Université Paul Cézanne Aix-Marseille 3, ISM2, UMR 6263, Equipe AD2EM, Chimie Analytique et Environnement, Europole de l'Arbois, Bâtiment Villemin BP 80, 13545 Aix-en-Provence Cedex 4, France.
Talanta. 2009 Nov 15;80(1):39-47. doi: 10.1016/j.talanta.2009.06.028. Epub 2009 Jun 17.
The assessment of physico-chemical properties in forest soils affected by fires was evaluated using near infrared reflectance (NIR) spectroscopy coupled with chemometric methods. In order to describe the soil properties, measurements were taken of the total organic carbon on solid phase, the total nitrogen content, the organic carbon and the specific absorbences at 254 and 280 nm of humic substances, organic carbon in humic and fulvic acids, concentrations of NH(4)(+), Ca(2+), Mg(2+), K(+) and phosphorus in addition to NIR spectra. Then, a fire recurrence index was defined and calculated according to the different fires extents affecting soils. This calculation includes the occurrence of fires as well as the time elapsed since the last fire. This study shows that NIR spectroscopy could be considered as a tool for soil monitoring, particularly for the quantitative prediction of the total organic carbon, total nitrogen content, organic carbon in humic substances, concentrations of phosphorus, Mg(2+), Ca(2+) and NH(4)(+) and humic substances UVSA(254). Further validation in this field is necessary however, to try and make successful predictions of K(+), organic carbon in humic and fulvic acids and the humic substances UVSA(280). Moreover, NIR coupled with PLS can also be useful to predict the fire recurrence index in order to determine the spatial variability. Also this method can be used to map more or less burned areas and possibly to apply adequate rehabilitation techniques, like soil litter reconstitution with organic enrichments (industrial composts) or reforestation. Finally, the proposed recurrence index can be considered representative of the state of the soils.
利用近红外反射光谱（NIR）结合化学计量学方法评估了受火灾影响的森林土壤的物理化学性质。为了描述土壤性质，对固相中的总有机碳、总氮含量、有机碳和腐殖物质在 254nm 和 280nm 处的特征吸光度、腐殖酸和富里酸中的有机碳、NH4(+)、Ca2+、Mg2+、K+和磷的浓度进行了测量。此外，还根据不同的火灾程度定义并计算了火灾复发指数。该计算包括火灾的发生以及上次火灾以来的时间流逝。本研究表明，近红外光谱可以作为土壤监测的工具，特别是用于总有机碳、总氮含量、腐殖物质中的有机碳、磷浓度、Mg2+、Ca2+和 NH4(+)和腐殖物质 UVSA(254)的定量预测。然而，在该领域还需要进一步验证，以尝试成功预测 K+、腐殖酸和富里酸中的有机碳以及腐殖物质 UVSA(280)。此外，NIR 与 PLS 结合也可用于预测火灾复发指数，以确定空间变异性。该方法还可用于绘制或多或少被烧毁的区域，并可能应用适当的修复技术，如用有机富化物（工业堆肥）或重新造林来恢复土壤覆盖。最后，所提出的复发指数可以被认为是土壤状态的代表。
