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5 results on '"Cambria, VE"'

1. Can Predictive Vegetation Modeling be a useful tool to support Vegetation Classification?

Author

ATTORRE, F., AGRILLO, E, ALESSI, N, CAMBRIA, VE, DE SANCTIS, M, FANELLI, G, FRANCESCONI, F, MARCENÒ, C, MASSIMI, M, SCARNATI, L, SPADA, F, VALENTI, R., GUARINO, Riccardo, ATTORRE, F., AGRILLO, E, ALESSI, N, CAMBRIA, VE, DE SANCTIS, M, FANELLI, G, FRANCESCONI, F, GUARINO, R, MARCENÒ, C, MASSIMI, M, SCARNATI, L, SPADA, F, and VALENTI, R

Subjects
Syntaxonomy, classification, PVM, vegetation
Published
2014

2. Classifying plant communities and mapping their potential distribution using very large, heterogeneous, georeferenced datasets: the case study of the forest vegetation in the Italian peninsula

Author

Attorre, F, Agrillo, E, Alessi, N, Cambria, VE, De Sanctis, M, Fanelli, G, Francesconi, F, Marcenò, C, Massimi, M, Scarnati, L, Spada, F, Valenti, R., GUARINO, Riccardo, Attorre, F, Agrillo, E, Alessi, N, Cambria, VE, De Sanctis, M, Fanelli, G, Francesconi, F, Guarino, R, Marcenò, C, Massimi, M, Scarnati, L, Spada, F, and Valenti, R

Subjects
Phytosociology, Italy, data-base, forest vegetation, classification, Settore BIO/03 - Botanica Ambientale E Applicata
Abstract

In recent years, the scientific community has made significant efforts in order to create geo­referenced vegetation databases (Global Index of Vegetation Plot Databases). These databases are useful to carry out assessments of the state of bio­ diversity, conservation of species and habitats, dispersion of alien species and as a support for the planning of land and protected areas. In this context, Italy has given birth to its own project called VegItaly, coordinated by the Italian Society of Vegetation Science and conducted by several research groups, in order to develop a uniform database for the entire country. Within this framework we have created a georeferenced database of phytosociological relevés of forest vegetation. This work was conducted in three main steps: digitalizing published phytosociological relevés, georeferencing them using indications on their location and topographical features, and updating species nomenclature according to the more recent checklist. In this way, we obtained a database of 5593 georeferenced relevés for insular and penin­ sular Italy. This database was then used to identify and map the main forest com­ munities in the study area. For the classification process we used a finite mixture model that is particularly suitable to this purpose since it is able to integrate in the classificatory process species composition, environmental variables and the spatial distribution of the relevés. The application of this method led to the identification of 20 forest communities that represent the remarkable biological diversity in pen­ insular and insular Italy. This variability is characterized by the presence of central temperate European communities, sub­Mediterranean ones with marked Balkan influences and typically Mediterranean ones. The final step was mapping the poten­ tial distribution of these forest communities using only the environmental variables and validating the map by means of the georeferenced relevés. Results indicate the sub­Mediterranean forest communities being characterized by a lower classification accuracy with respect to the other two macro­typologies. Despite the intrinsic limi­ tations of natural potential vegetation mapping, we believe that our approach can produce maps useful for small­scale landscape planning and nature conservation activities, being based on a replicable and standardized procedure that could be ap­ plied when georeferenced relevés are available.

