U.S. Department of EnergyOffice of Scientific and Technical Information
Harmonized wood density data for Central Amazon species in the BIONTE experimental area in Manaus, Brazil
Abstract
BIONTE (BIOmass and NuTrient Experiment) is a selective logging experiment established at the Experimental Station of Tropical Forestry (EEST, aka “ZF2”) field research station in the mid 1980s in the central Amazon (Higuchi et al. 1997, Amaral et al. 2019). The main data related to BIONTE are available as a separate dataset (Lima et al. 2022). Only species identified within the BIONTE plots were included in this dataset. Wood density, expressed in g cm-3, was collated from multiple sources that were integrated to compose the wood density for BIONTE. The starting point used was wood density data available from Chave et al. (2006), which was then adapted by Marra et al. (2016) and Marra et al. (2018). We also included data collected and synthesized by Ramírez-Méndez (2018) and Gimenez et al.(2021), who combined local estimates of wood density at the site with other sources collected in the Central Amazon. Data are included in .csv files, while BIONTE_WD_headers.txt provides descriptions of data file headers.
- Authors:
-
- Lawrence Berkeley National Laboratory; Lawrence Berkeley National Lab
- National Institute for Amazon Research (INPA)
- National Institute of Amazon Research (INPA)
- Embrapa (Brazil)
- Lawrence Berkeley National Laboratory
- INPA
- Publication Date:
- Other Number(s):
- NGT0194
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Next-Generation Ecosystem Experiments Tropics; National Institute for Amazon Research (INPA) and Lawrence Berkeley National Laboratory (LBNL)
- Sponsoring Org.:
- National Institute for Amazon Research (INPA); DOE Office of Science-Biological and Environmental Research (BER) program
- Subject:
- 54 ENVIRONMENTAL SCIENCES
- OSTI Identifier:
- 1898906
- DOI:
- https://doi.org/10.15486/ngt/1898906
Citation Formats
Pastorello, Gilberto, Lima, Adriano, Gimenez, Bruno, Longo, Marcos, Chambers, Jeff, and Higuchi, Niro. Harmonized wood density data for Central Amazon species in the BIONTE experimental area in Manaus, Brazil. United States: N. p., 2023.
Web. doi:10.15486/ngt/1898906.
Pastorello, Gilberto, Lima, Adriano, Gimenez, Bruno, Longo, Marcos, Chambers, Jeff, & Higuchi, Niro. Harmonized wood density data for Central Amazon species in the BIONTE experimental area in Manaus, Brazil. United States. doi:https://doi.org/10.15486/ngt/1898906
Pastorello, Gilberto, Lima, Adriano, Gimenez, Bruno, Longo, Marcos, Chambers, Jeff, and Higuchi, Niro. 2023.
"Harmonized wood density data for Central Amazon species in the BIONTE experimental area in Manaus, Brazil". United States. doi:https://doi.org/10.15486/ngt/1898906. https://www.osti.gov/servlets/purl/1898906. Pub date:Sun Dec 31 23:00:00 EST 2023
@article{osti_1898906,
title = {Harmonized wood density data for Central Amazon species in the BIONTE experimental area in Manaus, Brazil},
author = {Pastorello, Gilberto and Lima, Adriano and Gimenez, Bruno and Longo, Marcos and Chambers, Jeff and Higuchi, Niro},
abstractNote = {BIONTE (BIOmass and NuTrient Experiment) is a selective logging experiment established at the Experimental Station of Tropical Forestry (EEST, aka “ZF2”) field research station in the mid 1980s in the central Amazon (Higuchi et al. 1997, Amaral et al. 2019). The main data related to BIONTE are available as a separate dataset (Lima et al. 2022). Only species identified within the BIONTE plots were included in this dataset. Wood density, expressed in g cm-3, was collated from multiple sources that were integrated to compose the wood density for BIONTE. The starting point used was wood density data available from Chave et al. (2006), which was then adapted by Marra et al. (2016) and Marra et al. (2018). We also included data collected and synthesized by Ramírez-Méndez (2018) and Gimenez et al.(2021), who combined local estimates of wood density at the site with other sources collected in the Central Amazon. Data are included in .csv files, while BIONTE_WD_headers.txt provides descriptions of data file headers.},
doi = {10.15486/ngt/1898906},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Dec 31 23:00:00 EST 2023},
month = {Sun Dec 31 23:00:00 EST 2023}
}