Leaf gas exchange, leaf water potential and spectral reflectance, BIONTE, Brazil, 2023
Abstract
Leaf traits measured at the top of the canopy on 30 tree species in the BIONTE experimental forest, near Manaus, Brazil, at three time points during August to November, 2023. The aim of this study was to test the relationship between leaf water use efficiency and wood density. Leaf gas exchange was measured on top-of-canopy leaves accessed by an articulated boom lift. Response curves (A-Ci and A-Q), and dark adapted respiration were measured on cut branches. Survey gas exchange measurements were performed on attached leaves at various times during the day. Following gas exchange, leaves were harvested, and measured for leaf water potential and spectral reflectance. Data in this data package is presented in csv files, with metadata in csv and descriptive experimental protocols as pdf. Gas exchange data and metadata meets the requirements of the ESS-DIVE reporting format for leaf-level gas exchange data and metadata.
- Authors:
-
- Brookhaven National Laboratory; Lawrence Berkeley National Lab
- Instituto Nacional de Pesquisas da Amazônia
- National Institute of Amazon Research (INPA)
- Lawrence Berkeley National Laboratory
- Brookhaven National Laboratory
- Publication Date:
- Other Number(s):
- NGT0211
- DOE Contract Number:
- SC0012704
- Research Org.:
- Next-Generation Ecosystem Experiments Tropics; Brookhaven National Laboratory; Instituto Nacional de Pesquisas da Amazônia (INPA); Centre de Recherche sur la Biodiversité et l'Environnement (CRBE)
- Sponsoring Org.:
- U.S. Department of Energy Office of Science Office of Biological and Environmental Research
- Subject:
- 54 ENVIRONMENTAL SCIENCES
- OSTI Identifier:
- 2337880
- DOI:
- https://doi.org/10.15486/ngt/2337880
Citation Formats
Lamour, Julien, Souza, Daisy, Gimenez, Bruno, Oliveira, Regison, Ely, Kim, Plácido, Antonia Débora Lima, Menezes, Valdiek, and Rogers, Alistair. Leaf gas exchange, leaf water potential and spectral reflectance, BIONTE, Brazil, 2023. United States: N. p., 2023.
Web. doi:10.15486/ngt/2337880.
Lamour, Julien, Souza, Daisy, Gimenez, Bruno, Oliveira, Regison, Ely, Kim, Plácido, Antonia Débora Lima, Menezes, Valdiek, & Rogers, Alistair. Leaf gas exchange, leaf water potential and spectral reflectance, BIONTE, Brazil, 2023. United States. doi:https://doi.org/10.15486/ngt/2337880
Lamour, Julien, Souza, Daisy, Gimenez, Bruno, Oliveira, Regison, Ely, Kim, Plácido, Antonia Débora Lima, Menezes, Valdiek, and Rogers, Alistair. 2023.
"Leaf gas exchange, leaf water potential and spectral reflectance, BIONTE, Brazil, 2023". United States. doi:https://doi.org/10.15486/ngt/2337880. https://www.osti.gov/servlets/purl/2337880. Pub date:Sun Dec 31 23:00:00 EST 2023
@article{osti_2337880,
title = {Leaf gas exchange, leaf water potential and spectral reflectance, BIONTE, Brazil, 2023},
author = {Lamour, Julien and Souza, Daisy and Gimenez, Bruno and Oliveira, Regison and Ely, Kim and Plácido, Antonia Débora Lima and Menezes, Valdiek and Rogers, Alistair},
abstractNote = {Leaf traits measured at the top of the canopy on 30 tree species in the BIONTE experimental forest, near Manaus, Brazil, at three time points during August to November, 2023. The aim of this study was to test the relationship between leaf water use efficiency and wood density. Leaf gas exchange was measured on top-of-canopy leaves accessed by an articulated boom lift. Response curves (A-Ci and A-Q), and dark adapted respiration were measured on cut branches. Survey gas exchange measurements were performed on attached leaves at various times during the day. Following gas exchange, leaves were harvested, and measured for leaf water potential and spectral reflectance. Data in this data package is presented in csv files, with metadata in csv and descriptive experimental protocols as pdf. Gas exchange data and metadata meets the requirements of the ESS-DIVE reporting format for leaf-level gas exchange data and metadata.},
doi = {10.15486/ngt/2337880},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Dec 31 23:00:00 EST 2023},
month = {Sun Dec 31 23:00:00 EST 2023}
}
