Machine learning estimates of eddy covariance carbon flux in a scrub in the Mexican highland
<p>Arid and semiarid ecosystems contain relatively high species diversity and are subject to intense use, in particular extensive cattle grazing, which has favored the expansion and encroachment of perennial thorny shrubs into the grasslands, thus decreasing the value of the rangeland. However...
Main Authors: | A. Guevara-Escobar, E. González-Sosa, M. Cervantes-Jiménez, H. Suzán-Azpiri, M. E. Queijeiro-Bolaños, I. Carrillo-Ángeles, V. H. Cambrón-Sandoval |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-01-01
|
Series: | Biogeosciences |
Online Access: | https://bg.copernicus.org/articles/18/367/2021/bg-18-367-2021.pdf |
Similar Items
-
Methane flux measurements in rice by static flux chamber and eddy covariance
by: Michele L. Reba, et al.
Published: (2020-01-01) -
Eddy covariance flux measurements of pollutant gases in urban Mexico City
by: E. Velasco, et al.
Published: (2009-10-01) -
Random uncertainties of flux measurements by the eddy covariance technique
by: Ü. Rannik, et al.
Published: (2016-10-01) -
First eddy covariance flux measurements by PTR-TOF
by: M. Müller, et al.
Published: (2010-03-01) -
Eddy covariance flux measurements of pollutant gases in urban Mexico City
by: Velasco, Erik, et al.
Published: (2011)