Soil Evaporation in a Shaded Coffee Plantation Derived From Eddy Covariance Measurements

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Abstract

Little is known about soil evaporation (Esoil) in shaded coffee plantations. In this study, Esoil and its proportion to total evapotranspiration and rainfall (P) were quantified for a densely shaded Arabica coffee plantation (~80% tree cover) in central Veracruz, Mexico, using eddy covariance (EC) measurements made above the tree canopy and at the boundary between the stem space and canopy of the coffee crop. While measurements above the canopy were made continuously during the 1-year study period (October 2016 to September 2017), this was not possible for the above-soil level due to logistical considerations, and hence, annual Esoil was calculated from a relationship between the ratio of the actual to the equilibrium Esoil and surface soil water content. This empirical model was calibrated using 31 days of EC measurements, representing the range in surface soil water content observed during the study period. Examining the above-canopy and above-soil EC measurements for quality yielded similar results with regard to stationarity (99% and 85% of the time, respectively) and degree of energy balance closure (81% and 96%, respectively). The permanent and relatively dense vegetation cover provided by the shade trees and coffee plants reduced net radiation at the soil surface to only about 12% of the above-canopy value. Consequently, Esoil was a minor fraction of evapotranspiration (10–13%) and P (8–9%), with the spread reflecting uncertainties related to the failure to close the energy balance. In addition to the low-energy availability, Esoil may have been reduced by the presence of a litter layer.

Original languageEnglish
Pages (from-to)1472-1490
Number of pages19
JournalJournal of Geophysical Research: Biogeosciences
Volume124
Issue number6
Early online date7 May 2019
DOIs
Publication statusPublished - Jun 2019

Funding

The authors would like to thank the Martínez-Gama family for permitting us to work in their coffee plantation, as well as Daniel Tejeda and Samuel Flores for facilitating access to the site. This research was funded by grants from the National Science Foundation (award NSF-CNH 1313804) and CONACyT (award 187646). The data analysis and most of the writing of the paper was completed during a sabbatical of F. Holwerda at the VU University Amsterdam, The Netherlands, with A. Meesters. F. Holwerda thanks DGAPA-UNAM-PASPA for its financial support during the sabbatical. Furthermore, F. Holwerda would like to thank H. Dolman for his hospitality during the stay at the VU University. Finally, the authors would like to thank the two reviewers and the Editor for their helpful feedback. The data on which the figures and analyses in this article were based can be accessed in the supporting information. The authors would like to thank the Martínez‐Gama family for permitting us to work in their coffee plantation, as well as Daniel Tejeda and Samuel Flores for facilitating access to the site. This research was funded by grants from the National Science Foundation (award NSF‐CNH 1313804) and CONACyT (award 187646). The data analysis and most of the writing of the paper was completed during a sabbatical of F. Holwerda at the VU University Amsterdam, The Netherlands, with A. Meesters. F. Holwerda thanks DGAPA‐UNAM‐ PASPA for its financial support during the sabbatical. Furthermore, F. Holwerda would like to thank H. Dolman for his hospitality during the stay at the VU University. Finally, the authors would like to thank the two reviewers and the Editor for their help ful feedback. The data on which the figures and analyses in this article were based can be accessed in the supporting information.

FundersFunder number
DGAPA-UNAM-PASPA
National Science FoundationNSF‐CNH 1313804
Vrije Universiteit Amsterdam
Consejo Nacional de Ciencia y Tecnología187646

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 2 - Zero Hunger
      SDG 2 Zero Hunger

    Keywords

    • agroforestry
    • eddy covariance method
    • evapotranspiration
    • shaded coffee
    • soil evaporation
    • water availability

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