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Title: Leaf isoprene and monoterpene emission data-set across hyperdominant tree genera in the Amazon basin

Abstract

This data package contains the analyzed data used to support the publication "Leaf isoprene and monoterpene emission distribution across hyperdominant tree genera in the Amazon basin," Phytochemistry, in-press. Data was collected from 162 trees across four sites in the Amazon. For all leaf samples studied for volatile isoprenoid emissions, branch cuttings were conducted in the upper canopy with sun exposed leaves with the assistance of a tree climber utilizing a pole pruner or directly accessed from flux towers. Large branches were removed from the upper canopy (up to 0.5-1.0 meter in length) and rapidly recut on the ground under water to maintain the transpiration stream. Net photosynthesis and isoprene and monoterpene emission rates were quantified from leaves during controlled changes in photosynthetically active radiation (PAR) using a commercial leaf photosynthesis system (LI-6400XT, LI-COR Inc., USA) interfaced with a gas chromatograph-mass spectrometer (GC-MS, 5975C series, Agilent Technologies, USA). For detailed methods and raw data, refer to the publication and related material cited in Dataset References.

Creator(s)/Author(s):
; ; ; ;
Publication Date:
Other Number(s):
NGT0126
DOE Contract Number:  
DE-AC02-05CH11231
Product Type:
Dataset
Research Org.:
Next-Generation Ecosystem Experiments Tropics; Lawrence Berkeley National Laboratory; National Institute for Amazon Research (INPA)
Sponsoring Org.:
U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1602142
DOI:
10.15486/ngt/1602142

Citation Formats

Jardine, Kolby, Zorzanelli, Raquel, Gimenez, Bruno, Robles, Emily, and Rosa, Luani. Leaf isoprene and monoterpene emission data-set across hyperdominant tree genera in the Amazon basin. United States: N. p., 2020. Web. doi:10.15486/ngt/1602142.
Jardine, Kolby, Zorzanelli, Raquel, Gimenez, Bruno, Robles, Emily, & Rosa, Luani. Leaf isoprene and monoterpene emission data-set across hyperdominant tree genera in the Amazon basin. United States. doi:10.15486/ngt/1602142.
Jardine, Kolby, Zorzanelli, Raquel, Gimenez, Bruno, Robles, Emily, and Rosa, Luani. 2020. "Leaf isoprene and monoterpene emission data-set across hyperdominant tree genera in the Amazon basin". United States. doi:10.15486/ngt/1602142. https://www.osti.gov/servlets/purl/1602142. Pub date:Wed Jan 01 00:00:00 EST 2020
@article{osti_1602142,
title = {Leaf isoprene and monoterpene emission data-set across hyperdominant tree genera in the Amazon basin},
author = {Jardine, Kolby and Zorzanelli, Raquel and Gimenez, Bruno and Robles, Emily and Rosa, Luani},
abstractNote = {This data package contains the analyzed data used to support the publication "Leaf isoprene and monoterpene emission distribution across hyperdominant tree genera in the Amazon basin," Phytochemistry, in-press. Data was collected from 162 trees across four sites in the Amazon. For all leaf samples studied for volatile isoprenoid emissions, branch cuttings were conducted in the upper canopy with sun exposed leaves with the assistance of a tree climber utilizing a pole pruner or directly accessed from flux towers. Large branches were removed from the upper canopy (up to 0.5-1.0 meter in length) and rapidly recut on the ground under water to maintain the transpiration stream. Net photosynthesis and isoprene and monoterpene emission rates were quantified from leaves during controlled changes in photosynthetically active radiation (PAR) using a commercial leaf photosynthesis system (LI-6400XT, LI-COR Inc., USA) interfaced with a gas chromatograph-mass spectrometer (GC-MS, 5975C series, Agilent Technologies, USA). For detailed methods and raw data, refer to the publication and related material cited in Dataset References.},
doi = {10.15486/ngt/1602142},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}