Published
2014

3. More nature in the city

Author

Antonello Prigioniero, A. P Giannotta, Rocco Pace, S Manca, Andrea Nardini, Miris Castello, Luigi Mundula, Giovanni Bacaro, Mauro Mariotti, Ludovica Oddi, Michela Marignani, A Postiglione, E.A. Fano, Marco Fornaciari, Maria Tartaglia, L Cipriani, F Ventura, Carlo Blasi, Giuseppe Venturella, Luigi Parrotta, M Burnelli, L Ruga, E. Di Gristina, Francesco Maria Raimondo, Vito Emanuele Cambria, E Nicosia, G. Capotorti, Mattias Gaglio, S. Del Duca, Massimo Reverberi, L Abis, Francesco Scuderi, M. E Palumbo, A Sordo, Carlo Calfapietra, S Farris, Gabriele Galasso, E Toselli, Chiara Montagnani, Maria Letizia Gargano, Pierpaolo Scarano, Enrico Luigi Redi, G Iaquinta, Paola Michelozzi, Enrica Roccotiello, Ginevra Balletto, S Palumbo, Gianniantonio Domina, Roberto Braglia, C Proietti, Sandra Citterio, Chiara Toffolo, F Schirru, Gianluca Iiriti, Fabio Orlandi, Iris Aloisi, Alessandro Travaglini, Rosaria Sciarrillo, Katia Perini, M Galletti, M. A Brighetti, Sarah Caronni, Emmanuele Farris, A Miraglia, Fausto Manes, F Bretzel, Aldo Ranfa, Vico E Del, F Musanti, Elena Barni, Silvano Fares, E Corona, E. Lattanzi, E Lallai, Pietro Mazzola, Rodolfo Gentili, Livio Poldini, Carmine Guarino, Andrea Coppi, Flavia Bartoli, Salvatore Pasta, Marzia Beccaccioli, F Marinangeli, Valentina Savo, Erika Bazzato, Alessandro Sebastiani, A. Tilia, F Vincenzi, Enrico Banfi, Giulia Caneva, A. N Muresan, Fabio Attorre, Chiara Suanno, E Cicinelli, Riccardo Guarino, Andrea Lallai, F Mascia, Antonella Canini, Consolata Siniscalco, G Concu, L Faino, Chiara Catalano, Giuseppe Brundu, S. Bonacquisti, Laura Celesti-Grapow, G Meloni, Capotorti, G, Bonacquisti, S, Abis, L, Aloisi, I, Attorre, F, Bacaro, G, Balletto, G, Banfi, E, Barni, E, Bartoli, F, Bazzato, E, Beccaccioli, M, Braglia, R, Bretzel, F, Brighetti, MA, Brundu, G, Burnelli, M, Calfapietra, C, Cambria, VE, Caneva, G, Canini, A, Caronni, S, Castello, M, Catalano, C, Celesti-Grapow, L, Cicinelli, E, Cipriani, L, Citterio, S, Concu, G, Coppi, A, Corona, E, Del Duca, S, Del, Vico E, Di Gristina, E, Domina, G, Faino, L, Fano, EA, Fares, S, Farris, E, Farris, S, Fornaciari, M, Gaglio, M, Galasso, G, Galletti, M, Gargano, ML, Gentili, R, Giannotta, AP, Guarino, C, Guarino, R, Iaquinta, G, Iiriti, G, Lallai, A, Lallai, E, Lattanzi, E, Manca, S, Manes, F, Marignani, M, Marinangeli, F, Mariotti, M, Mascia, F, Mazzola, P, Meloni, G, Michelozzi, P, Miraglia, A, Montagnani, C, Mundula, L, Muresan, AN, Musanti, F, Nardini, A, Nicosia, E, Oddi, L, Orlandi, F, Pace, R, Palumbo, ME, Palumbo, S, Parrotta, L, Pasta, S, Perini, K, Poldini, L, Postiglione, A, Prigioniero, A, Proietti, C, Raimondo, FM, Ranfa, A, Redi, EL, Reverberi, M, Roccotiello, E, Ruga, L, Savo, V, Scarano, P, Schirru, F, Sciarrillo, R, Scuderi, F, Sebastiani, A, Siniscalco, C, Sordo, A, Suanno, C, Tartaglia, M, Tilia, A, Toffolo, C, Toselli, E, Travaglini, A, Ventura, F, Venturella, G, Vincenzi, F, Blasi, C, Brighetti, M. A, Cambria, V. E, Fano, E. A, Gargano, M. L, Giannotta, A. P, Muresan, A. N, Palumbo, M. E, Raimondo, F. M, Redi, E. L, Brighetti, M, Cambria, V, Del, V, Fano, E, Gargano, M, Giannotta, A, Muresan, A, Palumbo, M, Raimondo, F, Redi, E, Capotorti G., Bonacquisti S., Abis L., Aloisi I., Attorre F., Bacaro G., Balletto G., Banfi E., Barni E., Bartoli F., Bazzato E., Beccaccioli M., Braglia R., Bretzel F., Brighetti M.A., Brundu G., Burnelli M., Calfapietra C., Cambria V.E., Caneva G., Canini A., Caronni S., Castello M., Catalano C., Celesti-Grapow L., Cicinelli E., Cipriani L., Citterio S., Concu G., Coppi A., Corona E., Del Duca S., Del V.E., Di Gristina E., Domina G., Faino L., Fano E.A., Fares S., Farris E., Farris S., Fornaciari M., Gaglio M., Galasso G., Galletti M., Gargano M.L., Gentili R., Giannotta A.P., Guarino C., Guarino R., Iaquinta G., Iiriti G., Lallai A., Lallai E., Lattanzi E., Manca S., Manes F., Marignani M., Marinangeli F., Mariotti M., Mascia F., Mazzola P., Meloni G., Michelozzi P., Miraglia A., Montagnani C., Mundula L., Muresan A.N., Musanti F., Nardini A., Nicosia E., Oddi L., Orlandi F., Pace R., Palumbo M.E., Palumbo S., Parrotta L., Pasta S., Perini K., Poldini L., Postiglione A., Prigioniero A., Proietti C., Raimondo F.M., Ranfa A., Redi E.L., Reverberi M., Roccotiello E., Ruga L., Savo V., Scarano P., Schirru F., Sciarrillo R., Scuderi F., Sebastiani A., Siniscalco C., Sordo A., Suanno C., Tartaglia M., Tilia A., Toffolo C., Toselli E., Travaglini A., Ventura F., Venturella G., Vincenzi F., Blasi C., Brighetti, Ma, Cambria, Ve, Del Vico, E, Fano, Ea, Gargano, Ml, Giannotta, Ap, Muresan, An, Palumbo, Me, Raimondo, Fm, and Redi, El

