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BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico
BACKGROUND: Here, we describe BIOVERA-Tree, a database on tree diversity, community composition, forest structure and functional traits collected in 120 forest plots, distributed along an extensive elevational gradient in Veracruz State, Mexico. BIOVERA-Tree includes information on forest structure...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Pensoft Publishers
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445910/ https://www.ncbi.nlm.nih.gov/pubmed/34602837 http://dx.doi.org/10.3897/BDJ.9.e69560 |
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author | Monge González, María Leticia Weigelt, Patrick Guerrero-Ramírez, Nathaly Craven, Dylan Castillo-Campos, Gonzalo Krömer, Thorsten Kreft, Holger |
author_facet | Monge González, María Leticia Weigelt, Patrick Guerrero-Ramírez, Nathaly Craven, Dylan Castillo-Campos, Gonzalo Krömer, Thorsten Kreft, Holger |
author_sort | Monge González, María Leticia |
collection | PubMed |
description | BACKGROUND: Here, we describe BIOVERA-Tree, a database on tree diversity, community composition, forest structure and functional traits collected in 120 forest plots, distributed along an extensive elevational gradient in Veracruz State, Mexico. BIOVERA-Tree includes information on forest structure from three levels of forest-use intensity, namely old-growth, degraded and secondary forest, replicated across eight elevations from sea-level to near the tree line at 3500 m and on size and location of 4549 tree individuals with a diameter at breast height ≥ 5 cm belonging to 216 species, 154 genera and 80 families. We also report measurements of eight functional traits, namely wood density for 143 species, maximum height for 216 species and leaf traits including: specific leaf area, lamina density, leaf thickness, chlorophyll content and leaf area for 148 species and leaf dry matter content for 145 species. NEW INFORMATION: BIOVERA-Tree is a new database comprising data collected in a rigorous sampling design along forest-use intensity and elevational gradients, contributing to our understanding of how interactive effects of forest-use intensity and elevation affect tree diversity, community composition and functional traits in tropical forests. |
format | Online Article Text |
id | pubmed-8445910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Pensoft Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-84459102021-09-30 BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico Monge González, María Leticia Weigelt, Patrick Guerrero-Ramírez, Nathaly Craven, Dylan Castillo-Campos, Gonzalo Krömer, Thorsten Kreft, Holger Biodivers Data J Data Paper (Biosciences) BACKGROUND: Here, we describe BIOVERA-Tree, a database on tree diversity, community composition, forest structure and functional traits collected in 120 forest plots, distributed along an extensive elevational gradient in Veracruz State, Mexico. BIOVERA-Tree includes information on forest structure from three levels of forest-use intensity, namely old-growth, degraded and secondary forest, replicated across eight elevations from sea-level to near the tree line at 3500 m and on size and location of 4549 tree individuals with a diameter at breast height ≥ 5 cm belonging to 216 species, 154 genera and 80 families. We also report measurements of eight functional traits, namely wood density for 143 species, maximum height for 216 species and leaf traits including: specific leaf area, lamina density, leaf thickness, chlorophyll content and leaf area for 148 species and leaf dry matter content for 145 species. NEW INFORMATION: BIOVERA-Tree is a new database comprising data collected in a rigorous sampling design along forest-use intensity and elevational gradients, contributing to our understanding of how interactive effects of forest-use intensity and elevation affect tree diversity, community composition and functional traits in tropical forests. Pensoft Publishers 2021-09-09 /pmc/articles/PMC8445910/ /pubmed/34602837 http://dx.doi.org/10.3897/BDJ.9.e69560 Text en María Leticia Monge González, Patrick Weigelt, Nathaly Guerrero-Ramírez, Dylan Craven, Gonzalo Castillo-Campos, Thorsten Krömer, Holger Kreft https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Data Paper (Biosciences) Monge González, María Leticia Weigelt, Patrick Guerrero-Ramírez, Nathaly Craven, Dylan Castillo-Campos, Gonzalo Krömer, Thorsten Kreft, Holger BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico |
title | BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico |
title_full | BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico |
title_fullStr | BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico |
title_full_unstemmed | BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico |
title_short | BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico |
title_sort | biovera-tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in veracruz, mexico |
topic | Data Paper (Biosciences) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445910/ https://www.ncbi.nlm.nih.gov/pubmed/34602837 http://dx.doi.org/10.3897/BDJ.9.e69560 |
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