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ARS Home » Pacific West Area » Riverside, California » Agricultural Water Efficiency and Salinity Research Unit » Research » Publications at this Location » Publication #402798

Research Project: Water Management for Crop Production in Arid and Semi-Arid Regions and the Safe Use of Alternative Water Resources

Location: Agricultural Water Efficiency and Salinity Research Unit

Title: Challenges and limitations of applying the flux variance similarity (FVS) method to partition evapotranspiration in a montane cloud forest

Author
item SHIH, CHING-HUNG - National Taiwan University
item LO, MIN-HUI - National Taiwan University
item Anderson, Raymond
item Skaggs, Todd
item JUANG, EHN-YIH - National Taiwan University
item CHEN, YI-YING - Academia Sinica
item JANG, YI-SHIN - National Taiwan University
item GU, RONG-YU - National Taiwan University

Submitted to: Agricultural and Forest Meteorology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 1/7/2025
Publication Date: 3/1/2025
Citation: Shih, C., Lo, M., Anderson, R.G., Skaggs, T.H., Juang, E., Chen, Y., Jang, Y., Gu, R. 2025. Challenges and limitations of applying the flux variance similarity (FVS) method to partition evapotranspiration in a montane cloud forest. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2025.110391.
DOI: https://doi.org/10.1016/j.agrformet.2025.110391

Interpretive Summary: Partitioning evapotranspiration (ET) into its plant transpiration and soil evaporation components is critical for predicting runoff in ecosystems, such as mountain (montane) forests, that provide water for irrigated agriculture. The flux variance similarity (FVS) method is one approach to partition ET using increasingly common eddy covariance observations. However, it is unknown how well the FVS method works under unusual meteorological conditions including very high relative humidity. This study investigates the limitations of the FVS method in partitioning evapotranspiration in Chi-Lan, a montane cloud forest in Taiwan. The study found an early peak of transpiration derived from the FVS method, which contradicts the diurnal cycle of transpiration obtained from the Community Land Model and sap flow velocity or diurnal cycle of net radiation. The results suggest that the FVS method may have limitations in this region due to the unique hydro-climatological process and additional water vapor sources from canopy evaporation and mountain-valley winds. The study concludes that evapotranspiration partitioning is uncertain when applying the FVS method in Chi-Lan. The results are of interest to researchers and water managers who may use the FVS method in unusual meteorological conditions.

Technical Abstract: Partitioning evapotranspiration components is crucial for an in-depth understanding of energy, water, and carbon cycles in agricultural and forest ecosystems. In this study, the Flux Variance Similarity (FVS) method, lauded for its capability to segregate eddy covariance datasets' evapotranspiration, was applied in Taiwan's Chi-Lan montane cloud forest and the Lien-Hua-Chih forest. However, we discovered a biased early peak of transpiration using the FVS method in the Chi-Lan montane cloud forest that did not align with the diurnal cycle of transpiration obtained from the Community Land Model, observed sap flow velocity, and net radiation. This bias is attributed to the rapid increase in specific humidity, caused by additional water vapor sources from valley wind. This factor violates the FVS method's assumptions and leads to an early peak in CO2 fluxes describing the net primary production (NPP). Furthermore, the high relative humidity conditions from afternoon to evening contribute to a larger magnitude of leaf-level water use efficiency, primarily due to minimal gradients between intercellular and ambient water vapor concentrations. The early peak of net primary production and water use efficiency skew the diurnal course of estimated transpiration. Additionally, the substantial canopy evaporation in the morning and the uncertainty in water use efficiency during periods of high relative humidity contribute to the overall uncertainty in transpiration values. Consequently, the application of the FVS method in environments akin to the Chi-Lan montane cloud forest warrants caution due to the intrinsic uncertainty. Our research emphasizes the imperative to explore different evapotranspiration partitioning techniques, especially in topographies like mountainous regions where diurnal water vapor accumulation is swift and places that are consistently subjected to high relative humidity.