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Characterizing Vegetation Phenology Shifts on the Loess Plateau over Past Two Decades

文献类型：期刊论文

作者Wu, Tong7; Xu, Xiaoqian7; Chen, Xinsen7; Lyu, Shixuan6; Zhang, Guotao5; Kong, Dongdong4; Zhang, Yongqiang3; Tang, Yijuan2; Chen, Yun1; Zhang, Junlong7
刊名REMOTE SENSING
出版日期2024-07-01
卷号16期号:14页码:18
关键词phenology Loess Plateau changing environment climate change
DOI10.3390/rs16142583
英文摘要Phenology is a critical mirror reflecting vegetation growth and has a major impact on terrestrial ecosystems. The Loess Plateau (LP) is a paramount ecological zone in China that has experienced considerable vegetation changes. However, understanding the dynamics of vegetation phenology is limited by ambiguous vegetation interpretation and anthropogenic-induced forces. This study combined the multi-climatic and anthropogenic datasets to characterize the interactions between phenology shifts and environmental variables. The principal findings were as follows: (1) Phenological shifts exhibit spatial heterogeneity and an interannually increasing trend in greenness (R-2 > 0.6, p < 0.05). Notably, SOS (the start of the growing season) advances while EOS (the end of the growing season) delays in both the southeastern and northwestern regions. (2) SOS and EOS, primarily in the range of 100-150 and 285-320 days, respectively. Phenological changes vary depending on vegetation types. The forest has an early SOS, within 80-112 days, and a delayed EOS, within 288-320 days. The SOS of shrub is mainly within 80-144 days. (3) EOS shows a strong response to the preseason of each climate variable. Precipitation (R = 0.76), soil moisture (R = -0.64), and temperature (R = 0.89) are the governing determinants in shaping vegetation phenology. In addition, agriculture and urbanization play a significant role in shaping the spatial variations of SOS. These findings provide a basis for a systematic understanding of the processes that affect vegetation growth, which is crucial for maintaining the health and sustainability of arid and semiarid ecosystems.
WOS关键词SURFACE SOIL-MOISTURE ; CLIMATE-CHANGE ; COVER ; CHINA ; IMPACTS ; RESPONSES ; DYNAMICS ; DATASET ; MODELS ; AUTUMN
资助项目National Natural Science Foundation of China[42101038] ; National Natural Science Foundation of China[42201086] ; Natural Science Foundation of Shandong Province[ZR2019BD059] ; Natural Science Foundation of the Ningxia Hui Autonomous Region[2022AAC03668] ; China Scholarship Council[202308060113]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001278887200001
出版者MDPI
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Shandong Province ; Natural Science Foundation of the Ningxia Hui Autonomous Region ; China Scholarship Council
源URL[http://ir.igsnrr.ac.cn/handle/311030/207102]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Zhang, Junlong
作者单位1.CSIRO Entomol, Canberra, ACT 2601, Australia
2.Remote Sensing Surveying & Mapping Inst Ningxia Hu, Yinchuan 750021, Peoples R China
3.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan 430074, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat CAS, Beijing 100101, Peoples R China
6.Univ British Columbia, Dept Earth Environm & Geog Sci, Kelowna, BC V1V 1V7, Canada
7.Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Tong,Xu, Xiaoqian,Chen, Xinsen,et al. Characterizing Vegetation Phenology Shifts on the Loess Plateau over Past Two Decades[J]. REMOTE SENSING,2024,16(14):18.
APA Wu, Tong.,Xu, Xiaoqian.,Chen, Xinsen.,Lyu, Shixuan.,Zhang, Guotao.,...&Zhang, Junlong.(2024).Characterizing Vegetation Phenology Shifts on the Loess Plateau over Past Two Decades.REMOTE SENSING,16(14),18.
MLA Wu, Tong,et al."Characterizing Vegetation Phenology Shifts on the Loess Plateau over Past Two Decades".REMOTE SENSING 16.14(2024):18.

入库方式： OAI收割

来源：地理科学与资源研究所

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