Site ID:
BR-Cax; BR-Sa1
Site Name:
Caxiuana Forest-Almeirim; Santarem - K67
Variables:
Leaf Area; Leaf pressure-volume (PV) parameters
Date Range:
Jan. 11, 2011
-
July 30, 2011
Description:
This dataset contains pressure volume curve measurements on leaves of canopy trees from the from the Caxiuana and Tapajos National Forests, Para, Brazil. Tapajos samples were harvested from the km 67 forested area, which is adjacent to the decommissioned throughfall exclusion drought experimental plot. Caxiuana samples were harvested from trees growing in the throughfall exclusion plots. Data were collected in 2011. The attached zip file contains two CSV files, one from each site, with the following information: date of measurement, site ID, plot ID, tree ID (species, tree tag #), leaf area, fresh weight, relative weight, leaf water potential, and leaf water loss. P-V curve parameters (turgor loss point, osmotic potential, and bulk modulus of elasticity) can be found in Powell et al. (2017) Differences in xylem cavitation resistance and leaf hydraulic traits explain differences in drought tolerance among mature Amazon rainforest trees. Global Change Biology.
QA/QC:
Full QA-QC
Methods Description:
Third to fifth healthy leaf from apex was harvested. Spurious data were removed. See Powell et al. (2017) for complete details about measurements and processing.
Access Level:
Public
Originating Institution(s):
Harvard University
Sponsor Organization(s):
Harvard University, Gordon and Betty Moore Foundation, National Science Foundation (DDIG and PIRE programs)
Contact:
Moorcroft, Paul - Harvard University (paul_moorcroft@harvard.edu)
Version:
1.0
Dataset Citation:
Powell T; Moorcroft P (2021): Leaf Pressure Volume Data in Caxiuana and Tapajos National Forest, Para, Brazil (2011). 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/NGT/1347606
Acknowledgement:
Collection of these data was made possible through the support of the Museu Paraense Emilio Goeldi, the LBA office in Santarém, the National Science Foundation Doctoral Dissertation Improvement Grant (NSF award # DEB-1110540), the National Science Foundation Partnership for International Research and Education in Amazon Climate Interactions grant (NSF award #OISE-0730305), the Andes-Amazon Initiative of The Gordon and Betty Moore Foundation, the Department of Organismic and Evolutionary Biology, Harvard University.
Data Link: Download Dataset
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