Journal articles (peer-reviewed)

  1. Tommy Klein, Argyrios Samourkasidis, Ioannis N. Athanasiadis, Gianni Bellocchi, Pierluigi Calanca, 2017, webXTREME: R-based web tool for calculating agroclimatic indices of extreme events, Computers and Electronics in Agriculture 136, 111-116. doi:10.1016/j.compag.2017.03.002
  2. Nazzareno Diodato, Gianni Bellocchi, 2017, Enhanced propagation of rainfall kinetic energy in the UK, Theoretical and Applied Climatology. doi:10.1007/s00704-016-1863-1
  3. Nazzareno Diodato, Marcella Soriano, Gianni Bellocchi, Francesco Fiorilllo, Andrea Cevasco, Paola Revellino, Francesco M. Guadagno, 2017, Historical evolution of slope instability in the Calore River Basin, Southern Italy, Geomorphology 282, 74–84. doi:10.1016/j.geomorph.2017.01.010
  4. Omar García-Tejera, Alvaro Lopez-Bernal, Luca Testi, Francisco J. Villalobos, 2017, A soil-plant-atmosphere continuum (SPAC) model for simulating tree transpiration with a soil multi-compartment solution, Plant and Soil. doi:10.1007/s11104-016-3049-0
  5. Serge Zaka, Lina Qadir Ahmed, Abraham J. Escobar-Gutiérrez, François Gastal, Bernadette Julier, Gaëtan Louarn, 2017, How variable are non-linear developmental responses to temperature in two perennial forage species?, Agricultural and Forest Meteorology 232, 433-442. doi:10.1016/j.agrformet.2016.10.004
  6. Tamara Ben-Ari, Juliette Adrian, Tommy Klein, Pierluigi Calanca, Marijn Van der Velde, David Makowski, 2016, Identifying indicators for extreme wheat and maize yield losses, Agricultural and Forest Meteorology 220, 130-140. doi:10.1016/j.agrformet.2016.01.009 (Science Brief)
  7. Simone Bregaglio, Francesca Orlando, Emanuela Forni, Tommaso De Gregorio, Simone Falzoi, Chiara Boni, Michele Pisetta, Roberto Confalonieri, 2016, Development and evaluation of new modelling solutions to simulate hazelnut (Corylus avellana L.) growth and development, Ecological Modelling 329, 86-89. doi:10.1016/j.ecolmodel.2016.03.006 (Science Brief)
  8. Pierluigi Calanca, Claire Deléglise, Raphaël Martin, Pascal Carrère, Eric Mosimann, 2016, Testing the ability of a simple grassland model to simulate the seasonal effects of drought on herbage growth, Field Crops Research 187, 12-23. doi:10.1016/j.fcr.2015.12.008 (Science Brief)
  9. Roberto Confalonieri, Simone Bregaglio, Myriam Adam, Françoise Ruget, T. Li, T. Hasegawa, X. Yin, Y. Zhu, K. Boote, S. Buis, T. Fumoto, D. Gaydon, T. Lafarge, M. Marcaida, H. Nakagawa, Alex C. Ruane, B. Singh, U. Singh, L. Tang, F. Tao, J. Fugice, H. Yoshida, Z. Zhang, L.T. Wilson, J. Baker, Y. Yang, Y. Masutomi, Daniel Wallach, Marco Acutis, B. Bouman, 2016, A taxonomy-based approach to shed light on the babel of mathematical models for rice simulations, Environmental Modelling & Software 85, 332-341. doi:10.1016/j.envsoft.2016.09.007
  10. Roberto Confalonieri, Francesca Orlando, Livia Paleari, Tommaso Stella, Carlo Gilardelli, Ermes Movedi, Valentina Pagani, Giovanni Cappelli, Andrea Vertemara, Luigi Alberti, Paolo Alberti, Samuel Atanassiu, Matteo Bonaiti, Giovanni Cappelletti, Matteo Ceruti, Andrea Confalonieri, Gabriele Corgatelli, Paolo Corti, Michele Dell’Oro, Alessandro Ghidoni, Angelo Lamarta, Alberto Maghini, Martino Mambretti, Agnese Manchia, Gianluca Massoni, Pierangelo Mutti, Stefano Pariani, 2016, Uncertainty in crop model predictions: What is the role of users?, Environmental Modelling & Software 81, 165-173. doi:10.1016/j.envsoft.2016.04.009 (Science Brief)
  11. Roberto Confalonieri, Simone Bregaglio, Marco Acutis, 2016, Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration, Ecological Modelling 328, 72-77. doi:10.1016/j.ecolmodel.2016.02.013 (Science Brief)
  12. Roberto Confalonieri, Francesca Orlando, Livia Paleari, Tommaso Stella, Carlo Gilardelli, Ermes Movedi, Valentina Pagani, Giovanni Cappelli, Andrea Vertemara, Luigi Alberti, Paolo Alberti, Samuel Atanassiu, Matteo Bonaiti, Giovanni Cappelletti, Matteo Ceruti, Andrea Confalonieri, Gabriele Corgatelli, Paolo Corti, Michela dell’Oro, Alessandro Ghidoni, Angelo Lamarta, Alberto Maghini, Martino Mambretti, Agnese Manchia, Gianluca Massoni, Pierangelo Mutti, Stefano Pariani, 2016, Uncertainty in crop model predictions: What is the role of users?, Environmental Modelling & Software 81, 165-173. doi:10.1016/j.envsoft.2016.04.009 (Science Brief)
