Simulation models, informed and validated with datasets from long term experiments (LTEs), are considered useful tools to explore the effects of different management strategies on soil organic carbon (SOC) dynamics and evaluate suitable mitigative options for climate change. But, while there are several studies which assessed a better prediction of crop yields using an ensemble of models, no studies are currently available on the evaluation of a model ensemble on SOC stocks. In this study we assessed the advantages of using an ensemble of crop models (APSIM-NWheat, DSSAT, EPIC, SALUS), calibrated and validated with datasets from LTEs, to estimate SOC dynamics. Then we used the mean of the model ensemble to assess the impacts of climate change on SOC stocks under conventional (CT) and conservation tillage practices (NT: No Till; RT: Reduced Tillage). The assessment was completed for two long-term experiment sites (Agugliano â AN and Pisa â PI2 sites) in Italy under rainfed conditions. A durum wheat (Triticum turgidum subsp. durum (Desf.) Husn.) â maize (Zea mays L.) rotation system was evaluated under two different climate scenarios over the periods 1971â2000 (CP: Present Climate) and 2021â2050 (CF: Future Climate), generated by setting up a statistical model based on canonical correlation analysis. Our study showed a decrease of SOC stocks in both sites and tillage systems over CF when compared with CP. At the AN site, CT lost â7.3% and NT â7.9% of SOC stock (0â40Â cm) under CF. At the PI2 site, CT lost â4.4% and RT â5.3% of SOC stocks (0â40Â cm). Even if conservation tillage systems were more impacted under future scenarios, they were still able to store more SOC than CT, so that these practices can be considered viable options to mitigate climate change. Furthermore, at the AN site, under CF, NT demonstrated an annual increase of 0.4%, the target value suggested by the 4 per thousand initiative launched at the 21st meeting of the Conference of the Parties in Paris. However, RT at the PI2 needs to be coupled with other management strategies, as the introduction of cover crops, to achieve such target.
Can conservation tillage mitigate climate change impacts in Mediterranean cereal systems? A soil organic carbon assessment using long term experiments / Iocola, Ileana; Bassu, Simona; Farina, Roberta; Antichi, Daniele; Basso, Bruno; Bindi, Marco; Dalla Marta, Anna; Danuso, Francesco; Doro, Luca; Ferrise, Roberto; Giglio, Luisa; Ginaldi, Fabrizio; Mazzoncini, Marco; Mula, Laura; Orsini, Roberto; Corti, Giuseppe; Pasqui, Massimiliano; Seddaiu, Giovanna; Tomozeiu, Rodica; Ventrella, Domenico; Villani, Giulia; Roggero, Pier Paolo. - In: EUROPEAN JOURNAL OF AGRONOMY. - ISSN 1161-0301. - 90:(2017), pp. 96-107. [10.1016/j.eja.2017.07.011]
Can conservation tillage mitigate climate change impacts in Mediterranean cereal systems? A soil organic carbon assessment using long term experiments
IOCOLA, Ileana;BASSU, Simona;DORO, Luca;MULA, Laura;SEDDAIU, Giovanna;ROGGERO, Pier Paolo
2017-01-01
Abstract
Simulation models, informed and validated with datasets from long term experiments (LTEs), are considered useful tools to explore the effects of different management strategies on soil organic carbon (SOC) dynamics and evaluate suitable mitigative options for climate change. But, while there are several studies which assessed a better prediction of crop yields using an ensemble of models, no studies are currently available on the evaluation of a model ensemble on SOC stocks. In this study we assessed the advantages of using an ensemble of crop models (APSIM-NWheat, DSSAT, EPIC, SALUS), calibrated and validated with datasets from LTEs, to estimate SOC dynamics. Then we used the mean of the model ensemble to assess the impacts of climate change on SOC stocks under conventional (CT) and conservation tillage practices (NT: No Till; RT: Reduced Tillage). The assessment was completed for two long-term experiment sites (Agugliano â AN and Pisa â PI2 sites) in Italy under rainfed conditions. A durum wheat (Triticum turgidum subsp. durum (Desf.) Husn.) â maize (Zea mays L.) rotation system was evaluated under two different climate scenarios over the periods 1971â2000 (CP: Present Climate) and 2021â2050 (CF: Future Climate), generated by setting up a statistical model based on canonical correlation analysis. Our study showed a decrease of SOC stocks in both sites and tillage systems over CF when compared with CP. At the AN site, CT lost â7.3% and NT â7.9% of SOC stock (0â40Â cm) under CF. At the PI2 site, CT lost â4.4% and RT â5.3% of SOC stocks (0â40Â cm). Even if conservation tillage systems were more impacted under future scenarios, they were still able to store more SOC than CT, so that these practices can be considered viable options to mitigate climate change. Furthermore, at the AN site, under CF, NT demonstrated an annual increase of 0.4%, the target value suggested by the 4 per thousand initiative launched at the 21st meeting of the Conference of the Parties in Paris. However, RT at the PI2 needs to be coupled with other management strategies, as the introduction of cover crops, to achieve such target.File | Dimensione | Formato | |
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