Jiménez-González Marco A, Álvarez Ana M, Carral Pilar, Almendros Gonzalo
Museo Nacional de Ciencias Naturales (MNCN-CSIC), c/Serrano 115-B, 28006 Madrid, Spain; Universidad Autónoma de Madrid (UAM), c/Francisco Tomás y Valiente 7, 28049 Madrid, Spain.
Universidad Autónoma de Madrid (UAM), c/Francisco Tomás y Valiente 7, 28049 Madrid, Spain.
Sci Total Environ. 2019 Oct 1;685:1160-1168. doi: 10.1016/j.scitotenv.2019.06.231. Epub 2019 Jun 17.
The knowledge of biogeochemical mechanisms involved in soil organic carbon (SOC) storage is crucial to control its release to the atmosphere. In particular, the chemical composition of soil organic matter (SOM) plays an important role in the performance of the C storage and resilience in soils. The structural information provided by infrared spectroscopy (IR) of soil humic acid (HA) was used in the assessment of the C storage potential of 35 Spanish soils. Partial least squares (PLS) regression using the intensities of the points of the IR spectra of the HAs (4000-400 cm) as descriptors shows that a relationship exists between IR spectral pattern and the SOC content. This was also the case for E4 (humification index based on HA optical density at 465 nm). In addition, the chemical characteristics of the HAs correlated with the SOC levels were identified from digital data treatments of the IR spectra. Additional application of principal component analysis (PCA) and multidimensional scaling (MDS) suggested that bands assigned to carboxyl and amide structures were characteristic in HAs from soils with low C content, whereas HA spectra from soils with high C levels showed a conspicuous band pattern suggesting structural units of lignin from slightly transformed plant residues. The spectral profiles were analyzed in detail by an approach based on digital subtraction of IR spectra obtained by averaging those from HAs extracted from soils in the upper and lower quartiles of the SOC distribution. The results showed that significant relationships exist between the molecular composition of HAs and SOC levels and E4 values in a way in which aromatic, carboxyl and amide groups were predominant in HAs from soils with low SOC content, whereas lignin-derived structures were more characteristic of HAs from soils with high SOC content.
了解土壤有机碳(SOC)储存所涉及的生物地球化学机制对于控制其向大气中的释放至关重要。特别是,土壤有机质(SOM)的化学成分在土壤碳储存性能和恢复力方面起着重要作用。利用土壤腐殖酸(HA)的红外光谱(IR)提供的结构信息来评估35种西班牙土壤的碳储存潜力。使用HA的红外光谱(4000 - 400 cm)各点强度作为描述符的偏最小二乘(PLS)回归表明,红外光谱模式与SOC含量之间存在关系。基于HA在465 nm处光密度的腐殖化指数E4也是如此。此外,通过对红外光谱的数字数据处理,确定了与SOC水平相关的HA的化学特征。主成分分析(PCA)和多维缩放(MDS)的进一步应用表明,分配给羧基和酰胺结构的谱带在低C含量土壤的HA中具有特征性,而高C水平土壤的HA光谱显示出明显的谱带模式,表明来自轻微转化植物残体的木质素结构单元。通过一种基于对SOC分布上下四分位数土壤中提取的HA的红外光谱进行平均后得到的红外光谱数字相减的方法,对光谱轮廓进行了详细分析。结果表明,HA的分子组成与SOC水平和E4值之间存在显著关系,即低SOC含量土壤的HA中芳香族、羧基和酰胺基团占主导地位,而高SOC含量土壤的HA中木质素衍生结构更具特征性。