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Biogeosciences An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/bg-2019-460
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-2019-460
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  10 Jan 2020

10 Jan 2020

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A revised version of this preprint was accepted for the journal BG and is expected to appear here in due course.

Eddy covariance carbon flux in a scrub in the Mexican highland

Aurelio Guevara-Escobar1, Enrique González-Sosa2, Mónica Cervantes-Jiménez1, Humberto Suzán-Azpiri1, Mónica Elisa Queijeiro-Bolaños1, Israel Carrillo-Ángeles1, and Victor Hugo Cambrón-Sandoval1 Aurelio Guevara-Escobar et al.
  • 1Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Av. de las Ciencias s/n Juriquilla CP. 76230, Querétaro, Querétaro, Mexico
  • 2Facultad de Ingeniería, Universidad Autónoma de Querétaro. Cerro de las Campanas s/n Las Campanas, CP. 76010 Querétaro, Querétaro, Mexico

Abstract. Vegetation fixes C in its biomass through photosynthesis or might release it into the atmosphere through respiration. Measurements of these fluxes would help us understand ecosystem functioning. The eddy covariance technique (EC) is widely used to measure the net ecosystem exchange of C (NEE) which is the balance between gross primary production (GPP) and ecosystem respiration (Reco). Orbital satellites such as MODIS can also provide estimates of GPP. In this study, we measured NEE with the EC in a scrub at Bernal in Mexico, and then partitioned into gross primary production (GPP-EC) and Reco using the recent R package Reddyproc. Measurements of GPP-EC were related to the estimates from the MODIS satellite provided in product MOD17A2H, which contains data of the gross primary productivity (GPP-MODIS). The Bernal site was a carbon sink despite it was an overgrazed site, the average NEE during fifteen months of 2017 and 2018 was −0.78 g C m−2 d−1 and the flux was negative in all measured months. The GPP-MODIS underestimated the ground data when representing the relation with a Theil-Sen regression: GPP-EC = 1.866 + 1.861 GPP-MODIS; an ordinary less squares regression had similar coefficients and the R2 was 0.6. Although cacti (CAM), legume shrubs (C3) and herbs (C3) had a similar vegetation index, the nighttime flux was characterized by positive NEE suggesting that the photosynthetic dark-cycle flux of cacti was lower than Reco. The discrepancy among the GPP flux estimates stresses the need to understand the limitations of EC and remote sensors, while incorporating complementary monitoring and modelling schemes of nighttime Reco, particularly in the presence of species with different photosynthetic cycles.

Aurelio Guevara-Escobar et al.

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Aurelio Guevara-Escobar et al.

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Eddy covariance carbon flux in a scrub in the Mexican highland A. Guevara-Escobar, E. González-Sosa, M. Cervantes-Jiménez, H. Suzan-Azpiri, M. Elisa Quijeiro-Bolaños, I. Carrillo-Angeles, and V. H. Cambrón-Sandoval https://doi.org/10.5281/zenodo.3598595

Aurelio Guevara-Escobar et al.

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Latest update: 23 Nov 2020
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Short summary
All vegetation types can sequester carbon dioxide. We compared ground measurements (Eddy covariance) and remote sensed data (MODIS) of primary production in a semiarid scrub in Mexico. The annual carbon sink for this vegetation type was −283.5 g C m−2 y−1 but MODIS was an underestimate.
All vegetation types can sequester carbon dioxide. We compared ground measurements (Eddy...
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