Subjects
urban green areas, 2019-20 coronavirus outbreak, 010504 meteorology & atmospheric sciences, Coronavirus disease 2019 (COVID-19), Ecosystem service, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Settore BIO/02, Ecosystem services, green infrastructure, human well-being, urban biodiversity, urban green areas, Plant Science, 010501 environmental sciences, Ecosystem services, Human well-being, Green infrastructure, Urban green areas, Urban biodiversity, 01 natural sciences, urban biodiversity, Ecosystem services, Green infrastructure, Urban green area, Environmental planning, human well-being, Human well-being, Green infrastructure, Urban green areas, Urban biodiversity, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, urban green area, Settore BIO/02 - Botanica Sistematica, Ambientale, Geography, green infrastructure, Settore BIO/03 - Botanica Ambientale E Applicata, Green infrastructure
Abstract

According to projects and practices that the Italian botanists and ecologists are carrying out for bringing “more nature in the city”, new insights for a factual integration between ecological perspectives and more consolidated aesthetic and agronomic approaches to the sustainable planning and management of urban green areas are provided.

Published
2020

4. Citizen Science Data to Measure Human Use of Green Areas and Forests in European Cities

Author

Vito Emanuele Cambria, Tommaso Sitzia, Giovanni Trentanovi, Riccardo Testolin, Fabio Attorre, Thomas Campagnaro, Cambria, VE, Campagnaro, T, Trentanovi, G, Testolin, R, Attorre, F, and Sitzia, T

Subjects
0106 biological sciences, iNaturalist, green spaces, 010501 environmental sciences, iNaturalist, urban forest, green spaces, human connection to nature, nature-based solutions, urban green infrastructure, 010603 evolutionary biology, 01 natural sciences, Gross domestic product, Urban forest, Urban planning, green space, nature-based solution, Citizen science, QK900-989, Plant ecology, Environmental planning, Spatial planning, nature-based solutions, human connection to nature, 0105 earth and related environmental sciences, Sustainable development, Measure (data warehouse), urban forest, urban green infrastructure, Forestry, Geography, Green infrastructure
Abstract

