Graphical statistical approach to soil organic matter resilience using analytical pyrolysis data

10 páginas.-- 5 figuras.-- 2 tablas.-- 42 referenciasPyrolysis-gas chromatography-mass spectrometry (Py-GC-MS) of humic acids (HAs) from 30 agricultural soils from a volcanic island (Tenerife, Spain) was used to discern the molecular characteristics of soil organic matter (SOM) associated to resilience. For faster perceptual identification of the results, the yields of the pyrolysis products in the form of surface density plots were compared in an update of the Van Krevelen graphical statistical method. This approach, with respect to data reduction and visualization, was also used to collectively represent statistical indices that were obtained after simple and partial least squares (PLS) regression. The resulting plots illustrate different SOM structural domains (for example, carbohydrate- and lignin-derived and condensed lipid). The content of SOM and total mineralization coefficient (TMC) values can be well estimated from the relative abundance of 57 major pyrolysis compounds: SOM content and composition parallels the accumulation of lignin- and carbohydrate-derived structures (lignocellulosic material) and the depletion of condensed polyalkyl structures. In other words, in the volcanic ash soils that were studied, we found that the higher the amount of SOM, the lower its quality in terms of resilience. Although no cause-and-effect is inferred from this fact, it is evident that the resistance to biodegradation of the SOM is related to its molecular compositionFinancial support by Spanish MINECO projects (CGL2013-43845-P and FEDER co-financed CGL2016-78937-R INTERCARBON) is acknowledged. Marco A. Jiménez-González thanks the Spanish Ministry of Economy and Competitiveness (MINECO) for funding his pre-doctoral FPI fellowships (BES-2014-069238). The authors would like to thank the three anonymous reviewers for their helpful comments that greatly contributed to improving the final version of the articlePeer reviewe