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Le pubblicazioni dei Dottorandi

Delle numerose pubblicazioni dei dottorandi e delle dottorande  del curriculum in Economia, Pianificazione Forestale e Scienze del Legno si riportano solo quelle su riviste scientifiche peer-reviewed di rilievo degli ultimi 3 anni in cui compaiono come primo autore o come autore corrispondente (*) (elenchi completi disponibili su flore.unifi.it).

2023

  • Borghi C., Francini S., Mc Roberts R.E., Parisi F., Lombardi F., Nocentini S., Maltoni A., Travaglini D., Chirici G. (2023). Country‑wide assessment of biodiversity, naturalness and old‑growth status using national forest inventory data. European Journal of Forest Research: 1-33. https://doi.org/10.1007/s10342-023-01620-6
  • Riparbelli, L., Mazzanti, P., Manfriani, C. et al. (2023) Hygromechanical behaviour of wooden panel paintings: classification of their deformation tendencies based on numerical modelling and experimental results. Herit Sci 11, 25 . https://doi.org/10.1186/s40494-022-00843-x

2022

  • Manfriani,C., Zuena, M. Ruggiero, L., Lucarelli,C., Ridolfi, S., Tortora, L., Sodo, A., (2022) The forger's identikit: A multi-technique characterization of Pippo Oriani's fake paintings, in “Dyes and Pigments” 207
  • Sergiacomi, C., Vuletic, D., Paletto, A., Barbierato, E., Fagarazzi, C. (2022) Exploring National Park Visitors' Judgements from Social Media: The Case Study of Plitvice Lakes National Park. FORESTS,12 (5), 717 ISSN:1999-4907doi: https://doi.org/10.3390/f13050717

2021

  • D’Amico, G., Vangi, E., Francini, S., Giannetti, F., Nicolaci, A., Travaglini, D., Massai, L., Giambastiani, Y., Terranova, C., Chirici, G. (2021). Are we ready for a National Forest Information System? State of the art of forest maps and airborne laser scanning data availability in Italy. iForest 14: 144-154. https://doi.org/10.3832/ifor3648-014
  • D’Amico, G., Francini, S., Giannetti, F., Vangi, E., Travaglini, D., Mattioli, W., Chianucci, F., Grotti ,M., Puletti, N., Corona, P., Chirici, G.,  (2021)  A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery. Accepted on September 28th, GIScience & Remote Sensing. https://doi.org/10.1080/15481603.2021.1988427
  • Fagarazzi, C., Sergiacomi, C.*, Stefanini, F.M., Marone, E. (2021) A Model for the Economic Evaluation of Cultural Ecosystem Services: The Recreational Hunting Function in the Agroforestry Territories of Tuscany (Italy). Sustainability 2021, 13, 11229. https://doi.org/10.3390/su132011229
  • Francini, S., Zorzi, I.*, Giannetti, F., Chianucci, F., Travaglini, D., Chirici, G., Cocozza, C. (2021). In situ (TreeTalker) and remotely sensed multispectral imagery (Sentinel-2) integration for continuous forest monitoring: the first step toward wall-to-wall mapping of tree functional traits. In: Dessena M.A., Melis M.T., Rossi P. Planet Care from Space, pp. 108-111, ISBN:978-88-944687-0-0. http://dx.doi.org/10.978.88944687/00
  • Hernandez Marentes, M.A., Venturi, M.*, Scaramuzzi, S. et al. (2021) Traditional forest-related knowledge and agrobiodiversity preservation: the case of the chagras in the Indigenous Reserve of Monochoa (Colombia). Biodivers Conserv (2021). https://doi.org/10.1007/s10531-021-02263-y
  • Manfriani, C., Gualdani, G., Goli ,G., Carlson, B., Certo, A.R., Mazzanti, P., Fioravanti, M. (2021) - In: SUSTAINABILITY. - ISSN 2071-1050. - ELETTRONICO. - 13:(2021), pp. 1-10. [10.3390/su13041900]
  • Manfriani,C., Gualdani, G., Goli, G., Carlson, B., Certo, A.R., Mazzanti P., Fioravanti, M. (2021) The Contribution of IoT to the Implementation of Preventive Conservation According to European Standards: The Case Study of the “Cannone” Violin and Its Historical Copy, in “Sustainability”, 13, 1900 https://doi.org/10.3390/su13041900
  • Piras, F.; Venturi, M.*; Corrieri, F.; Santoro, A.; Agnoletti, M. (2021)Forest Surface Changes and Cultural Values: The Forests of Tuscany (Italy) in the Last Century. Forests 2021, 12, 531. https://doi.org/10.3390/f12050531
  • Santoro A., Venturi M.*, Piras F., Fiore B., Corrieri F., Agnoletti M., (2021) Forest Area Changes in Cinque Terre National Park in the Last 80 Years. Consequences on Landslides and Forest Fire Risks, March 2021, Land 10(3):293, https://doi.org/10.3390/land10030293
  • Venturi, M.; Piras, F.; Corrieri, F.; Fiore, B.; Santoro, A.; Agnoletti, M. Assessment of Tuscany Landscape Structure According to the Regional Landscape Plan Partition. Sustainability 2021, 13, 5424. https://doi.org/10.3390/su13105424
  • Venturi, M., Piras, F., Corrieri, F. et al. The multifunctional role of linear features in traditional silvopastoral systems: the sabana de morro in Dolores (El Salvador) and the pastures with carob trees in Ragusa (Italy). Biodivers Conserv (2021). https://doi.org/10.1007/s10531-021-02220-9
  • Zorzi, I., Francini, S., Chiric, G., Cocozza, C. (2021). The TreeTalkersCheck R package: An automatic daily routine to check physiological traits of trees in the forest. Ecological Informatics, 66, 101433. https://doi.org/10.1016/j.ecoinf.2021.101433

2020

  • Dupre, J.-C., Jullien, D., Uzielli, L., Hesser, F., Riparbelli, L.*, Gauvin, C., Mazzanti, P., Gril, J., Tournillon, G., Amoroso, D., Massieux, P.H., Stepanoff, P., Bousvarou, M. (2020). Experimental study of the hygromechanical behaviour of a historic painting on wooden panel: devices and measurement techniques. JOURNAL OF CULTURAL HERITAGE, vol. 46, pp. 165-175, ISSN:1296-2074 http://dx.doi.org/10.1016/J.CULHER.2020.09.003
  • Pecchi, M., Marchi, M., Moriondo, M., Forzieri, G., Ammoniaci,M., Bernetti, I., Bindi, M., Chirici, G. (2020). Potential impact of climate change on the forest coverage and the spatial distribution of 19 key forest tree species in Italy under RCP4.5 IPCC trajectory for 2050s. FORESTS, vol. 11, pp. 934-953, ISSN:1999-4907 http://dx.doi.org/10.3390/F11090934
  • Riparbelli, L.,, Brémand, F., Dionisi-Vici, P.,  Dupre,J.-C., Goli, G., Hesser, F., Jullien, D., Mazzanti, P., Togni, M., Ravaud, E., Uzielli, L., Gril, J. (2020). Learning from Objects: the use of advanced numerical methods to exploit a complete set of information from experimental data, for the Mona Lisa’s Digital-Twin. MATERIALS SCIENCE AND ENGINEERING, vol. 949, pp. 1-10, ISSN:1757-899X http://dx.doi.org/10.1088/1757-899X/949/1/012089

 

Ultimo aggiornamento

30.12.2023

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