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Improved dryland carbon flux predictions with explicit consideration of water-carbon coupling
- Source :
- Communications Earth & Environment, Vol 2, Iss 1, Pp 1-9 (2021)
- Publication Year :
- 2021
- Publisher :
- Nature Portfolio, 2021.
-
Abstract
- Upscaling in situ carbon flux measurements using remotely sensed and meteorological observations in a machine learning algorithm leads to improved estimates of average uptake, and interannual variability in global drylands.
- Subjects :
- Geology
QE1-996.5
Environmental sciences
GE1-350
Subjects
Details
- Language :
- English
- ISSN :
- 26624435
- Volume :
- 2
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Communications Earth & Environment
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.09b7906fa14313a1c796d37d5d2281
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s43247-021-00308-2