Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/174382
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Effect of climatic variability in the soil organic matter composition studied by analytical pyrolysis |
Autor: | Jiménez-González, Marco A. CSIC ORCID; Rosa Arranz, José M. de la; González-Pérez, José Antonio CSIC ORCID ; Álvarez, Ana María; Carral, Pilar; Almendros Martín, Gonzalo CSIC ORCID | Fecha de publicación: | oct-2018 | Editor: | Sociedad Española de Cromatografía y Técnicas Afines | Citación: | Book of abstracts XVIII Scientific Meeting of the Spanish Society of Chromatography and Related Tecniques – SECYTA 2018: 103-104 (2018) | Resumen: | In present days there is a growing concern about the progress of desertification in different areas of the world. The unsuitable management of the soils and the change of land use may increase the
desertification risk. On the other hand, desertification is typically associated with the decrease of soil organic matter (SOM) levels with the consequent loss of fertility in the soil. Presumably, all
these aspects are reflected in the molecular composition of SOM. Previous studies have evidenced that a correlation exists between the carbon sequestration efficiency and the relative abundance
of specific SOM constituents, e.g., alkane homologous series [1] or lignin-derived methoxyphenols [2]. This study aims to identify molecular descriptors of the SOM composition, which are
responsive for the impact of climate, quantified with bioclimatic indices defining a continuous gradient between wet and dry areas. A total of 33 soil samples were collected from different areas
of Spain. The studied soils presented a large variability in their chemical and physical properties, and were developed under different geological substrate and vegetation type. The sampling was
carried out in the topsoil (0–10 cm) where the SOM content is higher. In order to assess desertification levels we used the De Martonne aridity index. This index was calculated from the annual average rainfall and annual average temperature for each soil sampling point. The SOM was analyzed by pyrolysis - gas chromatography mass spectrometry (Py-GC/MS) of whole soil samples. A total of 193 pyrolysis compounds were identified, and used as predictor variables in Partial Least Squares (PLS) regression models forecasting the De Martonne aridity index. The results showed that a significant prediction of this index (R = 0.869) exclusively using the information provided by Py-GC/MS analysis of the corresponding soils is possible. A graphical-statistical method based in the classical
van Krevelen diagram was used for displaying the pyrolysis results [3], representing difference values between the proportions of the 193 pyrolysis products, calculated between average pyrograms
for soils in the uppermost quartile of the De Martonne index, and the average of those in the lower quartile. These values are shown as a scatterdiagram where the coordinates in the plane
of the individual molecules correspond to their H/C and O/C atomic ratios, calculated from their empirical formulas. The difference values between relative abundances were represented as a density map where the green colour indicates compounds predominant in the SOM of soils formed in sites with high De Martonne index, and the red colour indicate compounds predominant in soils with low index (i.e., comparatively dry ecosystems). The Student’s t (p > 90%) was also used to evaluate the significant differences between the proportions of compounds, and was represented as a superimposed contour diagram in the Figure [1] M.A. Jiménez-González, A.M. Álvarez, Z. Hernández, G. Almendros, Biology and Fertility of Soils 54 (2018) 617–629. [2] M.A. Jiménez-González, A.M. Álvarez, P. Carral, F.J. González-Vila, G. Almendros J. Chromatography A 1508 (2017) 130–137. [3] D.W. van Krevelen, Fuel 29 (1950) 269–284. |
Descripción: | Póster (P-EA-10) presentado en la XVIII Reunión de la Sociedad Española de Cromatografía y Técnicas Afines (SECyTA 2018), Granada, del 2 al 4 de Octubre de 2018. | URI: | http://hdl.handle.net/10261/174382 | ISBN: | 978-84-17293-61-1 |
Aparece en las colecciones: | (IRNAS) Libros y partes de libros (MNCN) Libros y partes de libros |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir | |
figura1 Jimnez-Gonzkezetal_effect_climatic.bmp | 1,46 MB | BMP | Visualizar/Abrir |
CORE Recommender
Page view(s)
277
checked on 18-mar-2024
Download(s)
52
checked on 18-mar-2024
Google ScholarTM
Check
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.