Leaf gas exchange, spectral reflectance and leaf composition, BIONTE, Brazil, 2022

Author(s): Lamour J; Souza D; Gimenez B; Plácido A; Rodrigues de Oliveira L; Rogers A

Dataset Information


Site Name: Manaus - ZF2 BIONTE

Variables: Leaf chemistry; Leaf gas exchange; Leaf mass area; Leaf spectra; Remote sensing; Wood density

Date Range: Aug. 10, 2022 - Sept. 7, 2022

Description: Leaf traits measured at the top of the canopy on 10 species at the BIONTE experimental plot T1B4SB3, near Manaus, Brazil, in August and September, 2022. The aim of this study was to test the relationship between leaf water use efficiency and wood density. Ten tree species located in close proximity of each other (within 50 meters) were selected and classified by wood density (low or high). Sampling was carried out on top-of-canopy leaves accessed by an articulated boom lift. Survey gas exchange measurement were performed on attached leaves at various times during the day. Following gas exchange, the leaf was harvested, and measured for spectral reflectance, leaf water content, leaf mass per area and leaf carbon content and leaf nitrogen content. Additional leaves other than those used for gas exchange were also harvested from different branches on the same tree for spectral reflectance and leaf trait measurements. 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 gas exchange data and metadata.


Methods Description: Survey gas exchange measurements were made on top-of-canopy, sunlit leaves using a LI-COR 6400 XT photosynthesis system (LI-COR Biosciences, Lincoln NE, USA). Full spectrum (350 – 2500 nm) leaf reflectance was measured on detached leaves using an ASD FieldSpec 3 (ASD Inc, Boulder CO, USA). Leaf samples of a known area were obtained using a leaf punch, and weighed before and after drying to obtain water content and leaf mass per area (LMA). Leaf N and C content was measured using a PerkinElmer 2400 Series II CHNS/O Elemental Analyzer (PerkinElmer, Waltham MA, USA). See the included protocol documents for a complete description of Methods.

Access Level: Public

Originating Institution(s): Brookhaven National Laboratory; Instituto Nacional de Pesquisas da Amazônia (INPA)

Sponsor Organization(s): U.S. Department of Energy Office of Science Office of Biological and Environmental Research

Contact: Rogers, Alistair - Brookhaven National Laboratory (arogers@bnl.gov)

Data Download

Version: 1.0

Dataset Citation: Lamour J; Souza D; Gimenez B; Plácido A; Rodrigues de Oliveira L; Rogers A (2024): Leaf gas exchange, spectral reflectance and leaf composition, BIONTE, Brazil, 2022. 1.0. NGEE Tropics Data Collection. (dataset). https://doi.org/10.15486/ngt/1923654

Acknowledgement: This research was supported as part of NGEE-Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under contract no. DE-SC0012704

Data Link: Download Dataset

NGEE Tropics data policy.


Lamour, J., Souza, D.C., Gimenez, B.O., Higuchi, N., Chave, J., Chambers, J. et al. (2023) Wood-density has no effect on stomatal control of leaf-level water use efficiency in an Amazonian forest. Plant, Cell & Environment, 1–16. https://doi.org/10.1111/pce.14704