Spruce Leaf, Tree Traits, and Respiration at Range Extremes, AK and NY, USA, 2018

Description

This dataset provides in situ measurements of needle-level gas-exchange and leaf traits from Picea glauca (white spruce) from a field site located in the northern latitudinal forest-tundra ecotone (FTE) near the Dalton Highway in northern Alaska, and from one study site located in Black Rock Forest, New York, USA. Measurements were collected with an open flow portable photosynthesis system (Li6400XT) and custom-built temperature-controlled cuvette. Respiration as a function of leaf temperature was measured continuously as the needle temperature was ramped from approximately 5 to 65 degrees C, at a constant rate of 1 degree C per minute. Additional data include tree diameter at breast height (dbh), leaf area, photosynthetic rate, intercellular C02, conductance to H20, tree height, and data from raw temperature curves. Results are reported on both a leaf area and leaf mass basis. The data are for the period 2018-06-06 to 2018-06-23 and are provided in comma-separated (CSV) format.

Resources

Name Format Description Link
The dataset's project home page HTML ABoVE project site Open resource
Download this dataset HTML This link allows direct data access via Earthdata login Open resource
Get a related visualization JPG Species distribution for white spruce, Picea glauca. The southern range limit site, Black Rock Forest, Cornwall, NY, is marked with the red star. The arctic treeline site in northern Alaska is marked with a yellow star. Map from USGS from Thompson et al. (1999), in Griffin et al. (2022). Open resource
View documentation related to this dataset HTML ORNL DAAC Data Set Documentation Open resource
View documentation related to this dataset PDF Spruce Leaf, Tree Traits, and Respiration at Range Extremes, AK and NY, USA, 2018: ArcticTreeLine_Spruce_CO2_WV.pdf Open resource
This dataset's landing page HTML Data set Landing Page DOI URL Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource

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