The stock of organic carbon contained within a soil represents the balance between inputs and losses. Inputs are defined by the ability of vegetation to capture and retain carbon dioxide, effects that management practices have on the proportion of captured carbon that is added to soil and the application organic amendments. The proportion of organic amendment carbon retained is defined by its rate of mineralisation. In this study, the rate of carbon mineralisation from 85 different potential soil organic amendments (composts, manures, plant residues and biosolids) was quantified under controlled environmental conditions over a 547 day incubation period. The composition of each organic amendment was quantified using nuclear magnetic resonance and mid- and near-infrared spectroscopies. Cumulative mineralisation of organic carbon from the amendments was fitted to a two-pool exponential model. Multivariate chemometric algorithms were derived to allow the size of the fast and slow cycling pools of carbon to be predicted from the acquired spectroscopic data. However, the fast and slow decomposition rate constants could not be predicted suggesting that prediction of the residence time of organic amendment carbon in soil would likely require additional information related to soil type, environmental conditions, and management practices in use at the site of application.

土壤中所含的有机碳储量代表投入与损失之间的平衡。投入的定义是植被捕获和保留二氧化碳的能力，管理实践对添加到土壤中的捕获碳的比例以及应用有机改良剂的影响。保留的有机改性碳的比例由其矿化速率确定。在这项研究中，在547天的温育期中，在受控的环境条件下对来自85种不同的潜在土壤有机改良剂（垃圾，肥料，植物残渣和生物固体）的碳矿化速率进行了定量。使用核磁共振以及中红外和近红外光谱法对每种有机修饰物的成分进行定量。修正案中有机碳的累积矿化作用适用于两池指数模型。推导了多变量化学计量学算法，以允许根据获取的光谱数据预测碳快速循环池和慢速循环池的大小。但是，无法预测快慢分解速率常数，这表明预测有机改性碳在土壤中的停留时间可能需要与土壤类型，环境条件和施用地点使用的管理措施有关的其他信息。