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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...

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Autores principales: Monge González, María Leticia, Weigelt, Patrick, Guerrero-Ramírez, Nathaly, Craven, Dylan, Castillo-Campos, Gonzalo, Krömer, Thorsten, Kreft, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2021
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.
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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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