Testing the maximum entropy production approach for estimating evapotranspiration from closed canopy shrubland in a low-energy humid environment

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Abstract

Quantifying and partitioning evapotranspiration (ET) into evaporation (E) and transpiration (T) is challenging but important for interpreting vegetation effects on the water balance. We applied a model based on the theory of maximum entropy production (MEP) to estimate ET for shrubs for the first time in a low-energy humid headwater catchment in the Scottish Highlands. In total, 53% of rainfall over the growing season was returned to the atmosphere through ET (59±2% as transpiration), with 22% of rainfall ascribed to interception loss and understory ET. The remainder of rainfall percolated below the rooting zone. The MEP model showed good capability for total ET estimation, in addition to providing a first approximation for distinguishing E and T in such ecosystems. This study shows that this simple and low-cost approach has potential for local to regional ET estimation with availability of high-resolution hydroclimatic data. Limitations of the approach are also discussed.
Original languageEnglish
Pages (from-to)4613-4621
Number of pages9
JournalHydrological Processes
Volume31
Issue number25
Early online date26 Oct 2017
DOIs
Publication statusPublished - 15 Dec 2017

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humid environment
shrubland
entropy
evapotranspiration
canopy
energy
transpiration
rainfall
interception
rooting
headwater
understory
water budget
shrub
growing season
partitioning
evaporation
catchment
atmosphere
ecosystem

Keywords

  • evapotranspiration
  • water balance
  • interception
  • climate change
  • northern uplands
  • maximum entropy production

Cite this

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title = "Testing the maximum entropy production approach for estimating evapotranspiration from closed canopy shrubland in a low-energy humid environment",
abstract = "Quantifying and partitioning evapotranspiration (ET) into evaporation (E) and transpiration (T) is challenging but important for interpreting vegetation effects on the water balance. We applied a model based on the theory of maximum entropy production (MEP) to estimate ET for shrubs for the first time in a low-energy humid headwater catchment in the Scottish Highlands. In total, 53{\%} of rainfall over the growing season was returned to the atmosphere through ET (59±2{\%} as transpiration), with 22{\%} of rainfall ascribed to interception loss and understory ET. The remainder of rainfall percolated below the rooting zone. The MEP model showed good capability for total ET estimation, in addition to providing a first approximation for distinguishing E and T in such ecosystems. This study shows that this simple and low-cost approach has potential for local to regional ET estimation with availability of high-resolution hydroclimatic data. Limitations of the approach are also discussed.",
keywords = "evapotranspiration, water balance, interception, climate change, northern uplands, maximum entropy production",
author = "Hailong Wang and Doerthe Tetzlaff and Chris Soulsby",
note = "We would like to thank The Leverhulme Trust (project PLATO, RPG-2014-016) and the European Research Council (ERC, project GA 335910 VeWa) for funding. We also thank three anonymous reviewers for their invaluable comments that improved the manuscript substantially. Data in this study can be accessed upon request to the authors.",
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TY - JOUR

T1 - Testing the maximum entropy production approach for estimating evapotranspiration from closed canopy shrubland in a low-energy humid environment

AU - Wang, Hailong

AU - Tetzlaff, Doerthe

AU - Soulsby, Chris

N1 - We would like to thank The Leverhulme Trust (project PLATO, RPG-2014-016) and the European Research Council (ERC, project GA 335910 VeWa) for funding. We also thank three anonymous reviewers for their invaluable comments that improved the manuscript substantially. Data in this study can be accessed upon request to the authors.

PY - 2017/12/15

Y1 - 2017/12/15

N2 - Quantifying and partitioning evapotranspiration (ET) into evaporation (E) and transpiration (T) is challenging but important for interpreting vegetation effects on the water balance. We applied a model based on the theory of maximum entropy production (MEP) to estimate ET for shrubs for the first time in a low-energy humid headwater catchment in the Scottish Highlands. In total, 53% of rainfall over the growing season was returned to the atmosphere through ET (59±2% as transpiration), with 22% of rainfall ascribed to interception loss and understory ET. The remainder of rainfall percolated below the rooting zone. The MEP model showed good capability for total ET estimation, in addition to providing a first approximation for distinguishing E and T in such ecosystems. This study shows that this simple and low-cost approach has potential for local to regional ET estimation with availability of high-resolution hydroclimatic data. Limitations of the approach are also discussed.

AB - Quantifying and partitioning evapotranspiration (ET) into evaporation (E) and transpiration (T) is challenging but important for interpreting vegetation effects on the water balance. We applied a model based on the theory of maximum entropy production (MEP) to estimate ET for shrubs for the first time in a low-energy humid headwater catchment in the Scottish Highlands. In total, 53% of rainfall over the growing season was returned to the atmosphere through ET (59±2% as transpiration), with 22% of rainfall ascribed to interception loss and understory ET. The remainder of rainfall percolated below the rooting zone. The MEP model showed good capability for total ET estimation, in addition to providing a first approximation for distinguishing E and T in such ecosystems. This study shows that this simple and low-cost approach has potential for local to regional ET estimation with availability of high-resolution hydroclimatic data. Limitations of the approach are also discussed.

KW - evapotranspiration

KW - water balance

KW - interception

KW - climate change

KW - northern uplands

KW - maximum entropy production

U2 - 10.1002/hyp.11363

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JO - Hydrological Processes

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SN - 0885-6087

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ER -