Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.
Estimating soil organic carbon in agricultural gypsiferous soils by diffuse reflectance spectroscopy
Entity
UAM. Departamento de Geología y GeoquímicaPublisher
M D P I AGDate
2020-01-01Citation
10.3390/w12010261
Water 12.1 (2020): 261
ISSN
2073-4441DOI
10.3390/w12010261Funded by
This research was funded by regional and national funding projects AGRISOST-CM (S2013/ABI-2717); FP12-CVO; ACCION Project, GO-LEÑOSOSTProject
Gobierno de España. S2013/ABI-2717Editor's Version
https://doi.org/10.3390/w12010261Subjects
Desertification; Erosion; Olive orchards; Spain; VIS/NIR spectrometry; GeologíaRights
© 2020 by the authorsAbstract
Contents of soil organic carbon (SOC), gypsum, CaCO3, and quartz, among others, were analyzed and related to reflectance features in visible and near-infrared (VIS/NIR) range, using partial least square regression (PLSR) in ParLes software. Soil samples come from a sloping olive grove managed by frequent tillage in a gypsiferous area of Central Spain. Samples were collected in three different layers, at 0-10, 10-20 and 20-30 cm depth (IPCC guidelines for Greenhouse Gas Inventories Programme in 2006). Analyses were performed by C Loss-On-Ignition, X-ray diffraction and water content by the Richards plates method. Significant differences for SOC, gypsum, and CaCO3 were found between layers; similarly, soil reflectance for 30 cm depth layers was higher. The resulting PLSR models (60 samples for calibration and 30 independent samples for validation) yielded good predictions for SOC (R2 = 0.74), moderate prediction ability for gypsum and were not accurate for the rest of rest of soil components. Importantly, SOC content was related to water available capacity. Soils with high reflectance features held c.a. 40% less water than soils with less reflectance. Therefore, higher reflectance can be related to degradation in gypsiferous soil. The starting point of soil degradation and further evolution could be established and mapped through remote sensing techniques for policy decision making
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Google Scholar:Marqués Pérez, María José
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Álvarez, Ana María
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Carral González, Pilar
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Esparza, Iris
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Sastre, Blanca
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Bienes, Ramón
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