Over the last decades plant ecology has greatly benefited from open data on functional traits. Nowadays, several national and international trait databases are available, but trait data from Southern European countries are generally missing or underrepresented. In addition, most of the available databases lack detailed trait information at the intraspecific level, an important source of trait variation linked to species potential for adaptation. Data were gathered from 21 Italian research groups. Individual measurements of leaf area (LA) and specific leaf area (SLA) for the most abundant vascular plant species were provided at the plot level using standardised protocols of trait measurement. The ITV-net dataset includes 8,518 records of leaf area (LA) and specific leaf area (SLA) in 1,043 georeferenced plots spanning most of the Italian peninsula and eight EUNIS habitat types. Individual LA and SLA measurements are available for 709 native and alien species (77 families, 353 genera). The ITV-net dataset is freely available in the Zenodo repository and will contribute to expanding research on a largely underrated source of trait variation and on its ecological consequences.

ITV-net: a dataset of intraspecific leaf traits data across major Italian habitats / Stefano Chelli, Alessandro Bricca, Francesco Petruzzellis, Enrico Tordoni, Giacomo Calvia, Alicia T.R Acosta, Giovanni Bacaro, Eleonora Beccari, Liliana Bernardo, Gianmaria Bonari, Rossano Bolpagni, Francesco Boscutti, Giandiego Campetella, Laura Cancellieri, Roberto Canullo, Michele Carbognani, Marta Carboni, Maria Laura Carranza, Maria Beatrice Castellani, Daniela Ciccarelli, Andrea Coppi, Maurizio Cutini, Alice Dalla Vecchia, Michele Dalle Fratte, Pieter De Frenne, Michele De Sanctis, Leopoldo de Simone, Valter Di Cecco, Giuliano Fanelli, Emmanuele Farris, Arianna Ferrara, Giuseppe Fenu, Goffredo Filibeck, Cristina Gasperini, Domenico Gargano, Elisabeth Kindermann, Greta La Bella, Lorenzo Lastrucci, Lorenzo Lazzaro, Simona Maccherini, Michela Marignani, Michele Mugnai, Luigi Naselli-Flores, Nicodemo Passalacqua, Nicola Pavanetto, Alessandro Petraglia, Francesco Rota, Federico Selvi, Aldo Schettino, Angela Stanisci, Giacomo Trotta, Pieter Vangansbeke, Marco Varricchione, Marco Vuerich, Camilla Wellstein & Giacomo Puglielli. - In: PLANT BIOSYSTEMS. - ISSN 1724-5575. - STAMPA. - ----:(2025), pp. 2025.2531885.1-2025.2531885.9. [10.1080/11263504.2025.2531885]

ITV-net: a dataset of intraspecific leaf traits data across major Italian habitats

Maria Beatrice Castellani;Andrea Coppi;Leopoldo de Simone;Cristina Gasperini;Lorenzo Lastrucci;Lorenzo Lazzaro;Michele Mugnai;Federico Selvi;
2025

Abstract

Over the last decades plant ecology has greatly benefited from open data on functional traits. Nowadays, several national and international trait databases are available, but trait data from Southern European countries are generally missing or underrepresented. In addition, most of the available databases lack detailed trait information at the intraspecific level, an important source of trait variation linked to species potential for adaptation. Data were gathered from 21 Italian research groups. Individual measurements of leaf area (LA) and specific leaf area (SLA) for the most abundant vascular plant species were provided at the plot level using standardised protocols of trait measurement. The ITV-net dataset includes 8,518 records of leaf area (LA) and specific leaf area (SLA) in 1,043 georeferenced plots spanning most of the Italian peninsula and eight EUNIS habitat types. Individual LA and SLA measurements are available for 709 native and alien species (77 families, 353 genera). The ITV-net dataset is freely available in the Zenodo repository and will contribute to expanding research on a largely underrated source of trait variation and on its ecological consequences.
2025
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9
Goal 15: Life on land
Stefano Chelli, Alessandro Bricca, Francesco Petruzzellis, Enrico Tordoni, Giacomo Calvia, Alicia T.R Acosta, Giovanni Bacaro, Eleonora Beccari, Lili...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1431094
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