Predicting Forest Evapotranspiration by Coupling Carbon and Water Cycling Based on a Critical Stomatal Conductance Model
文献类型：期刊论文
| 作者 | Liu, Zhengjia; Wu, Chaoyang; Wang, Sisi |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2017-10-01 |
| 卷号 | 10期号:10页码:4469-4477 |
| 关键词 | Canopy stomatal conductance evapotranspiration (ET) gross primary production (GPP) remote sensing Shuttleworth-Wallace (SW) model |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2017.2715077 |
| 通讯作者 | Wu, Chaoyang(hefery@163.com) |
| 英文摘要 | Quantifying forest evapotranspiration (ET) is essential for understanding of climatic response of forest carbon and water cycling. However, there are still large uncertainties in forest ET predictions, especially in plant transpiration (PT). The poor estimations of forestETand PT are largely attributed to the neglect of wet canopy evaporation and uncertainties in the stomatal conductance. Thus, by coupling a revised Ball-Woodrow-Berry (BWB) model, a precipitation intercepted algorithm and the gross primary production (GPP) model to Shuttleworth-Wallace (SW) model, this study introduced a modified SW (SWm) model. The performances of this model were subsequently tested in three different forest sites with long-term observed records. Compared with previous models, SWm had a canopy stomatal scheme with stronger ecological significance and simpler GPP estimation scheme. Our analyses reveal the following. 1) SWm evidently improves the agreements between estimated and measured ET compared to original SW (R-2 increasing by 0.19-0.68). SWm could more accurately partition PT and evaporation, when compared with an earlier BWB-based SW (R-2 increasing by similar to 0.03). This finding also supports the use of Lohammer function in semiempirical model of stomatal conductance. 2) Accurate predictions of GPP are helpful for improving ET estimations in SWm (r = 0.73, p < 0.01), suggesting that carbon and water fluxes are inherently linked. 3) In addition to GPP, leaf area index evidently affects the performances of estimated ET in SWm. These results suggest that critically coupling carbon and water cycling are very important for improving forest ET prediction. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; SHUTTLEWORTH-WALLACE ; SURFACE-TEMPERATURE ; DATA SET ; MODIS ; TRANSPIRATION ; VEGETATION ; ECOSYSTEM ; PRODUCTIVITY ; HUMIDITY |
| 资助项目 | National Natural Science Foundation of China[41601582] ; National Natural Science Foundation of China[41371013] ; National Natural Science Foundation of China[41522109] ; China Postdoctoral Science Foundation[2016M590149] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000412626500020 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/62080]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Chaoyang |
| 作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Zhengjia,Wu, Chaoyang,Wang, Sisi. Predicting Forest Evapotranspiration by Coupling Carbon and Water Cycling Based on a Critical Stomatal Conductance Model[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2017,10(10):4469-4477. |
| APA | Liu, Zhengjia,Wu, Chaoyang,&Wang, Sisi.(2017).Predicting Forest Evapotranspiration by Coupling Carbon and Water Cycling Based on a Critical Stomatal Conductance Model.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,10(10),4469-4477. |
| MLA | Liu, Zhengjia,et al."Predicting Forest Evapotranspiration by Coupling Carbon and Water Cycling Based on a Critical Stomatal Conductance Model".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 10.10(2017):4469-4477. |
入库方式： OAI收割
来源：地理科学与资源研究所
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。