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Featured researches published by Mattia Sanna.


Science of The Total Environment | 2016

Avoiding social traps in the ecosystem stewardship: The Italian Fontanile lowland spring.

Matteo Balderacchi; Alessia Perego; Giovanni Lazzari; Rafael Muñoz-Carpena; Marco Acutis; Alex Laini; Andrea Giussani; Mattia Sanna; David Kane; Marco Trevisan

Fontanile is a Po Valley (Italy) quasi-natural lowland spring built in the middle age. This paper identifies options for the conservation of the Fontanile water dependent ecosystem, using scenarios and simulations, and exploring different policy options. Three modeling analysis have been performed: the first was carried out for estimating groundwater contamination and recharge from above, the second for evaluating the function of vegetative filter strip on the surface water quality and the last one for testing pesticide drift reduction due to the vegetative filter strip. Uncertainty characterization included climate change projections. Despite the nitrate concentration in water could favorite the eutrophication phenomena, this not occurs because of the low phosphate concentration in water and of the presence of arboreal shade. Therefore, the protection strategies must focus on sustaining desirable water quantity conditions. Water saving and conservation technologies that improve the agricultural productivity but reduce the Fontanile water flow and large buffer strips that have a limited efficacy due to the Fontanile hydrological settings can be judged as ecological traps. Inefficient irrigation systems, good agricultural practices, integrated pest management and arboreal filter strip can preserve the quality of those ecosystems.


Science of The Total Environment | 2014

Designing a high-yielding maize ideotype for a changing climate in Lombardy plain (northern Italy)

Alessia Perego; Mattia Sanna; Andrea Giussani; Marcello Ermido Chiodini; Mattia Fumagalli; Salvatore Roberto Pilu; Marco Bindi; Marco Moriondo; Marco Acutis

The expected climate change will affect the maize yields in view of air temperature increase and scarce water availability. The application of biophysical models offers the chance to design a drought-resistant ideotype and to assist plant breeders and agronomists in the assessment of its suitability in future scenarios. The aim of the present work was to perform a model-based estimation of the yields of two hybrids, current vs ideotype, under future climate scenarios (2030-2060 and 2070-2100) in Lombardy (northern Italy), testing two options of irrigation (small amount at fixed dates vs optimal water supply), nitrogen (N) fertilization (300 vs 400 kg N ha(-1)), and crop cycle durations (current vs extended). For the designing of the ideotype we set several parameters of the ARMOSA process-based crop model: the root elongation rate and maximum depth, stomatal resistance, four stage-specific crop coefficients for the actual transpiration estimation, and drought tolerance factor. The work findings indicated that the current hybrid ensures good production only with high irrigation amount (245-565 mm y(-1)). With respect to the current hybrid, the ideotype will require less irrigation water (-13%, p<0.01) and it resulted in significantly higher yield under water stress condition (+15%, p<0.01) and optimal water supply (+2%, p<0.05). The elongated cycle has a positive effect on yield under any combination of options. Moreover, higher yields projected for the ideotype implicate more crop residues to be incorporated into the soil, which are positively correlated with the SOC sequestration and negatively with N leaching. The crop N uptake is expected to be adequate in view of higher rate of soil mineralization; the N fertilization rate of 400 kg N ha(-1) will involve significant increasing of grain yield, and it is expected to involve a higher rate of SOC sequestration.


European Journal of Agronomy | 2017

Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: Uncertainties and ensemble performance

Renáta Sándor; Zoltán Barcza; Marco Acutis; Luca Doro; Dóra Hidy; Martin Köchy; Julien Minet; Eszter Lellei-Kovács; S. Ma; Alessia Perego; Susanne Rolinski; Françoise Ruget; Mattia Sanna; Giovanna Seddaiu; Lianhai Wu; Gianni Bellocchi


Land Use Policy | 2014

ValorE: An integrated and GIS-based decision support system for livestock manure management in the Lombardy region (northern Italy)

Marco Acutis; Lodovico Alfieri; Andrea Giussani; Giorgio Provolo; Andrea Di Guardo; Stefania Colombini; Gianpaolo Bertoncini; Marco Castelnuovo; Guido Sali; Maurizio Moschini; Mattia Sanna; Alessia Perego; Marco Carozzi; Marcello Ermido Chiodini; Mattia Fumagalli


Archive | 2013

The ARMOSA simulation crop model: overall features, calibration and validation results

Alessia Perego; Andrea Giussani; Mattia Sanna; Mattia Fumagalli; Marco Carozzi; Stefano Brenna; Marco Acutis


Environmental Modelling and Software | 2015

A new method for analysing the interrelationship between performance indicators with an application to agrometeorological models

Mattia Sanna; Gianni Bellocchi; Mattia Fumagalli; Marco Acutis


FACCE MACSUR Reports | 2017

Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change

Stefan Fronzek; Nina Pirttioja; Timothy R. Carter; Marco Bindi; Holger Hoffmann; Taru Palosuo; M. Ruiz-Ramos; Fulu Tao; Miroslav Trnka; Marco Acutis; Senthold Asseng; Piotr Baranowski; Bruno Basso; Per Bodin; Samuel Buis; Davide Cammarano; Paola Deligios; Marie-France Destain; Benjamin Dumont; Frank Ewert; Roberto Ferrise; Louis François; Thomas Gaiser; Petr Hlavinka; Ingrid Jacquemin; Kurt-Christian Kersebaum; Chris Kollas; Jaromir Krzyszczak; Ignacio J. Lorite; Julien Minet


Crop Modelling for Agricultur and Food Security under Climate Change | 2016

Classifying simulated wheat yield responses to changes in temperature and precipitation across a european transect

Stefan Fronzek; Nina Pirttioja; Timothy R. Carter; Marco Bindi; Holger Hoffmann; Taru Palosuo; M. Ruiz-Ramos; Fulu Tao; Mirek Trnka; Marco Acutis; Senthold Asseng; Piotr Baranowski; Bruno Basso; Per Bodin; Samuel Buis; Davide Cammarano; Paola Deligios; Marie-France Destain; Benjamin Dumont; F. Ewert; Roberto Ferrise; Louis François; Thomas Gaiser; Petr Hlavinka; Ingrid Jacquemin; Kurt Christian Kersebaum; Chris Kollas; Jaromir Krzyszczak; Ignacio J. Lorite; Julien Minet


Climate-Smart Agriculture | Climate-Smart Agriculture 2015 - 3rd Global Science Conference | 16/03/2015-18/03/2015 | Montpellier, Francia | 2015

Wheat yield sensitivity to climate change across a European transect for a large ensemble of crop models

Nina Pirttioja; Timothy R. Carter; Stefan Fronzek; Marco Bindi; Holger Hoffmann; Taru Palosuo; M. Ruiz-Ramos; Miroslav Trnka; Marco Acutis; Senthold Asseng; Piotr Baranowski; Bruno Basso; Per Bodin; Samuel Buis; Davide Cammarano; Paola Deligios; Marie-France Destain; Luca Doro; Benjamin Dumont; Frank Ewert; Roberto Ferrise; Louis François; Thomas Gaiser; Petr Hlavinka; Christian Kersebaum; Chris Kollas; Jaromir Krzyszczak; Ignacio Lorite Torres; Julien Minet; M. Ines Minguez


FACCE MACSUR Reports | 2014

Interrelationship between evaluation metrics to assess agro-ecological models

Mattia Sanna; Marco Acutis; Gianni Bellocchi

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Marco Bindi

University of Florence

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Gianni Bellocchi

Institut national de la recherche agronomique

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Samuel Buis

Institut national de la recherche agronomique

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