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PalmTraits 1.0, a species-level functional trait database of palms worldwide
Plant traits are critical to plant form and function —including growth, survival and reproduction— and therefore shape fundamental aspects of population and ecosystem dynamics as well as ecosystem services. Here, we present a global species-level compilation of key functional traits for palms (Areca...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760217/ https://www.ncbi.nlm.nih.gov/pubmed/31551423 http://dx.doi.org/10.1038/s41597-019-0189-0 |
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author | Kissling, W. Daniel Balslev, Henrik Baker, William J. Dransfield, John Göldel, Bastian Lim, Jun Ying Onstein, Renske E. Svenning, Jens-Christian |
author_facet | Kissling, W. Daniel Balslev, Henrik Baker, William J. Dransfield, John Göldel, Bastian Lim, Jun Ying Onstein, Renske E. Svenning, Jens-Christian |
author_sort | Kissling, W. Daniel |
collection | PubMed |
description | Plant traits are critical to plant form and function —including growth, survival and reproduction— and therefore shape fundamental aspects of population and ecosystem dynamics as well as ecosystem services. Here, we present a global species-level compilation of key functional traits for palms (Arecaceae), a plant family with keystone importance in tropical and subtropical ecosystems. We derived measurements of essential functional traits for all (>2500) palm species from key sources such as monographs, books, other scientific publications, as well as herbarium collections. This includes traits related to growth form, stems, armature, leaves and fruits. Although many species are still lacking trait information, the standardized and global coverage of the data set will be important for supporting future studies in tropical ecology, rainforest evolution, paleoecology, biogeography, macroecology, macroevolution, global change biology and conservation. Potential uses are comparative eco-evolutionary studies, ecological research on community dynamics, plant-animal interactions and ecosystem functioning, studies on plant-based ecosystem services, as well as conservation science concerned with the loss and restoration of functional diversity in a changing world. |
format | Online Article Text |
id | pubmed-6760217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67602172019-10-03 PalmTraits 1.0, a species-level functional trait database of palms worldwide Kissling, W. Daniel Balslev, Henrik Baker, William J. Dransfield, John Göldel, Bastian Lim, Jun Ying Onstein, Renske E. Svenning, Jens-Christian Sci Data Data Descriptor Plant traits are critical to plant form and function —including growth, survival and reproduction— and therefore shape fundamental aspects of population and ecosystem dynamics as well as ecosystem services. Here, we present a global species-level compilation of key functional traits for palms (Arecaceae), a plant family with keystone importance in tropical and subtropical ecosystems. We derived measurements of essential functional traits for all (>2500) palm species from key sources such as monographs, books, other scientific publications, as well as herbarium collections. This includes traits related to growth form, stems, armature, leaves and fruits. Although many species are still lacking trait information, the standardized and global coverage of the data set will be important for supporting future studies in tropical ecology, rainforest evolution, paleoecology, biogeography, macroecology, macroevolution, global change biology and conservation. Potential uses are comparative eco-evolutionary studies, ecological research on community dynamics, plant-animal interactions and ecosystem functioning, studies on plant-based ecosystem services, as well as conservation science concerned with the loss and restoration of functional diversity in a changing world. Nature Publishing Group UK 2019-09-24 /pmc/articles/PMC6760217/ /pubmed/31551423 http://dx.doi.org/10.1038/s41597-019-0189-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Kissling, W. Daniel Balslev, Henrik Baker, William J. Dransfield, John Göldel, Bastian Lim, Jun Ying Onstein, Renske E. Svenning, Jens-Christian PalmTraits 1.0, a species-level functional trait database of palms worldwide |
title | PalmTraits 1.0, a species-level functional trait database of palms worldwide |
title_full | PalmTraits 1.0, a species-level functional trait database of palms worldwide |
title_fullStr | PalmTraits 1.0, a species-level functional trait database of palms worldwide |
title_full_unstemmed | PalmTraits 1.0, a species-level functional trait database of palms worldwide |
title_short | PalmTraits 1.0, a species-level functional trait database of palms worldwide |
title_sort | palmtraits 1.0, a species-level functional trait database of palms worldwide |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760217/ https://www.ncbi.nlm.nih.gov/pubmed/31551423 http://dx.doi.org/10.1038/s41597-019-0189-0 |
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