National Research Council (CNR)

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The team will constituted by Marco Moriondo (senior researcher, expert in crop modelling, climate changes impacts/adaptation/mitigation on agriculture), Camilla Dibari (researcher, expert in GIS, statistical model expert, climate change impacts, stakeholder engagement), Paolo Merante (researcher, sustainable agriculture and environmental indicators).
The team has been long engaged in several national and international research projects (MACSUR, Models4Pastures, SmartSOIL, CARBOTREES, CIRCE, MEDIATION, ENSEMBLES, ADAM, PICCMAT, AG2020, CLARINO, QUACOM, AGER, FloViTur, SVAPPAS, CASET, CN-MIP) to investigate climate change impacts on agricultural and natural systems including ecosystem vulnerabilities for adopting feasible adaptation and mitigation strategies. In particular, CNR team activities have been mainly addressed on the main perennial (olive and vineyard) and annual crops (durum and bread wheat) of Mediterranean basin as well as natural forestry and pastoral systems characterizing the region. CNR team expertise concerns also the collection, processing and interpolation of meteorological data as well as the analysis of meteorological time series, and the development of high resolution synthetic weather data scenarios. Moreover, the group has an extensive expertise in the study of the interactions between pathogens/diseases and species of agricultural interest and has also implemented a system for the monitoring of crops phenological development. Finally, the group is actually involved in activities concerning GHG emissions monitoring over Tuscan forestry and agricultural systems. The group thus gained relevant skills in using the most advanced and innovative tools and approaches (e.g. crop simulation models, statistical classification models, global and regional circulation models, weather generators, geographical information systems, and remote sensing technologies) to monitor, reproduce and predict the response of the agro-systems to the climatic and environmental factors (e.g. climate, soil, crop management, etc.).
Besides project coordination, the main tasks of CNR will concern data collection and harmonization, climate scenarios downscaling, statistical classification models, global and regional circulation models, weather generators, GIS, and remote sensing technologies to monitor, reproduce and predict the response of the olive trees agro-ecosystems to the climatic and environmental factors (e.g. climate, soil, crop management, etc.).
LITERATURE
● Moriondo, M., Ferrise, R., Trombi, G., Brilli, L., Dibari, C., & Bindi, M.
Modelling olive trees and grapevines in a changing climate
Environmental Modelling & Software (xxx), 1-15 (2015)
doi:10.1016/j.envsoft.2014.12.016
● Moriondo, M., Trombi, G., Ferrise, R., Brandani, G., Dibari, C., Ammann, C. M., Bindi, M.
Olive trees as bio‐indicators of climate evolution in the Mediterranean Basin Global Ecology and Biogeography (22(7)), 818-833 (2013)
DOI: 10.1111/geb.12061
● Brilli, L., Chiesi, M., Maselli, F., Moriondo, M., Gioli, B., Toscano, P., Zaldei, A., Bindi, M.
Simulation of olive grove gross primary production by the combination of ground and multi-sensor satellite data International Journal of Applied Earth Observation and Geoinformation (23), 29-36 (2013) doi:10.1016/j.jag.2012.11.006
● Maselli, F., Chiesi, M., Brilli, L., Moriondo, M
Simulation of olive fruit yield in Tuscany through the integration of remote sensing and ground data Ecological Modelling (244), 1-12 (2012)
Doi:10.1016/j.ecolmodel.2012.06.028
● Moriondo, M., Orlandini, S., De Nuntiis, P., Mandrioli, P.
Effect of agrometeorological parameters on the phenology of pollen emission and production of olive trees (Olea europea L.) Aerobiologia (17(3)), 225-232 (2001)
http://link.springer.com/article/10.1023/A:1011893411266