BOREAS TE-10: Leaf Gas Exchange in Boreal Vegetation
Updated 2mo ago
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Available on 2 platforms
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Description
1994 and 1996 growing seasons provide measurements of assimilation, stomatal conductance, transpiration, internal CO2 concentration, and water use efficiency from boreal vegetation in the SSA. The data set was collected by the BOREAS TE-10 team using a portable gas exchange system to characterize plant physiological properties. It supports efforts to interpret information on reflectance, transmittance, and biochemical content like chlorophyll, carbon, hydrogen, and nitrogen.
Use Cases
Modeling boreal forest carbon uptake based on assimilation and internal CO2 concentration measurements.
Studying plant water use strategies using transpiration and water use efficiency data.
Calibrating remote sensing estimates of vegetation health with ground measurements of stomatal conductance.
Analyzing seasonal physiological changes in boreal species during the 1994 and 1996 growing seasons.
Strengths
Contains direct physiological measurements from two distinct growing seasons (1994 and 1996).
Data collection is associated with the large-scale BOREAS project led by NASA.
Covers multiple key gas exchange variables: assimilation, conductance, transpiration, internal CO2, and water use efficiency.
Limitations
Column names and exact data structure are unknown, limiting immediate usability.
Conflicting 'last updated' dates between sources (1994 vs. 2026) create uncertainty about data currency.
Precise row count and file size metadata are missing from all platform entries.
Provenance
Source
BOREAS TE-10 team, associated with the National Aeronautics and Space Administration (NASA).
Collection Method
Field measurements collected using a portable gas exchange system.
Time Range
Growing seasons of 1994 and 1996.
Freshness
Last updated dates conflict: one source states 1994-09-15, another states 2026-03-13.
Geography
SSA (likely the BOREAS Southern Study Area in the boreal forest).
License is specified as 'other-license-specified'; users must investigate the exact terms. Data files may be in multiple formats including ZIP, TEXT, and PDF.