Understanding and explaining the use of green spaces and forests is challenging for sustainable urban planning. In recent years there has been increasing demand for novel approaches to investigate urban green infrastructure by capitalizing on large databases from existing citizen science tools. In this study, we analyzed iNaturalist data to perform an assessment of the intentional use of these urban spaces for their value and to understand the main drivers. We retrieved the total number of observations obtained across a set of 672 European cities and focused on reporting from mapped green areas and forests. We used two separate multivariate explanatory models to investigate which factors explained variations in the number of observations for green areas and forests. We found a relatively heterogeneous use of these two urban green spaces. Gross domestic product was important in explaining the number of visits. Availability and accessibility also had positive relationships with the use of green areas and forests in cities, respectively. This study paves the way for better integration of citizen science data in assessing cultural services provided by urban green infrastructure and therefore in supporting the evaluation of spatial planning policies for the sustainable development of urban areas.

Published
2021

5. VegItaly: The Italian collaborative project for a national vegetation database

Author

L. Facioni, Francesco Geri, Francesco Spada, Emiliano Agrillo, Daniela Gigante, Domenico Lucarini, I. Prisco, E. Panfili, Alessandro Chiarucci, Riccardo Guarino, S. Pesaresi, Edoardo Biondi, Roberto Venanzoni, E. Del Vico, Alicia Teresa Rosario Acosta, Sara Landi, Fabio Attorre, M. C. De Sanctis, Flavia Landucci, V. E. Cambria, Leonardo Rosati, LANDUCCI F., ACOSTA A.T.R., AGRILLO E., ATTORRE F., BIONDI E., CAMBRIA V.E., CHIARUCCI A., DEL VICO E., DE SANCTIS M., FACIONI L., GERI F., GIGANTE D., GUARINO R., LANDI S., LUCARINI D., PANFILI E., PESARESI S., PRISCO I., ROSATI L., SPADA F., VENANZONI R., Landucci, F, Acosta, ATR, Agrillo, E, Attorre, F, Biondi, E, Cambria, VE, Chiarucci, A, Del Vico, E, De Sanctis, M, Facioni, L, Geri, F, Gigante, D, Guarino, R, Landi, S, Lucarini, D, Panfili, E, Pesaresi, S, Prisco, I, Rosati, L, Spada, F, Venanzoni, R, Landucci, F., Acosta, A. T. R., Agrillo, E., Attorre, F., Biondi, E., Cambria, V. E., Chiarucci, A., Del Vico, E., De Sanctis, M., Facioni, L., Geri, F., Gigante, D., Guarino, R., Landi, S., Lucarini, D., Panfili, E., Pesaresi, S., Prisco, I., Rosati, L., Spada &amp, F., and Venanzoni, R.

Subjects
phytosociology, Distribution (economics), relevé, Plant Science, Biodiversity informatics, computer.software_genre, Plot (graphics), Vegetation types, database, vegetation plot, medicine, Ecology, Evolution, Behavior and Systematics, Database, business.industry, biodiversity informatics, vegetation-plot, releve, Geography, Biodiversity informatics, database, phytosociology, releve´, vegetation plot, Settore BIO/03 - Botanica Ambientale E Applicata, Biodiversity informatic, medicine.symptom, Large group, business, Vegetation (pathology), computer
Abstract

Two years after its official start, the national vegetation database VegItaly, a collaborative project supported by the Italian scientific community and developed by a large group of scientists, is presented. This article offers a concise overview of the content of the database, currently consisting of 31,100 vegetation plot, including published and unpublished data. Some basic statistics are analysed; for example, data distribution in space and time, represented vegetation types expressed as physiognomic categories. Although rather young and still in progress, VegItaly already contains data from all the Italian regions and stands as an optimal candidate for the development of an Italian national vegetation database. Its main goals,theoretical basis, technical features, functionalities and recent progresses are outlined, showing glimpses of future prospects.

Published
2012

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