rTRIPLEXCWFlux: An R package for carbon–water coupling model to simulate net ecosystem productivity and evapotranspiration in forests

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期刊论文

作者：

Sun, Shulan;Ouyang, Shuai;Hu, Yanting;Zhao, Zhonghui;Liu, Meixian;...

通讯作者：

Xiang, Wenhua(xiangwh2005@163.com)

作者机构：

[Ouyang, Shuai; Hu, Yanting; Chen, Liang; Sun, Shulan; Zhao, Zhonghui; Xiang, Wenhua; Zeng, Yelin] Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.

[Ouyang, Shuai; Hu, Yanting; Chen, Liang; Sun, Shulan; Zhao, Zhonghui; Xiang, Wenhua] Huitong Natl Stn Sci Observat & Res Chinese Fir Pl, Huitong 438107, Hunan, Peoples R China.

[Liu, Meixian] Sun Yat sen Univ, Sch Civil Engn, Zhuhai 519082, Peoples R China.

[Zhou, Xiaolu; Peng, Changhui] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.

[Peng, Changhui] Univ Quebec Montreal, Inst Environm Sci, Dept Biol Sci, Case Postale 8888,Succ Ctr Ville, Montreal, PQ 338, Canada.

通讯机构：

[Wenhua Xiang] F

Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China<&wdkj&>Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, Hunan, 438107, China

语种：

英文

关键词：

Carbon–water flux;Coupling model;Drought stress;Fluxnet tower observation;R package

期刊：

Environmental Modelling & Software

ISSN：

1364-8152

年：

2023

卷：

162

页码：

105661

DOI：

10.1016/j.envsoft.2023.105661

基金类别：

This study was supported by the Key Research and Development Program of Hunan Province [ 2021NK2031 ], the National Key Research and Development Program of China [ 2021YFD22004 ], the Science and Technology Innovation Program of Hunan Province [ 2021RC3104 ], and the Huitong Forest Ecological Station funded by the State Forestry and Grassland Administration of China [ 2021132078 ].

机构署名：

本校为第一机构

院系归属：

生命科学与技术学院

摘要：

Carbon and water cycles in forest ecosystems are tightly coupled, but global warming-induced soil and atmospheric droughts alter the coupling, thereby greatly increasing uncertainty in predicting carbon and water cycles. Therefore, a carbon–water coupled model (TRIPLEX-CW-Flux) was developed, and an R package (rTRIPLEXCWFlux) was created to facilitate model application. TRIPLEX-CW-Flux integrates vapor pressure deficit and soil moisture into a stomatal conductance submodule to estimate forest carbon and water fluxes. Prediction accuracy of TRI...

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rTRIPLEXCWFlux: An R package for carbon–water coupling model to simulate net ecosystem productivity and evapotranspiration in forests

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