Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean
文献类型：期刊论文
| 作者 | Huang, Lingxiao5,6; Liu, Meng2,3,4; Yao, Na1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 15期号:20页码:17 |
| 关键词 | ecosystem water use efficiency cropland remote sensing PMLv2 MODIS |
| DOI | 10.3390/rs15204922 |
| 通讯作者 | Liu, Meng(liumeng01@caas.cn) |
| 英文摘要 | Accurate quantification of ecosystem water use efficiency (eWUE) over agroecosystems is crucial for managing water resources and assuring food security. Currently, the uncoupled Moderate Resolution Imaging Spectroradiometer (MODIS) product is the most widely applied dataset for simulating local, regional, and global eWUE across different plant functional types. However, it has been rarely investigated as to whether the coupled product can outperform the uncoupled product in eWUE estimations for specific C4 and C3 crop species. Here, the eWUE as well as gross primary production (GPP) and evapotranspiration (ET) from the uncoupled MODIS product and the coupled Penman-Monteith-Leuning version 2 (PMLv2) product were evaluated against the in-situ observations on eight-day and annual scales (containing 1902 eight-day and 61 annual samples) for C4 maize and C3 soybean at the five cropland sites from the FLUXNET2015 and AmeriFlux datasets. Our results show the following: (1) For GPP estimates, the PMLv2 product showed paramount improvements for C4 maize and slight improvements for C3 soybean, relative to the MODIS product. (2) For ET estimates, both products performed similarly for both crop species. (3) For eWUE estimates, the coupled PMLv2 product achieved higher-accuracy eWUE estimates than the uncoupled MODIS product at both eight-day and annual scales. Taking the result at an eight-day scale for example, compared to the MODIS product, the PMLv2 product could reduce the root mean square error (RMSE) from 2.14 g C Kg-1 H2O to 1.36 g C Kg-1 H2O and increase the coefficient of determination (R2) from 0.06 to 0.52 for C4 maize, as well as reduce the RMSE from 1.33 g C Kg-1 H2O to 0.89 g C Kg-1 H2O and increase the R2 from 0.05 to 0.49 for C3 soybean. (4) Despite the outperformance of the PMLv2 product in eWUE estimations, both two products failed to differentiate C4 and C3 crop species in their model calibration and validation processes, leading to a certain degree of uncertainties in eWUE estimates. Our study not only provides an important reference for applying remote sensing products to derive reliable eWUE estimates over cropland but also indicates the future modification of the current remote sensing models for C4 and C3 crop species. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; LIGHT RESPONSE CURVE ; RATE V-CMAX ; EDDY COVARIANCE ; GLOBAL EVAPOTRANSPIRATION ; PHOTOSYNTHESIS MODEL ; MODIS ; FLUX ; SOIL ; IMPROVEMENTS |
| 资助项目 | The authors sincerely appreciate the staff members from the FLUXNET2015 and AmeriFlux network for providing meteorological and flux data and the MODIS and PMLv2 data teams for providing the GPP and ET products. |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001093606100001 |
| 资助机构 | The authors sincerely appreciate the staff members from the FLUXNET2015 and AmeriFlux network for providing meteorological and flux data and the MODIS and PMLv2 data teams for providing the GPP and ET products. |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/199177]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Meng |
| 作者单位 | 1.Minist Agr & Rural Affairs, Inst Rural Dev & Construct, Acad Agr Planning & Engn, Beijing 100125, Peoples R China 2.Univ Strasbourg, ICube Lab, UMR 7357, CNRS, F-67412 Illkirch Graffenstaden, France 3.Minist Agr & Rural Affairs, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China 4.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Beijing 100081, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Lingxiao,Liu, Meng,Yao, Na. Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean[J]. REMOTE SENSING,2023,15(20):17. |
| APA | Huang, Lingxiao,Liu, Meng,&Yao, Na.(2023).Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean.REMOTE SENSING,15(20),17. |
| MLA | Huang, Lingxiao,et al."Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean".REMOTE SENSING 15.20(2023):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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