中添加的有机物的转化

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摘要

Raw, mixed and composted organic materials (OM) from agricultural and urban wastes were subjected to biochemical analyses, near infrared (NIR) reflectance spectroscopy and laboratory incubations. Respiration during incubations was accurately predicted using a decomposition model [transformation of added organic materials, (TAO)] of very labile, intermediary resistant, and stable OM fractions. Calibrations using NIR spectra were developed to determine the very labile and stable fractions of OM used to predict three-month OM mineralisation in soil. This study has confirmed that OM decomposition is mainly driven by OM quality on a short-term basis. The wavelengths contributing heavily to the prediction of very labile and stable OM components and molecular functions of these fractions were identified. The resulting TAO-NIR spectroscopy model is an efficient tool to study the degradation of natural molecules and its management for plant growth and sustainability of ecosystems. As a sub-model of a more complex C cycle model, it can instantaneously simulate labile and stable fractions of various organic inputs in soil and, as a non-destructive and easily portable spectroscopic method, could be used to assess C dynamics on a regional scale.
机译：对来自农业和城市废物的原始，混合和堆肥有机材料（OM）进行了生化分析，近红外（NIR）反射光谱和实验室培养。使用非常不稳定，具有中间抗性和稳定的OM组分的分解模型[添加有机物的转化（TAO）]可以准确预测孵育过程中的呼吸作用。已开发出使用NIR光谱进行校准的方法，以确定用于预测土壤中三个月OM矿化的OM的非常不稳定和稳定的比例。这项研究已经证实，OM分解在短期内主要由OM质量驱动。确定了对非常不稳定和稳定的OM组分以及这些组分的分子功能的预测有重要贡献的波长。所得的TAO-NIR光谱模型是研究天然分子降解及其对植物生长和生态系统可持续性的管理的有效工具。作为更复杂的C循环模型的子模型，它可以立即模拟土壤中各种有机输入的不稳定组分和稳定组分，并且作为一种非破坏性且易于携带的光谱方法，可以用于评估区域内的C动力学。规模。

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