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Author Ventrella, D.; Giglio, L.; Charfeddine, M.; Lopez, R.; Castellini, M.; Sollitto, D.; Castrignanò, A.; Fornaro, F. url  doi
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  Title Climate change impact on crop rotations of winter durum wheat and tomato in southern Italy: yield analysis and soil fertility Type Journal Article
  Year 2012 Publication Italian Journal of Agronomy Abbreviated Journal Ital. J. Agron.  
  Volume 7 Issue 1 Pages 15  
  Keywords (down) DSSAT model; CENTURY-module; climate change; winter durum wheat; tomato, crop rotation  
  Abstract Cropping systems are affected by climate change because of the strong relationship between crop development, growth, yield, CO2 atmospheric concentration and climate conditions. The increasing temperatures and the reduction of available water resources may result in negative impacts on the agricultural activity in Mediterranean environments than other areas. In this study the CERES-Wheat and CROPGRO-Tomato models were used to assess the effects of climate change on winter wheat (Triticum durum L.) and processing tomato (Lycopersicon aesculentum Mill.) in one of most productive areas of Italy, located in the northern part of the Puglia region. In particular we have compared three different General Circulation Models (HadCM3, CCSM3, ECHAM5) subjected to a statistical downscaling under two future IPCC scenarios (B1 and A2). The analysis was carried out at regional scale repeating the simulations for seven homogeneous area characterizing the spatial variability of the region. In the second part of the study, considering only HadCM3 data set, climate change impact on long-term sequences of the two crops combined in three crop rotations were evaluated in terms of yield performances and soil fertility as indicated by the soil organic content of carbon and nitrogen. The comparison between GCMs showed no significant differences for winter durum wheat yield, while noticeable differences were found for yield and irrigation requirements of tomato. Under future scenarios, the production levels were reduced for tomato, whereas positive yield effects were observed for winter durum wheat. For winter durum wheat the simulation indicated that two- and three-year rotations, including one year of tomato cultivation, improved the cereal yield and this positive effect maintained its validity also in future scenarios. For both crops higher requirements of water and nitrogen were predicted under future scenarios. This result coupled with the decrease of yield caused negative reduction of water use efficiency and nitrogen use efficiency for tomato cultivation.  
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  Language English Summary Language Original Title  
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  ISSN 2039-6805 1125-4718 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial 4481  
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Author Cantelaube, P.; Jayet, P. doi  openurl
  Title Geographical downscaling of outputs provided by an economic farm model calibrated at the regional level Type Journal Article
  Year 2012 Publication Land Use Policy Abbreviated Journal Land Use Policy  
  Volume 29 Issue Pages 35-44  
  Keywords (down) Downscaling; Land use; Spatial statistics; Farm-groups; Farm Accountancy Data Network; FADN  
  Abstract There is a strong need for accurate and spatially referenced information regarding policy making and model linkage. This need has been expressed by land users, and policy and decision makers in order to estimate both spatially and locally the impacts of European policy (like the Common Agricultural Policy) and/or global changes on farm-groups. These entities are defined according to variables such as altitude, economic size and type of farming (referring to land uses). European farm-groups are provided through the Farm Accountancy Data Network (FADN) as statistical information delivered at regional level. The aim of the study is to map locally farm-group probabilities within each region. The mapping of the farm-groups is done in two steps: (1) by mapping locally the co-variables associated to the farm-groups, i.e. altitude and land uses; (2) by using regional FADN data as a priori knowledge for transforming land uses and altitude information into farm-groups location probabilities within each region. The downscaling process focuses on the land use mapping since land use data are originally point information located every 18 km. Interpolation of land use data is done at 100 m by using co-variables like land cover, altitude, climate and soil data which are continuous layers usually provided at fine resolution. Once the farm-groups are mapped, European Policy and global changes scenarios are run through an agro-economic model for assessing environmental impacts locally.  
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  Language English Summary Language Original Title  
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  Notes TradeM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial 4582  
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Author Dumont, B.; Vancutsem, F.; Seutin, B.; Bodson, B.; Destain, J.-P.; Destain, M.-F. url  openurl
  Title Simulation de la croissance du blé à l’aide de modèles écophysiologiques: Synthèse bibliographique des méthodes, potentialités et limitations Type Journal Article
  Year 2012 Publication Biotechnologie, Agronomie, Société et Environnement Abbreviated Journal Biotechnologie, Agronomie, Société et Environnement  
  Volume 163 Issue Pages 376-386  
  Keywords (down) crops; growth; soil; Triticum; wheats; calibration; optimization methods  
  Abstract Crop models describe the growth and development of a crop interacting with its surrounding agro-environmental conditions (soil, climate and the close conditions of the plant). However, the implementation of such models remains difficult because of the high number of explanatory variables and parameters. It often happens that important discrepancies appear between measured and simulated values. This article aims to highlight the different sources of uncertainty related to the use of crop models, as well as the actual methods that allow a compensation for or, at least, a consideration of these sources of error during analysis of the model results. This article presents a literature review, which firstly synthesises the general mathematical structure of crop models. The main criteria for evaluating crop models are then described. Finally, several methods used for improving models are given. Parameter estimation methods, including frequentist and Bayesian approaches, are presented and data assimilation methods are reviewed.  
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  Language French Summary Language Original Title  
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  Notes CropM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial 4584  
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Author Kopacz, M.; Twardy, S. url  openurl
  Title Water and sewage management in the upper Dunajec river basin compared to the socio-structural transformations and surface water quality Type Report
  Year 2012 Publication Woda Srodowisko Obszary Wiejskie Abbreviated Journal  
  Volume 123 Issue Pages 103-122  
  Keywords (down) CropM; LiveM  
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  Series Editor ITP Falenty Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2067  
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Author Rötter, P.; Höhn, J.; Fronzek, S. url  openurl
  Title Projections of climate change impacts on crop production – a global and a Nordic perspective Type Conference Article
  Year 2012 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords (down) CropM  
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  Area Expedition Conference Agriculture and greenhouse gases, NJF (Association of Nordic Agronomists) seminar 453. Oslo, Norway, 2012-11-05 to 2012-11-06  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2763  
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