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Author |
Spanna, F.; Cassardo, C.; Cavalletto, S.; La Iacona, T.; Vitali, M.; Balanzino, A. |
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Title |
MACSUR Project – The case study of vineyards. Eco-physiological and biophysical modeling applied to the growth and productivity of vineyards in northwestern Italy |
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Conference Article |
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Year |
2014 |
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Viticulture in Italy is one of the economically most important agricultural sectors. Recent research allows eco-physiological and biophysical models to develop tools able to provide support to the crop management, in terms of optimizing production performance and limiting environmental impacts. The ability to check on a daily basis the activities of vegetative and productive phases of vines is certainly a fundamental tool for the vineyard organization and management, and for linking the trends of growth and productivity with the quality of the final product: the wine. Since some years, some researches are taking place in the vineyards of northwestern Italy, with the aim of modeling the eco-physiological behavior of the vines, using and valorizing all available historical field data related to the vegetative and productive behavior of the vines, as well as laboratory qualitative data. At the same time, our team is evaluating two different modeling approaches: one biophysical, using the land surface scheme UTOPIA (University of TOrino land Process Interaction in Atmosphere), and another one eco-physiological. The case-study vineyards, referred to the northwestern Italian territory, is part of a wider working program involving several integrated teams from Italy, Spain and Germany. The objectives are: to improve the use of the models used by different groups; to compare the results obtained by different modeling tools; to create a common database of field measurements; to study the relationships between vegetative-productive behaviors and quality of productions. |
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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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no |
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MA @ admin @ |
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5100 |
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Soussana, J.-F.; Fereres, E.; Long, S.P.; Mohren, F.G.M.J.; Pandya-Lorch, R.; Peltonen-Sainio, P.; Porter, J.R.; Rosswall, T.; von Braun, J. |
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A European science plan to sustainably increase food security under climate change |
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Journal Article |
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Year |
2012 |
Publication |
Global Change Biology |
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Glob. Chang. Biol. |
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18 |
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11 |
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3269-3271 |
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2016-10-31 |
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1354-1013 |
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Letter |
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CropM, ftnotmacsur |
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no |
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MA @ admin @ |
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4815 |
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Author |
Sollitto, D.; De Benedetto, D.; Castrignanò, A.; Crescimanno, G.; Provenzano, G.; Ventrella, D. |
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Title |
Spatial data fusion and analysis for soil characterization: a case study in a coastal basin of south-western Sicily (southern Italy) |
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Journal Article |
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Year |
2012 |
Publication |
Italian Journal of Agronomy |
Abbreviated Journal |
Ital. J. Agron. |
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7 |
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1 |
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4 |
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salinization risk; soil retention curve; geostatistics; factor Kriging; intrinsic random funciton |
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Salinization is one of the most serious problems confronting sustainable agriculture in semi-arid and arid regions. Accurate mapping of soil salinization and the associated risk represent a fundamental step in planning agricultural and remediation activities. Geostatistical analysis is very useful for soil quality assessment because it makes it possible to determine the spatial relationships between selected variables and to produce synthetic maps of spatial variation. The main objective of this paper was to map the soil salinization risk in the Delia-Nivolelli alluvial basin (south-western Sicily, southern Italy), using multivariate geostatistical techniques and a set of topographical, physical and soil hydraulic properties. Elevation data were collected from existing topographic maps and analysed preliminarily to improve the estimate precision of sparsely sampled primary variables. For interpolation multi-collocated cokriging was applied to the dataset, including textural and hydraulic properties and electrical conductivity measurements carried out on 128 collected soil samples, using elevation data as auxiliary variable. Spatial dependence among elevation and physical soil properties was explored with factorial kriging analysis (FKA) that could isolate and display the sources of variation acting at different spatial scales. FKA isolated significant regionalised factors which give a concise description of the complex soil physical variability at the different selected spatial scales. These factors mapped, allowed the delineation of zones at different salinisation risk to be managed separately to control and prevent salinization risk. The proposed methodology could be a valid support for land use and soil remediation planning at regional scale. |
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2039-6805 1125-4718 |
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CropM, ftnotmacsur |
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no |
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Call Number |
MA @ admin @ |
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4595 |
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Author |
Smoroń, S.; Kowalczyk, A. |
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Title |
Nitrogen and Phosphorus dynamics in the surface flowing waters of the loessial areas in Northern Malopolska |
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Journal Article |
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Year |
2012 |
Publication |
Polish Journal of Environmental Studies |
Abbreviated Journal |
Pol. J. Environ. Stud. |
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21 |
Issue |
15a |
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392-395 |
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CropM |
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MA @ admin @ |
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4594 |
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Author |
Smoron, S. |
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Title |
Dynamics of the mountain meadow yielding in period of 25 years after fertilization abandonment |
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Report |
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Year |
2013 |
Publication |
Water-Environment-Rural Areas |
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132 |
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111-120 |
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CropM |
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Series Editor |
ITP Falenty |
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MA @ admin @ |
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2073 |
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