This paper reports the first results of a research developed in the context of the three-years (2013-16) research project “IC-FAR - Linking long term observatories with crop system modelling for better understanding of climate change impact and adaptation strategies for Italian cropping systems” (www.icfar.it).The goals are : i) to parameterize crop models considering two Long TermAgro-Ecosystem experiments (LTAE) located in experimental farms of Foggia (FG) and Papiano, Perugia (PG), in Southern and Central Italy, respectively and ii) to evaluate the crop residue (CR) management as a strategy of adaptation and/or mitigation to climate change forecasted for the reference areas of the LTEs in study. Climate scenarios were generated by setting up a statistical model using predictors from ERA40 reanalysis and seasonal indices of temperature and precipitation from E-OBS gridded data for the period 1958-2010. The statistical downscaling model was applied to CMCC-CM predictors to obtain climate projections at local scale over the period 1971-2000 and 2021-2050 (RCP4.5 and RCP8.5 emission scenarios)
Crop Residue Management as a Strategy of Adaptation and Mitigation to Climate Change / DomenicoVentrella, Luisa Giglio, Marco Bindi, Bruno Basso, Umberto Bonciarelli, Anna Dalla Marta, Francesco Danuso, Luca Doro, Roberto Ferrise, Francesco Fornaro, Pasquale Garofalo, Fabrizio Ginaldi, Ileana Iocola, Paolo Merante, Laura Mula, Andrea Onofri, Simone Orlandini, Massimiliano Pasqui, Rodica Tomozei, Giulia Villani, Alessandro Vittorio Vonella, Pier Paolo Roggero. - STAMPA. - (2017), pp. 89-89. ((Intervento presentato al convegno MACSUR Science Conference tenutosi a Berlin nel 22-24 May, 2017.
Crop Residue Management as a Strategy of Adaptation and Mitigation to Climate Change
Marco Bindi;Anna Dalla Marta;Roberto Ferrise;Paolo Merante;Simone Orlandini;
2017
Abstract
This paper reports the first results of a research developed in the context of the three-years (2013-16) research project “IC-FAR - Linking long term observatories with crop system modelling for better understanding of climate change impact and adaptation strategies for Italian cropping systems” (www.icfar.it).The goals are : i) to parameterize crop models considering two Long TermAgro-Ecosystem experiments (LTAE) located in experimental farms of Foggia (FG) and Papiano, Perugia (PG), in Southern and Central Italy, respectively and ii) to evaluate the crop residue (CR) management as a strategy of adaptation and/or mitigation to climate change forecasted for the reference areas of the LTEs in study. Climate scenarios were generated by setting up a statistical model using predictors from ERA40 reanalysis and seasonal indices of temperature and precipitation from E-OBS gridded data for the period 1958-2010. The statistical downscaling model was applied to CMCC-CM predictors to obtain climate projections at local scale over the period 1971-2000 and 2021-2050 (RCP4.5 and RCP8.5 emission scenarios)I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.