Leaf structural and chemical traits, and BNL field campaign sample details, San Lorenzo, Panama, 2020
Abstract
This data package includes leaf traits, canopy traits and sample details for leaves from 71 species sampled from the San Lorenzo forest canopy crane site, Panama (PA-SLZ) during the BNL field campaign in January to March 2020. Each leaf sample is described with species, phenological stage and location within vertical canopy profiles. Leaf area index (LAI) and height is presented for each canopy profile location. Leaf mass per area (LMA), leaf water content (LWC) and leaf carbon and nitrogen content are included for a subset of the samples. This data package includes sample details, processed data for leaf traits and LAI (*.csv), LAI raw data (compressed as *.zip) and digital camera images (*.jpg, compressed as *.zip) of the leaf samples. Metadata files include data descriptions (_dd.csv) for tabular data, a list of all species sampled during the campaign (*.csv) and a detailed description of the field campaign protocol and methods (*.pdf). See related datasets for leaf gas exchange, leaf water potential and leaf spectral measurements made on the samples described here.
- Authors:
-
- Brookhaven National Laboratory; Lawrence Berkeley National Lab
- Brookhaven National Laboratory
- Publication Date:
- Other Number(s):
- NGT0173
- DOE Contract Number:
- SC0012704
- Research Org.:
- Next-Generation Ecosystem Experiments Tropics; Brookhaven National Laboratory
- Sponsoring Org.:
- U.S. Department of Energy Office of Science Office of Biological and Environmental Research
- Subject:
- 54 ENVIRONMENTAL SCIENCES
- OSTI Identifier:
- 1783737
- DOI:
- https://doi.org/10.15486/ngt/1783737
Citation Formats
Lamour, Julien, Davidson, Kenneth, Ely, Kim, Anderson, Jeremiah, Rogers, Alistair, and Serbin, Shawn. Leaf structural and chemical traits, and BNL field campaign sample details, San Lorenzo, Panama, 2020. United States: N. p., 2022.
Web. doi:10.15486/ngt/1783737.
Lamour, Julien, Davidson, Kenneth, Ely, Kim, Anderson, Jeremiah, Rogers, Alistair, & Serbin, Shawn. Leaf structural and chemical traits, and BNL field campaign sample details, San Lorenzo, Panama, 2020. United States. doi:https://doi.org/10.15486/ngt/1783737
Lamour, Julien, Davidson, Kenneth, Ely, Kim, Anderson, Jeremiah, Rogers, Alistair, and Serbin, Shawn. 2022.
"Leaf structural and chemical traits, and BNL field campaign sample details, San Lorenzo, Panama, 2020". United States. doi:https://doi.org/10.15486/ngt/1783737. https://www.osti.gov/servlets/purl/1783737. Pub date:Sat Jan 01 04:00:00 UTC 2022
@article{osti_1783737,
title = {Leaf structural and chemical traits, and BNL field campaign sample details, San Lorenzo, Panama, 2020},
author = {Lamour, Julien and Davidson, Kenneth and Ely, Kim and Anderson, Jeremiah and Rogers, Alistair and Serbin, Shawn},
abstractNote = {This data package includes leaf traits, canopy traits and sample details for leaves from 71 species sampled from the San Lorenzo forest canopy crane site, Panama (PA-SLZ) during the BNL field campaign in January to March 2020. Each leaf sample is described with species, phenological stage and location within vertical canopy profiles. Leaf area index (LAI) and height is presented for each canopy profile location. Leaf mass per area (LMA), leaf water content (LWC) and leaf carbon and nitrogen content are included for a subset of the samples. This data package includes sample details, processed data for leaf traits and LAI (*.csv), LAI raw data (compressed as *.zip) and digital camera images (*.jpg, compressed as *.zip) of the leaf samples. Metadata files include data descriptions (_dd.csv) for tabular data, a list of all species sampled during the campaign (*.csv) and a detailed description of the field campaign protocol and methods (*.pdf). See related datasets for leaf gas exchange, leaf water potential and leaf spectral measurements made on the samples described here.},
doi = {10.15486/ngt/1783737},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Jan 01 04:00:00 UTC 2022},
month = {Sat Jan 01 04:00:00 UTC 2022}
}
