Published October 27, 2023
| Version v1
Dataset
Open
Evergreen needleleaf forest pigment, MONI-PAM, eddy-covariance, and tower-scale remote sensing data across four different sites
Contributors
Data curator (5):
-
1.
University of California, Davis
-
2.
Bowdoin College
-
3.
University of Utah
-
4.
Conservation Science Partners
-
5.
Jet Propulsion Laboratory
- 6. University of California Los Angeles
Description
The data presented here are from four evergreen needleleaf forests, which include boreal forest locations in Alaska (DEJU, mean annual temperature = 0.4 degrees Celsius [°C], latitude = 63.9 degrees north [°N]) and Saskatchewan, Canada (Ca-Obs, 1.3°C, 54.0°N), a high elevation forest in Colorado (US-NR1, 2.8°C, 40.0°N), and a longleaf pine forest in Florida (OSBS, 21.1°C, 29.7°N).
Included are needle-scale pigment data from the DEJU, US-NR1, and OSBS sites; MONI-PAM fluoresence data from the DEJU site, tower-scale eddy-covariance, meterological, and remotely sensed solar-induced fluoresence and vegetation index data across all four sites.
More information on these data can be found in the accompanying publication:
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Additional details
References
- Zoe Amie Pierrat, Troy S Magney, Rui Cheng, Andrew J Maguire, Christopher Y S Wong, Magali F Nehemy, Mukund Rao, Sara E Nelson, Anneka F Williams, Jeremy A Hoyne Grosvenor, Kenneth R Smith, Jaret S Reblin, Jochen Stutz, Andrew D Richardson, Barry A Logan, David R Bowling, The biological basis for using optical signals to track evergreen needleleaf photosynthesis, BioScience, 2024;, biad116, https://doi.org/10.1093/biosci/biad116