Community weighted mean trait data of Italian forest understories

Plant functional trait data aggregated at the community level (i.e., community weighted mean, CWM) are fundamental to study plant-environment relationships. Here, we provide a large database of CWM values of twelve traits reflecting several plant functions, including leaf, seed, whole-plant, clonal...

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Autores principales: Chelli, Stefano, Ottaviani, Gianluigi, Campetella, Giandiego, Canullo, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920475/
https://www.ncbi.nlm.nih.gov/pubmed/31886369
http://dx.doi.org/10.1016/j.dib.2019.104947
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author Chelli, Stefano
Ottaviani, Gianluigi
Campetella, Giandiego
Canullo, Roberto
author_facet Chelli, Stefano
Ottaviani, Gianluigi
Campetella, Giandiego
Canullo, Roberto
author_sort Chelli, Stefano
collection PubMed
description Plant functional trait data aggregated at the community level (i.e., community weighted mean, CWM) are fundamental to study plant-environment relationships. Here, we provide a large database of CWM values of twelve traits reflecting several plant functions, including leaf, seed, whole-plant, clonal and bud bank traits. The CWMs were calculated in 201 forest stands (a statistically representative sample of all the Italian forests) across three biogeographic regions: Alpine, Continental, and Mediterranean.
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spelling pubmed-69204752019-12-27 Community weighted mean trait data of Italian forest understories Chelli, Stefano Ottaviani, Gianluigi Campetella, Giandiego Canullo, Roberto Data Brief Agricultural and Biological Science Plant functional trait data aggregated at the community level (i.e., community weighted mean, CWM) are fundamental to study plant-environment relationships. Here, we provide a large database of CWM values of twelve traits reflecting several plant functions, including leaf, seed, whole-plant, clonal and bud bank traits. The CWMs were calculated in 201 forest stands (a statistically representative sample of all the Italian forests) across three biogeographic regions: Alpine, Continental, and Mediterranean. Elsevier 2019-12-05 /pmc/articles/PMC6920475/ /pubmed/31886369 http://dx.doi.org/10.1016/j.dib.2019.104947 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Agricultural and Biological Science
Chelli, Stefano
Ottaviani, Gianluigi
Campetella, Giandiego
Canullo, Roberto
Community weighted mean trait data of Italian forest understories
title Community weighted mean trait data of Italian forest understories
title_full Community weighted mean trait data of Italian forest understories
title_fullStr Community weighted mean trait data of Italian forest understories
title_full_unstemmed Community weighted mean trait data of Italian forest understories
title_short Community weighted mean trait data of Italian forest understories
title_sort community weighted mean trait data of italian forest understories
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920475/
https://www.ncbi.nlm.nih.gov/pubmed/31886369
http://dx.doi.org/10.1016/j.dib.2019.104947
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