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Response of Vegetation Phenology to the Interaction of Temperature and Precipitation Changes in Qilian Mountains

文献类型：期刊论文

作者Li, Cheng1,3; Zou, Yuyang4,5; He, Jianfeng1; Zhang, Wen4; Gao, Lulu2; Zhuang, Dafang1
刊名REMOTE SENSING
出版日期2022-03-01
卷号14期号:5页码:24
关键词climate change grassland phenology Qilian Mountains GeoDetector earth observation
DOI10.3390/rs14051248
通讯作者He, Jianfeng(lulugao_2017@cau.edu.cn)
英文摘要Located at the junction between the continental climate region and marine climate region, the Qilian Mountains have experienced significant climate change. Vegetation phenology in the Qilian Mountains is sensitive to climate change. However, the response of vegetation phenology to temperature and precipitation change is still unclear, and the same is true for their interactions. First, we extracted grassland phenological parameters such as SOS (the start of the growing season), EOS (the end of the growing season), and LOS (the length of the growing season) from revised MODIS-NDVI data in the Qilian Mountains during the period from 2000 to 2019. Second, we analyzed change trends of the phenological parameters, temperature, and precipitation. Furthermore, the effects of each meteorological element changes and their interaction on multiple phenological parameters were detected using the GeoDetector method. The result implied that (1) the SOS in most areas except the northwestern mountain region showed an advanced trend (10 d/10a); the EOS showed a delayed trend in the southeast (5 d/10a), and an advanced trend (5 d/10a) in the northwest; the LOS showed an extended trend (10 d/10a) in the southeast, and a shortened trend (5 d/10a) in the northwest. (2) Compared with a single meteorological element in a single period, the interaction of temperature and precipitation in different periods had a higher impact on grassland phenology, with the maximum q-value increasing by about 0.4 for each phenological parameter. (3) The change in the grassland phenology in the Qilian Mountains was inconsistently complete with climate change in the spatial distribution. Our research reveals the response of grassland phenology to the interaction of different meteorological elements in different periods. Compared with a single element, this can reflect the response of vegetation phenology to climate change more comprehensively.
WOS关键词AUTUMN PHENOLOGY ; CLIMATE-CHANGE ; TIME-SERIES ; NDVI ; HETEROGENEITY ; EXTRACTION ; WATER
资助项目Major Special Project: the China High-Resolution Earth Observation System[30-Y30F06-9003-20/22] ; National Natural Science Foundation of China[41975118] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19080303]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000771111700001
出版者MDPI
资助机构Major Special Project: the China High-Resolution Earth Observation System ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/172920]  
专题中国科学院地理科学与资源研究所
通讯作者He, Jianfeng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China
5.Jishou Univ, Coll Civil Engn & Architecture, Zhangjiajie 427000, Peoples R China
推荐引用方式
GB/T 7714		 Li, Cheng,Zou, Yuyang,He, Jianfeng,et al. Response of Vegetation Phenology to the Interaction of Temperature and Precipitation Changes in Qilian Mountains[J]. REMOTE SENSING,2022,14(5):24.
APA Li, Cheng,Zou, Yuyang,He, Jianfeng,Zhang, Wen,Gao, Lulu,&Zhuang, Dafang.(2022).Response of Vegetation Phenology to the Interaction of Temperature and Precipitation Changes in Qilian Mountains.REMOTE SENSING,14(5),24.
MLA Li, Cheng,et al."Response of Vegetation Phenology to the Interaction of Temperature and Precipitation Changes in Qilian Mountains".REMOTE SENSING 14.5(2022):24.

入库方式： OAI收割

来源：地理科学与资源研究所

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