A canopy conductance model with temporal physiological and environmental factors
Copyright © 2021 Elsevier B.V. All rights reserved..
Canopy conductance, one of the key variables in simulating evapotranspiration, is strongly influenced by the physiological status of a plant and environmental factors, including photosynthetically active radiation, vapor pressure deficit, air temperature, soil moisture and so on. However, the restrictive functions used to represent these factors rarely consider the dynamics of physiological and environmental factors. This study proposed an improved canopy conductance model by regarding radiation and vapor pressure deficit as the two main influencing factors, quantifying the temporal variation in stomatal responses to radiation that notably adjust stomatal behavior, parameterizing maximum stomatal conductance with plant type-specific functions and proposing a new restrictive function for the VPD. The improved canopy conductance model was incorporated in a surface conductance model for estimating surface conductance and evapotranspiration at 8 flux stations at the Heihe River Basin and the Haihe River Basin. The estimated results were the most accurate when comparing to two other models. Furthermore, the model performance was acceptable when most of the parameters were assumed to be constant across the sites except the reference canopy conductance Gc, ref and the soil evaporation parameter αs, which suggests that the improved canopy conductance model could be used as a parsimony model for improving canopy conductance predictions and water use efficiency over typical climate zones and underlying surface types in North of China.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2021 |
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Erschienen: |
2021 |
Enthalten in: |
Zur Gesamtaufnahme - volume:791 |
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Enthalten in: |
The Science of the total environment - 791(2021) vom: 15. Okt., Seite 148283 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Xu, Jiaming [VerfasserIn] |
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Links: |
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Themen: |
059QF0KO0R |
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Anmerkungen: |
Date Completed 23.08.2021 Date Revised 23.08.2021 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.scitotenv.2021.148283 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM329558617 |
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520 | |a Copyright © 2021 Elsevier B.V. All rights reserved. | ||
520 | |a Canopy conductance, one of the key variables in simulating evapotranspiration, is strongly influenced by the physiological status of a plant and environmental factors, including photosynthetically active radiation, vapor pressure deficit, air temperature, soil moisture and so on. However, the restrictive functions used to represent these factors rarely consider the dynamics of physiological and environmental factors. This study proposed an improved canopy conductance model by regarding radiation and vapor pressure deficit as the two main influencing factors, quantifying the temporal variation in stomatal responses to radiation that notably adjust stomatal behavior, parameterizing maximum stomatal conductance with plant type-specific functions and proposing a new restrictive function for the VPD. The improved canopy conductance model was incorporated in a surface conductance model for estimating surface conductance and evapotranspiration at 8 flux stations at the Heihe River Basin and the Haihe River Basin. The estimated results were the most accurate when comparing to two other models. Furthermore, the model performance was acceptable when most of the parameters were assumed to be constant across the sites except the reference canopy conductance Gc, ref and the soil evaporation parameter αs, which suggests that the improved canopy conductance model could be used as a parsimony model for improving canopy conductance predictions and water use efficiency over typical climate zones and underlying surface types in North of China | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Canopy conductance | |
650 | 4 | |a Evapotranspiration | |
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700 | 1 | |a Yan, Nana |e verfasserin |4 aut | |
700 | 1 | |a Zhu, Weiwei |e verfasserin |4 aut | |
700 | 1 | |a Ma, Zonghan |e verfasserin |4 aut | |
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