Articles | Volume 14, issue 13
https://doi.org/10.5194/bg-14-3253-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-3253-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Jul 2017
Research article |
| 10 Jul 2017
Modification of the RothC model to simulate soil C mineralization of exogenous organic matter
Claudio Mondini
CORRESPONDING AUTHOR
Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Branch Office of Gorizia, Via Trieste 23, 34170 Gorizia, Italy
Maria Luz Cayuela
Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), Department of Soil and Water Conservation and Waste Management,
Campus Universitario de Espinardo, Apartado de Correos 164, 30100 Espinardo, Murcia, Spain
Tania Sinicco
Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Branch Office of Gorizia, Via Trieste 23, 34170 Gorizia, Italy
Flavio Fornasier
Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Branch Office of Gorizia, Via Trieste 23, 34170 Gorizia, Italy
Antonia Galvez
Instituto Andaluz de Ciencias de la Tierra (CSIC-UGR), Avenida de las Palmeras 4, 18100 Armilla, Granada, Spain
Miguel Angel Sánchez-Monedero
Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), Department of Soil and Water Conservation and Waste Management,
Campus Universitario de Espinardo, Apartado de Correos 164, 30100 Espinardo, Murcia, Spain
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Short summary
Short summary
This article presents a modeling approach for mapping Above-Ground Biomass Density using remote sensing data. The model was trained with GEDI data and multisource datasets, employing a volumetric approach to estimate biomass in olive trees. The study provides a national-scale distribution of biomass density and quantifies the biomass stock in the olive orchard sector. Spain is the largest producer of olive orchard biomass in Europe, although it does not have the highest biomass yield density.
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Short summary
Current soil C models do not adequately describe the quality of the amendments added to fields. In this study, we propose a modification of the soil C model "RothC" that was found to be effective in simulating the response of laboratory-incubated soils treated with contrasting amendments. We think that these findings could help to develop better soil C models and improve predictions of the effects of different amendments on soil organic matter dynamics on agricultural and managed land.
Current soil C models do not adequately describe the quality of the amendments added to fields....
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