Global parameters sensitivity analysis of modeling water, energy and carbon exchange of an arid agricultural ecosystem
文献类型：期刊论文
| 作者 | Wu, Mousong1,2; Ran, Youhua3; Jansson, Per-Erik4; Chen, Peng5,6,7; Tan, Xiao8; Zhang, Wenxin2 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2019-06-15 |
| 卷号 | 271页码:295-306 |
| 关键词 | Arid agricultural ecosystem Parameter sensitivity index Equifinality Water-carbon coupling Remote sensing |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2019.03.007 |
| 通讯作者 | Ran, Youhua(ranyh@lzb.ac.cn) ; Zhang, Wenxin(wenxin.zhang@nateko.lu.se) |
| 英文摘要 | Agricultural ecosystems are important for regulating terrestrial hydrological and carbon cycles. Hydrological and carbon processes in agricultural ecosystem models are complex due to interactions between parameters. It is therefore crucial to identify parameter sensitivity before a process-based model is applied for simulations and predictions of water, energy and carbon fluxes in agricultural ecosystems. In this study, we investigated the sensitivity and equifinality of the CoupModel parameters in modeling an arid agricultural ecosystem in northwestern China. In total, 27 model parameters were analyzed using a global parameters sensitivity analysis approach and a combination of multiple in situ and remotely sensed data sets. Among the five major model processes, we found that the energy balance process account for much of the importance in the model, followed by soil hydrology, plant growth, soil heat, and soil carbon processes. Meanwhile, parameters from the plant growth process exhibited higher equifinalities than other processes. We found that net ecosystem exchange (NEE) is controlled by soil heat, soil hydrology and energy balance processes, which is mainly due to a high equifinality (0.91) between the parameters g(max) (maximal stomatal conductance) and V-cmax (maximal carboxylation rate). The equifinalities between different parameters result in a trade-off in model performance metrics (i.e. determination coefficient R-2 and mean error ME) in the water, energy and carbon balance simulations. We revealed that daytime and yearly accumulated eddy fluxes (sensible heat H-s, latent heat LE and NEE) can constrain the model parameters better. Remotely sensed data were also promising as additional constraints on soil water contents and energy fluxes. This study introduced a systematic global parameter sensitivity analysis approach together with the equifinality identification in an ecosystem model. The approach proposed here is applicable to other studies and the equifinalities detected in this study can be important implications for modelling arid agricultural ecosystems. Additional exploration on remotely sensed data in constraining the model from different aspects are highly recommended in modeling agricultural ecosystems. |
| 收录类别 | SCI |
| WOS关键词 | VEGETATION MODEL ; CALIBRATION ; UNCERTAINTY ; TEMPERATURE ; FLUXES ; ASSIMILATION ; HEAT ; PHOTOSYNTHESIS ; EQUIFINALITY ; MOISTURE |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| WOS类目 | Agronomy ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000468709200027 |
| 出版者 | ELSEVIER SCIENCE BV |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2555449 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Ran, Youhua; Zhang, Wenxin |
| 作者单位 | 1.Nanjing Univ, Sch Geog & Ocean Sci, Int Inst Earth Syst Sci ESSI, Nanjing 210023, Jiangsu, Peoples R China 2.Lund Univ, Dept Phys Geog & Ecosyst Sci, SE-22362 Lund, Sweden 3.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Lanzhou, Gansu, Peoples R China 4.KTH Royal Inst Technol, Dept Sustainable Dev Environm Sci & Engn, Stockholm, Sweden 5.Hohai, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Jiangsu, Peoples R China 6.Joint Int Res Lab Global Change & Water Cycle, Nanjing, Jiangsu, Peoples R China 7.Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China 8.Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Mousong,Ran, Youhua,Jansson, Per-Erik,et al. Global parameters sensitivity analysis of modeling water, energy and carbon exchange of an arid agricultural ecosystem[J]. AGRICULTURAL AND FOREST METEOROLOGY,2019,271:295-306. |
| APA | Wu, Mousong,Ran, Youhua,Jansson, Per-Erik,Chen, Peng,Tan, Xiao,&Zhang, Wenxin.(2019).Global parameters sensitivity analysis of modeling water, energy and carbon exchange of an arid agricultural ecosystem.AGRICULTURAL AND FOREST METEOROLOGY,271,295-306. |
| MLA | Wu, Mousong,et al."Global parameters sensitivity analysis of modeling water, energy and carbon exchange of an arid agricultural ecosystem".AGRICULTURAL AND FOREST METEOROLOGY 271(2019):295-306. |
入库方式： iSwitch采集
来源：寒区旱区环境与工程研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。