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Many studies on the impacts of soil management on Greenhouse Gases (GHG) emissions were carried out in the last years. However, field studies on GHG emissions in forage systems under semi-arid Mediterranean conditions are still limited. Modelling approaches are required for predicting the long term performances of Mediterranean grasslands under different environmental and management strategies, but so far very few attempts were made for these environments. The overall aim of the PhD dissertation was to analyse the processes and the management options that influence the soil C cycle and GHG emissions in two typologies of Mediterranean forage systems: extensively managed pastures and irrigated maize-based systems. Field experiments were carried out for both forage systems, while a modelling approach was undertaken only for the pastures. The PaSim model was assessed for its ability to simulate C exchanges in Mediterranean grasslands. A new model parameterization was derived for Mediterranean conditions from a set of ecophysiological parameters. The obtained results highlight the reliability of PaSim to simulate C cycle components in Mediterranean grasslands although some improvements are required. In the irrigated forage systems, soil GHG and the net Global Warming Potential were compared under different fertilization strategies, which showed contrasting impacts on GHG emissions, providing some insights on their different potential mitigation roles under Mediterranean conditions.

Scenario analysis of alternative management options on the forage production and greenhouse gas emissions in Mediterranean grasslands. 19th Meeting of the FAO-CIHEAM Mountain Pastures Network

The IC-FAR project (2013-2016), funded by the Italian ministry of University, Research and Education, aims to use datasets from 16 Italian long term agronomic experiments (LTEs) to assess the reliability of different cropping system models over a range of Mediterranean environments and cropping systems. The selected models will be used for scenario and uncertainty analyses vs near-future climate change. The LTEs are located in seven sites: Turin, Padua, Bologna, Ancona, Pisa, Perugia, Foggia. The project’s is linked to international projects such as MACSUR, AgMIP, ANAEE, ESFRI and GRA, and has model developer teams as associate partners. IC-FAR is structured in five WPs. WP1 is focused on building a common dataset and sampling protocols. The field data will be implemented in the WP2 to calibrate, validate and assess the performances of different models across Italian environments. An uncertainty analysis will be performed in relation to the model types, cropping system typologies and climate scenarios (WP3). WP4 and WP5 are focused on capacity building on modeling and on dissemination, including networking with other European LTE platforms (WP4), and to the project coordination (WP5).The next step of IC-FAR will be the design and realization of a special issue summarizing a selection of the most important results from the LTEs, that will be the starting point towards the full implementation of the data sharing policy of this project.