Author(s): Wolfe B; Cozzarelli C. Y; Jaén Barrios N
Site ID: PA-BCI; PA-PNM; PA-SLZ
Site Name: Barro Colorado Island (BCI); Parque Natural Metropolitano; Bosque Protector San Lorenzo (Fort Sherman)
Variables: Xylem Vulnerability Curve(s)
Date Range: Jan. 26, 2017 - Nov. 30, 2018
Description: Stem hydraulic conductivity and vulnerability to cavitation were measured for 26 tree species located in Panama. The data were generated to better understand the ecology of the focal tree species. Complementary NGEE-Tropics datasets for these species include sap flow, leaf-level gas exchange, and leaf water potential. Stem samples were collected from distal branches of canopy trees, brought to the Smithsonian Tropical Research Institute laboratory in Gamboa, Panama, and allowed to dry to various water potentials before measurements. For each species, a Weibull function was fit to the 90% quantile of the relationship between stem area specific hydraulic conductivity (Ks) and stem water potential. From these functions, maximum Ks and vulnerability parameters were derived. The data files in the package include raw data, derived parameters, and the R script used for analysis.
QA/QC: Full QA-QC
Methods Description: The included document "Measurement description.pdf" contains detailed methods information.
Access Level: Public
Originating Institution(s): Smithsonian Tropical Research Institute
Sponsor Organization(s): Next Generation Ecosys- tem Experiments-Tropics and by the US Department of Energy, Office of Science, Office of Biological and Environmental Research
Contact: Wolfe, Brett - Louisiana State University (btwolfe@gmail.com)
Version: 1.0
Dataset Citation: Wolfe B; Cozzarelli C. Y; Jaén Barrios N (2021): Stem hydraulic conductivity and vulnerability to cavitation for 26 tree species in Panama. 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/ngt/1770723
Acknowledgement: Funding for NGEE-Tropics data resources was provided by the U.S. Department of Energy Office of Science, Office of Biological and Environmental Research.
Data Link: Download Dataset
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