Detecting Changes of Wheat Vegetative Growth and Their Response to Climate Change Over the North China Plain
文献类型：期刊论文
| 作者 | Liu, Zhengjia; Wang, Sisi |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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| 出版日期 | 2018-12-01 |
| 卷号 | 11期号:12页码:4630-4636 |
| 关键词 | Climate change crop phenology phenology algorithms remote sensing the North China Plain (NCP) |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2018.2870329 |
| 通讯作者 | Liu, Zhengjia(liuzj@igsnrr.ac.cn) |
| 英文摘要 | Wheat vegetative growth, defined as the stage from green-up date to heading date (STAGE), is a crucial phrase, which largely affects crop yield. Previous some studies mainly focused on site-based changes of STAGE. However, there are few studies concerning large-scale changes of STAGE, which limits our understanding of regional changes of STAGE in response to climate change. Here, we introduced robust satellite-based phenological algorithms as well as third-generation global inventory modeling and mapping studies normalized difference vegetation index for the period of 1982-2015 to spatially derive winter wheat green-up date, heading date, and STAGE over croplands of the North China Plain (NCP). Changes of STAGE and their response to climate change were then investigated. Results showed that a strong predicted ability of introduced heading date algorithm was observed with r of 0.88 (p < 0.01), bias of -1.0 day and RMSE of 4.9 days. We found that unlike the patterns of winter wheat green-up and heading date, STAGE spatially decreased from southwestern to northeastern NCP with regional averaged stage of 41.2 +/- 4.6 days. Advanced green-up date faster than advanced heading date induced lengthened stage of entire NCP with 1 day/decade (R-2 = 0.11, p = 0.06). Stage of 23.4% cropland pixels performed significantly lengthened trends (p < 0.05), mainly locating in western NCP. The relationships between STAGE and climatic variables suggested that compared to precipitation, temperature was more responsible for changes of STAGE (r = 0.59, p < 0.01). This study highlights important roles of remote sensing data and satellite-based phenological algorithms for regional crop growth monitoring and management. |
| WOS关键词 | LEAF-AREA INDEX ; GREEN-UP DATE ; TIME-SERIES ; CROP MANAGEMENT ; PHENOLOGY ; IMPACTS ; VARIABILITY ; ECOSYSTEMS ; PATTERNS ; DISEASES |
| 资助项目 | National Natural Science Foundation of China[41601582] ; National Key Research and Development Program of China[2017YFC0504701] ; Start-Up Research Program of IGSNRR |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000455462100008 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China ; Start-Up Research Program of IGSNRR |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/50511]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Zhengjia |
| 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,Wang, Sisi. Detecting Changes of Wheat Vegetative Growth and Their Response to Climate Change Over the North China Plain[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2018,11(12):4630-4636. |
| APA | Liu, Zhengjia,&Wang, Sisi.(2018).Detecting Changes of Wheat Vegetative Growth and Their Response to Climate Change Over the North China Plain.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,11(12),4630-4636. |
| MLA | Liu, Zhengjia,et al."Detecting Changes of Wheat Vegetative Growth and Their Response to Climate Change Over the North China Plain".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 11.12(2018):4630-4636. |
入库方式： OAI收割
来源：地理科学与资源研究所
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