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An improved canopy interception scheme into biogeochemical model for precise simulation of carbon and water fluxes in subtropical coniferous forest

文献类型：期刊论文

作者Zhao, Fen4; Wang, Jiao2; Shang, Hua1; Xia, Lang3; Gao, Qingzhu4
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期2024-08-15
卷号355页码:13
关键词Carbon and water fluxes Temporal scale Canopy interception Improved Biome-BGC model Subtropical coniferous forest
ISSN号0168-1923
DOI10.1016/j.agrformet.2024.110117
英文摘要The process-based Biome-BGC (Biome Biogeochemical Cycles) model is widely used to simulate the fluxes of carbon and water of terrestrial ecosystems. While exhibiting excellent performance in simulating carbon cycle processes, this model provides a relatively simple simulation of the water cycle processes, particularly in canopy interception, which may result in significant errors in evapotranspiration (ET) and soil moisture estimations. This study initially refined the temporal scale of the original Biome-BGC model from a daily scale to an hourly scale, and then incorporated a theoretical interception module into the hourly-scale model for correcting canopy interception algorithm, to enhance the accuracy of hydrological processes simulations. The modified model was tested using the half-hourly observed meteorological and eddy covariance flux data at the Qianyanzhou subtropical coniferous forest site. In comparison with the original daily-scale model, simulations from the hourlyscale model showed better agreement with measurements at Qianyanzhou forest site, with 30.61 % and 40.92 % lower annual average gross primary productivity (GPP) and ET simulations. Although the accuracy of GPP and ET simulations did not show a significant improvement after canopy interception correction, it notably enhanced the accuracy of canopy interception and soil moisture simulations. The canopy interception rates were 55.8 % and 44.1 % for the original daily-scale and hourly-scale model, obviously overstimated compared with canopy correction simulation (31.1 %), leading to a significant underestimation of runoff. The canopy interception and runoff simulations after interception correction were proven relatively more reasonable. Additionally, the coefficient of determination (R2) for measured vs simulated soil water content (SWC) were 0.38, 0.51 and 0.60 for the original daily-scale, hourly-scale, and canopy interception correction simulations respectively, with a notable improvement in accuracy. This study suggested that improvements in temporal scale and canopy interception for process-based biogeochemical model can provide a better understanding of the carbon and water exchanges in response to instantaneous meteorological conditions and support improved water resource management.
WOS关键词REVISED GASH MODEL ; BIOME-BGC MODEL ; RAINFALL INTERCEPTION ; ECOSYSTEM RESPIRATION ; SENSITIVITY-ANALYSIS ; HYDROLOGIC PROCESSES ; PHOTOSYNTHESIS ; TEMPERATURE ; SOIL ; PLANTATION
资助项目National Natural Science Foundation of China[42301442] ; Open project of State Key Laboratory of Efficient Utilization of Arid and Semi -arid Arable Land in Northern China ; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences[EUAL-2023-02]
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001261239700001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Open project of State Key Laboratory of Efficient Utilization of Arid and Semi -arid Arable Land in Northern China ; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/207817]  
专题黄河三角洲现代农业工程实验室_外文论文
通讯作者Xia, Lang; Gao, Qingzhu
作者单位1.Rutgers State Univ, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ 08901 USA
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China
3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Beijing 100081, Peoples R China
4.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Fen,Wang, Jiao,Shang, Hua,et al. An improved canopy interception scheme into biogeochemical model for precise simulation of carbon and water fluxes in subtropical coniferous forest[J]. AGRICULTURAL AND FOREST METEOROLOGY,2024,355:13.
APA Zhao, Fen,Wang, Jiao,Shang, Hua,Xia, Lang,&Gao, Qingzhu.(2024).An improved canopy interception scheme into biogeochemical model for precise simulation of carbon and water fluxes in subtropical coniferous forest.AGRICULTURAL AND FOREST METEOROLOGY,355,13.
MLA Zhao, Fen,et al."An improved canopy interception scheme into biogeochemical model for precise simulation of carbon and water fluxes in subtropical coniferous forest".AGRICULTURAL AND FOREST METEOROLOGY 355(2024):13.

入库方式： OAI收割

来源：地理科学与资源研究所

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