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Spatially Explicit Modeling of Coupled Water and Carbon Processes Using a Distributed Ecohydrological Model in the Upper Heihe Watershed, China
Jin, Huiyu1,2; Chen, Baozhang1,2,3,4; Sun, Shaobo5; Zhang, Huifang2,3; Measho, Simon2,3; Lin, Xiaofeng2,3; Guo, Lifeng1,2,3
2019-06-01
Source PublicationWATER
ISSN2073-4441
Volume11Issue:6Pages:17
Corresponding AuthorChen, Baozhang(baozhang.chen@igsnrr.ac.cn)
AbstractA fully coupled simulation of ecophysiological, hydrological and biochemical processes is significant for better understanding the individual and interactional impact of sophisticated land surface processes under future disturbances from nature and human beings. In this study, we spatially explicitly modelled evapotranspiration (ET) and photosynthesis (GPP) using a distributed hydrological model, Dynamic Land Model DLM-Ecohydro, over the Upper Heihe watershed for the years of 2013 and 2014. After considering the lateral water movements, the model fairly captured the variations in ET (R-2 = 0.82, RMSE = 1.66 mm/day for 2013; R-2 = 0.83, RMSE = 1.53 mm/day for 2014) and GPP (R-2 = 0.71, RMSE = 5.25 gC/m(2)/day for 2013; R-2 = 0.81, RMSE = 3.38 gC/m(2)/day for 2014) compared with the measurements from the Arou monitoring station. Vegetation transpiration accounted for total ET of around 65% and 64% in 2013 and 2014, respectively. A large spatial variability was found in these two indicators (14.30-885.36 mm/year for annual ET and 0-2174 gC/m(2)/day for annual GPP) over the watershed. Soil texture and vegetation functional types were the major factors affecting ET and GPP spatial variability, respectively. The study manifested a coupled water-carbon mechanism through the strong linear relationship between the variations in ET and GPP and the control of hydrological processes on the carbon cycle at the watershed scale. Although the model had a reasonable performance during most parts of the growing seasons, the lack of a soil freezing-thawing scenario caused inevitable discrepancies for the simulation of soil water and heat transfer mechanisms, hence inaccurately estimating the biophysiological processes in the transition period of winter to spring, which should be further improved especially for alpine regions.
Keywordcoupled water-carbon processes hydro-ecological modeling lateral water fluxes evapotranspiration photosynthesis
DOI10.3390/w11061242
WOS KeywordUSE EFFICIENCIES ; EDDY-COVARIANCE ; PHOTOSYNTHESIS ; ECOSYSTEM ; SOIL ; FOREST ; LEAF ; LANDSCAPE ; BALANCE ; CANOPY
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2018YFA0606001] ; National Key R&D Program of China[2017YFA0604301] ; National Key R&D Program of China[2017YFA0604302] ; National Key R&D Program of China[2017YFC0503904] ; international partnership program of Chinese Academy of Sciences[131A11KYSB20170025] ; State Key Laboratory of Resources and Environmental Information System[O88RA901YA] ; State Key Laboratory of Resources and Environmental Information System[O8R8A085YA] ; National Natural Science Foundation of China[41771114]
Funding OrganizationNational Key R&D Program of China ; international partnership program of Chinese Academy of Sciences ; State Key Laboratory of Resources and Environmental Information System ; National Natural Science Foundation of China
WOS Research AreaWater Resources
WOS SubjectWater Resources
WOS IDWOS:000475346300130
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58234
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Baozhang
Affiliation1.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Jiangsu, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, 19A Yuquan Rd, Beijing 100049, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
5.Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin 300072, Peoples R China
Recommended Citation
GB/T 7714
Jin, Huiyu,Chen, Baozhang,Sun, Shaobo,et al. Spatially Explicit Modeling of Coupled Water and Carbon Processes Using a Distributed Ecohydrological Model in the Upper Heihe Watershed, China[J]. WATER,2019,11(6):17.
APA Jin, Huiyu.,Chen, Baozhang.,Sun, Shaobo.,Zhang, Huifang.,Measho, Simon.,...&Guo, Lifeng.(2019).Spatially Explicit Modeling of Coupled Water and Carbon Processes Using a Distributed Ecohydrological Model in the Upper Heihe Watershed, China.WATER,11(6),17.
MLA Jin, Huiyu,et al."Spatially Explicit Modeling of Coupled Water and Carbon Processes Using a Distributed Ecohydrological Model in the Upper Heihe Watershed, China".WATER 11.6(2019):17.
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