Artículo o Paper
BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico
Fecha
2021-09-09Registro en:
González, M. L. M., Weigelt, P., Guerrero-Ramírez, N., Craven, D., Castillo-Campos, G., Krömer, T., & Kreft, H. (2021). BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico. Biodiversity Data Journal, 9.
1314-2836
eISSN 1314-2828
WOS: 000697024000002
PMID: 34602837
10.3897/BDJ.9.e69560
Autor
González, María Leticia Monge
Weigelt, Patrick
Guerrero-Ramírez, Nathaly
Craven, Dylan [Univ Mayor, Fac Ciencias, Ctr Modelac & Monitoreo & Ecosistemas, Chile]
Castillo-Campos, Gonzalo
Kromer, Thorsten
Kreft, Holger
Institución
Resumen
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.