Forest Evapotranspiration and Energy Flux Partitioning Based on Eddy Covariance Methods in an Arid Desert Region of Northwest China

Joint Authors

Feng, Qi
Su, Yong-hong
Ma, Xiaohong
Yu, Tengfei
Jin, Hua

Source

Advances in Meteorology

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-06-12

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Physics

Abstract EN

In this study, the characteristics of energy flux partitioning and evapotranspiration of P.

euphratica forests were examined in the extreme arid region of Northwest China.

Energy balance closure of the ecosystem was approximately 72% (H + LE = 0.72 ∗ (Rn-G)+7.72, r2=0.79, n=12095), where Rn is the net radiation, G is the soil heat flux, H is the sensible heat flux, and LE is the latent heat flux.

LE was the main term of energy consumption at annual time scale because of higher value in the growing season.

The ratios of the latent (LE) and sensible (H) heat fluxes to net radiation were 0.47 and 0.28 throughout the year, respectively.

Moreover, the yearly evapotranspiration of P.

euphratica forests was 744 mm year−1.

And the mean daily ET was 5.09 mm·d−1 in the vibrant growing season.

In particular, a small spike in the actual evapotranspiration distribution occurred during the soil ablation period due to the higher temperature and sufficient soil moisture associated with soil thawing.

This period is accompanied by a series of physical processes, such as moisture transfer and heat exchange.

American Psychological Association (APA)

Ma, Xiaohong& Feng, Qi& Su, Yong-hong& Yu, Tengfei& Jin, Hua. 2017. Forest Evapotranspiration and Energy Flux Partitioning Based on Eddy Covariance Methods in an Arid Desert Region of Northwest China. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1122515

Modern Language Association (MLA)

Ma, Xiaohong…[et al.]. Forest Evapotranspiration and Energy Flux Partitioning Based on Eddy Covariance Methods in an Arid Desert Region of Northwest China. Advances in Meteorology No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1122515

American Medical Association (AMA)

Ma, Xiaohong& Feng, Qi& Su, Yong-hong& Yu, Tengfei& Jin, Hua. Forest Evapotranspiration and Energy Flux Partitioning Based on Eddy Covariance Methods in an Arid Desert Region of Northwest China. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1122515

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1122515