Probabilistic soil moisture dynamics of water- and energy-limited ecosystems

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Authors

Estefanía Muñoz , Andrés Ochoa , Germán Poveda, Ignacio Rodríguez-Iturbe

Abstract

This paper presents an extension of the stochastic ecohydrological model for soil moisture dynamics at a point of Rodriguez-Iturbe et al. (1999) and Laio et al. (2001). In the original model, evapotranspiration is a function of soil moisture and vegetation parameters, so that the model is suitable for water-limited environments. Our extension introduces a dependence on maximum evapotranspiration of available solar radiation, and thus our extended model is suitable for both water- and energy-limited environments. Furthermore, an analysis of the daily relationship between available energy for photosynthesis and transpiration through the stomatal conductance is carried out. This study regards the Penman-Monteith equation to model transpiration, the Leunings stomatal conductance approach, the C3 photosynthesis model of Farquhar et al., and the FLUXNET database. Results are upscaled from half-hourly to daily scale, introducing an expression of transpiration in terms of the available radiation. The sensitivity of the model is analyzed using four dimensionless groups, and the long-term water balance is evaluated for distinct values of available energy.

DOI

https://doi.org/10.31223/osf.io/au4tb

Subjects

Agriculture, Agronomy and Crop Sciences Life Sciences, Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Engineering, Environmental Sciences, Forest Sciences, Hydrology, Life Sciences, Physical Sciences and Mathematics, Plant Sciences, Statistical Models, Statistics and Probability

Keywords

evapotranspiration, PAR, soil water content, stochastic hydrology, water stress

Dates

Published: 2020-05-17 17:23

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License

CC BY Attribution 4.0 International

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