Modeling the environmental controls on tree water use at different temporal scales

Hailong Wang, Huade Guan, Craig T Simmons

Research output: Contribution to journalArticle

13 Citations (Scopus)
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Abstract

Tree water use (Ec) can be simulated from environmental variables. Such Ec models can be categorized as firstly the Penman-Monteith (PM) equation where canopy conductance (gc) is simulated from the Jarvis-Stewart (JS) approach, secondly the models modified from the JS approach that link Ec directly with environmental variables (MJS), avoiding the calculation of gc, and thirdly process-based models that incorporate plant physiological functions. Tree water use and canopy conductance are constrained by the root-zone soil water supply and atmospheric demand (e.g., radiation, temperature, humidity and wind speed). This study aims to determine which type of Ec models performs better at the daily and hourly scales, and which influencing factors are more critical for Ec modeling at each time scale. The transferability of parameter values across temporal scales is also examined as this is a common issue that modelers need to deal with. The results show that the MJS and a simplified process-based model (BTA) models produce generally better simulations than the PM models at the hourly scale, and the best PM model gives comparable results to the best MJS model at the daily scale. BTA fails at the daily scale on the tree under water stress likely due to its incorporation of soil water availability into an integrated parameter. Soil water content function is more important for daily Ec modeling than hourly in all models. For MJS models, soil water content function has a stronger influence than air temperature on hourly Ec modeling, while no significant difference is observed in the PM models. Parameter values are not transferrable across temporal scales; and calibrating parameters in each season rather than in the first a number of days of all seasons improves Ec simulations.
Original languageEnglish
Pages (from-to)24-35
Number of pages12
JournalAgricultural and Forest Meteorology
Volume225
Early online date20 May 2016
DOIs
Publication statusPublished - 15 Sep 2016

Fingerprint

water use
modeling
soil water
environmental control
water content
canopy
Penman-Monteith equation
water stress
water availability
simulation
rhizosphere
humidity
air temperature
water supply
wind velocity
timescale
parameter

Keywords

  • Canopy conductance
  • Sap flow
  • Soil moisture
  • Stem water potential
  • Transpiration

Cite this

Modeling the environmental controls on tree water use at different temporal scales. / Wang, Hailong; Guan, Huade; Simmons, Craig T.

In: Agricultural and Forest Meteorology, Vol. 225, 15.09.2016, p. 24-35.

Research output: Contribution to journalArticle

Wang, Hailong ; Guan, Huade ; Simmons, Craig T. / Modeling the environmental controls on tree water use at different temporal scales. In: Agricultural and Forest Meteorology. 2016 ; Vol. 225. pp. 24-35.
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abstract = "Tree water use (Ec) can be simulated from environmental variables. Such Ec models can be categorized as firstly the Penman-Monteith (PM) equation where canopy conductance (gc) is simulated from the Jarvis-Stewart (JS) approach, secondly the models modified from the JS approach that link Ec directly with environmental variables (MJS), avoiding the calculation of gc, and thirdly process-based models that incorporate plant physiological functions. Tree water use and canopy conductance are constrained by the root-zone soil water supply and atmospheric demand (e.g., radiation, temperature, humidity and wind speed). This study aims to determine which type of Ec models performs better at the daily and hourly scales, and which influencing factors are more critical for Ec modeling at each time scale. The transferability of parameter values across temporal scales is also examined as this is a common issue that modelers need to deal with. The results show that the MJS and a simplified process-based model (BTA) models produce generally better simulations than the PM models at the hourly scale, and the best PM model gives comparable results to the best MJS model at the daily scale. BTA fails at the daily scale on the tree under water stress likely due to its incorporation of soil water availability into an integrated parameter. Soil water content function is more important for daily Ec modeling than hourly in all models. For MJS models, soil water content function has a stronger influence than air temperature on hourly Ec modeling, while no significant difference is observed in the PM models. Parameter values are not transferrable across temporal scales; and calibrating parameters in each season rather than in the first a number of days of all seasons improves Ec simulations.",
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