  13. Nazzareno Diodato, Pasquale Borrelli, Peter Fiener, Gianni Bellocchi, Nunzio Romano, 2016, Discovering historical rainfall erosivity with a parsimonious approach: A case study in Western Germany, Journal of Hydrolology 544, 1-9. doi:10.1016/j.jhydrol.2016.11.023
  14. Anabela Afonso Fernandes-Silva, Álvaro Lopez-Bernal, Timóteo C. Ferreira, Francisco J. Villalobos, 2016, Leaf water relations and gas exchange response to water deficit of olive (cv. Cobrançosa) in field grown conditions in Portugal. Plant and Soil 402, 191-209. doi:10.1007/s11104-015-2786-9
  15. Carlo Gilardelli, Tommaso Stella, Nicolò Frasso, Giovanni Cappelli, Simone Bregaglio, Marcello E. Chiodini, Barbara Scaglia, Roberto Confalonieri, 2016. WOFOST-GTC: a new model for the simulation of winter rapeseed production and oil quality, Field Crops Research 197, 125-132. doi:10.1016/j.fcr.2016.07.013
  16. Shaoxiu Ma, Galina Churkina, Arthur Gessler, Ralf Wieland, Gianni Bellocchi, 2016, Yield gap of winter wheat in Europe and sensitivity of potential yield to climate factors. Climate Research 67, 179-190. doi:10.3354/cr01367
  17. Alejandro Morales, Peter A Leffelaar, Luca Testi, Francisco Orgaz, Francisco J. Villalobos, 2016, A dynamic model of potential growth of olive (Olea europaea L.) orchards. European Journal of Agronomy 74, 93-102, doi:10.1016/j.eja.2015.12.006
  18. Livia Paleari, Roberto Confalonieri, 2016. Sensitivity analysis of a sensitivity analysis: we are likely overlooking the impact of distributional assumptions, Ecological Modelling 340, 57-63 doi:10.1016/j.ecolmodel.2016.09.008
  19. Omar Garcia-Tejera, Álvaro Lopez-Bernal, Francisco J. Villalobos, Francisco Orgaz, Luca Testi, 2016, Effect of soil temperature on root resistance: implications for different trees under Mediterranean conditions. Tree Physiology 36, 469-478 doi:10.1093/treephys/tpv126
  20. Serge Zaka, Ela Frak, Bernadette Julier, François Gastal, Gaëtan Louarn, 2016, Intraspecific variation in thermal acclimation of photosynthesis across a range of temperatures in a perennial crop, AoB PLANTS 8: plw035 doi:10.1093/aobpla/plw035
  21. Gianni Bellocchi, Mike Rivington, Keith Matthews, Marco Acutis, 2015, Deliberative processes for comprehensive evaluation of agroecological models. A review, Agronomy for Sustainable Development 35, 589-605. doi:10.1007/s13593-014-0271-0 (blog) (Science Brief)
  22. Haythem Ben Touhami, Gianni Bellocchi, 2015, Bayesian calibration of the Pasture Simulation model (PaSim) to simulate European grasslands under water stress, Ecological Informatics 30, 356–364. doi:10.1016/j.ecoinf.2015.09.009 (Science Brief)
  23. Giovanni Cappelli, Sevim Seda Yamaç, Tommaso Stella, Caterina Francone, Livia Paleari, Marco Negri, Roberto Confalonieri, 2015, Are advantages from the partial replacement of corn with second-generation energy crops undermined by climate change? A case study for giant reed in northern Italy, Biomass and Bioenergy 80, 85-93. doi:10.1016/j.biombioe.2015.04.038 (Science Brief)
  24. Livia Paleari, Giovanni Cappelli, Simone Bregaglio, Marco Acutis, Marcello Donatelli, Gian Attilio Sacchi, Elisabetta Lupotto, Mirco Boschetti, Giacinto Manfron, Roberto Confalonieri, 2015, District specific, in silico evaluation of rice ideotypes improved for resistance/tolerance traits to biotic and abiotic stressors under climate change scenarios, Climatic Change 132, 661-675. doi:10.1007/s10584-015-1457-4
  25. François Tardieu, Thierry Simonneau, Boris Parent, 2015, Modelling the coordination of the controls of stomatal aperture, transpiration, leaf growth, and abscisic acid: update and extension of the Tardieu–Davies model, Journal of Experimental Botany. doi:10.1093/jxb/erv039 (Science Brief)
  26. Roberto Confalonieri, 2014, CoSMo: A simple approach for reproducing plant community dynamics using a single instance of generic crop simulators, Ecological Modelling 286, 1–10. doi:10.1016/j.ecolmodel.2014.04.019 (Science Brief)