Original Research ARTICLE
Soil C storage potential of exogenous organic matter at regional level (Italy) under climate change simulated by RothC model modified for amended soils
- 1Branch of Gorizia, Research Centre of Viticulture and Oenology (CREA), Italy
- 2Department of Soil and Water Conservation and Waste Management, Centro de Edafología y Biología Aplicada del Segura (CEBAS), Spain
- 3Instituto Andaluz de Ciencias de la Tierra, CSIC-UGR, Spain
Soil amendment with exogenous organic matter (EOM) represents an effective option for sustainable management of organic residues and enhancement of soil organic C (SOC) content. Optimization of soil amendment is hampered by the high variability in EOM quality and pedoclimatic conditions. A possible solution to this problem could be represented by spatially explicit soil C modelling.
The aim of this study was the evaluation at regional level of the long term C storage potential of EOM added to the soil under climate change by using a modified version of the RothC specifically developed for C simulation in amended soil.
To achieve this goal a spatially explicit version of the modified RothC model was deployed to assess at a national scale the potential for C storage of agricultural soils amended with different EOMs.
Long term model simulations of continuous amendment (100 years) indicated that EOMs greatly differ for their soil C sequestration potential (range 0.110 - 0.385 t C ha-1 y-1), mainly depending to their degree of stabilization.
Spatial explicit modelling of amended soil, taking into account the different combinations of EOMs and application sites, indicated a high variability in the potential of SOC accumulation at the national level (range: 0.06 - 0.62 t C ha-1 y-1). EOM quality showed a larger impact on long term SOC accumulation than variability in pedoclimatic conditions. Model simulations predicted that the contribution of soil amendment in tackling greenhouse gas (GHG) emissions is limited: soil C sequestration potential of compost applied to all Italian agricultural land corresponded to 5.3% of the total annual GHG emissions in Italy. Large scale modelling enables areas with the largest potential for EOM accumulation to be identified, therefore suggesting ways for optimizing resources.
Result suggests that reliable C modelling in amended soil requires modification and optimization of actual models to accommodate the different quality of EOMs applied to the soil.
The spatially explicit version of the modified RothC model improves the predictive power of SOC modelling at regional scale in amended soils, because it takes into account, besides variability in pedoclimatic conditions, the large differences in EOMs quality.
Keywords: organic residues, soil organic matter, soil C sequestration, Soil C models, regional modelling, RothC model
Received: 14 Aug 2018;
Accepted: 08 Nov 2018.
Edited by:Dionisios Gasparatos, Aristotle University of Thessaloniki, Greece
Reviewed by:Fotis Bilias, Aristotle University of Thessaloniki, Greece
Orestis E. Kairis, Agricultural University of Athens, Greece
Copyright: © 2018 Mondini, Cayuela, Sinicco, Fornasier, Galvez and Sanchez-Monedero. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Claudio Mondini, Research Centre of Viticulture and Oenology (CREA), Branch of Gorizia, Conegliano, Italy, firstname.lastname@example.org