F
Francesco Riccioli
Researcher at University of Pisa
Publications - 70
Citations - 737
Francesco Riccioli is an academic researcher from University of Pisa. The author has contributed to research in topics: Forest management & Computer science. The author has an hindex of 11, co-authored 61 publications receiving 519 citations. Previous affiliations of Francesco Riccioli include University of Florence.
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European consumers' readiness to adopt insects as food. A review.
TL;DR: This review article analysed the different methodologies conducted on European consumers and categorised the studies in relation to the type of analysis chosen, data collection and results obtained, leading to better investigate consumers' acceptance.
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Artificial neural network for multifunctional areas
TL;DR: This work aims at mathematically simulating the changes in the land use, by implementing an artificial neural network (ANN) model, to analyze how the increase of urban areas will develop and whether this development would impact on areas with particular socioeconomic and environmental value, defined as multifunctional areas.
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Modeling the influence of alternative forest management scenarios on wood production and carbon storage: A case study in the Mediterranean region.
Francesca Bottalico,Lucia Pesola,Matteo Vizzarri,Leonardo Antonello,Anna Barbati,Gherardo Chirici,Piermaria Corona,Sebastiano Cullotta,Vittorio Garfì,Vincenzo Giannico,Raffaele Lafortezza,Fabio Lombardi,Marco Marchetti,Susanna Nocentini,Francesco Riccioli,Davide Travaglini,Lorenzo Sallustio +16 more
TL;DR: A spatially explicit method based on a multi-scale approach (MiMoSe-Multiscale Mapping of ecoSystem services) to assess the current and future potential of a given forest area to provide ES, contributing to the ongoing debate about trade-offs and synergies between carbon sequestration and wood production benefits associated with socio-ecological systems.
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Willingness to pay in main cities of Zheijiang provice (China) for quality and safety in food market
Francesco Riccioli,Roberta Moruzzo,Z. Zhang,J. Zhao,Y. Tang,Lara Tinacci,Fabio Boncinelli,D. De Martino,Alessandra Guidi +8 more
TL;DR: Wang et al. as discussed by the authors investigated how sociodemographic variables affect willingness to pay (WTP) both for safer and higher quality food by identifying a specific user profile.
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The determinants of quality of life in rural areas from a geographic perspective: the case of tuscany
TL;DR: In this paper, the authors evaluate the heterogeneity of the determinants of quality of life by analyzing the opportunities addressed to rural populations, which are quantified as the availability of healthcare, education, economic opportunities, environmental conditions, human pressure, and accessibility of the areas.