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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2019
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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. |
format | Online Article Text |
id | pubmed-6920475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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