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Spatiotemporal Variation in Driving Factors of Vegetation Dynamics in the Yellow River Delta Estuarine Wetlands from 2000 to 2020

文献类型：期刊论文

作者Niu, Zhongen1; Si, Bingcheng1; Li, Dong2; Zhao, Ying1; Hou, Xiyong2; Li, Linlin1; Wang, Bin1; Song, Bing1; Zhang, Mengyu3; Li, Xiyu1
刊名REMOTE SENSING
出版日期2023-09-01
卷号15期号:17页码:22
关键词vegetation variations spatiotemporal heterogeneity remote sensing fusion Yellow River Delta
DOI10.3390/rs15174332
通讯作者Wang, Bin(wangbinlky@163.com)
英文摘要Previous studies of vegetation dynamics in the Yellow River Delta (YRD) predominantly relied on sparse time series or coarse-resolution images, which not only overlooked the rapid and spatially heterogeneous changes, but also limited our understanding of driving mechanisms. Here, employing spatiotemporal data fusion methods, we constructed a novel fused enhanced vegetation index (EVI) dataset with a high spatiotemporal resolution (30-meter and 8-day resolution) for the YRD from 2000 to 2020, and we analyzed the vegetation variations and their driving factors within and outside the YRD Nation Natural Reserve (YRDNRR). The fused EVI effectively captured spatiotemporal vegetation dynamics. Notably, within the YRDNRR core area, the fused EVI showed no significant trend before 2010, while a significant increase emerged post-2010, with an annual growth of 7%, the invasion of Spartina alterniflora explained 78% of this EVI increment. In the YRDNRR experimental area, the fused EVI exhibited a distinct interannual trend, which was characterized by an initial increase (2000-2006, p < 0.01), followed by a subsequent decrease (2006-2011, p < 0.01) and, ultimately, a renewed increase (2011-2020, p > 0.05); the dynamics of the fused EVI were mainly affected by the spring runoff (R-2 = 0.71), while in years with lower runoff, it was also affected by the spring precipitation (R-2 = 0.70). Outside of the protected area, the fused EVI demonstrated a substantial increase from 2000 to 2010 due to agricultural land expansion and human management practices, followed by stabilization post-2010. These findings enhance our comprehension of intricate vegetation dynamics in the YRD, holding significant relevance in terms of wetland preservation and management.
WOS关键词FUSION ; LANDSAT ; NET ; REFLECTANCE ; ALGORITHM ; CHINA ; INDEX
资助项目Natural Science Foundation of Shandong Province[ZR2022QD118] ; National Natural Science Foundation of China[32271678] ; National Natural Science Foundation of China[42201312]
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:001070084400001
资助机构Natural Science Foundation of Shandong Province ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/198545]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Bin
作者单位1.Ludong Univ, Sch Resources & Environm Engn, 186 Hongqi Zhonglu, Yantai 264025, Peoples R China
2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
3.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Zhejiang A&F Univ, Sch Environm & Resources, Hangzhou 311300, Peoples R China
5.Chongqing Univ Posts & Telecommun, Chongqing Engn Res Ctr Spatial Big Data Intelligen, Chongqing 400065, Peoples R China
推荐引用方式
GB/T 7714		 Niu, Zhongen,Si, Bingcheng,Li, Dong,et al. Spatiotemporal Variation in Driving Factors of Vegetation Dynamics in the Yellow River Delta Estuarine Wetlands from 2000 to 2020[J]. REMOTE SENSING,2023,15(17):22.
APA Niu, Zhongen.,Si, Bingcheng.,Li, Dong.,Zhao, Ying.,Hou, Xiyong.,...&Mai, Ziqi.(2023).Spatiotemporal Variation in Driving Factors of Vegetation Dynamics in the Yellow River Delta Estuarine Wetlands from 2000 to 2020.REMOTE SENSING,15(17),22.
MLA Niu, Zhongen,et al."Spatiotemporal Variation in Driving Factors of Vegetation Dynamics in the Yellow River Delta Estuarine Wetlands from 2000 to 2020".REMOTE SENSING 15.17(2023):22.

入库方式： OAI收割

来源：地理科学与资源研究所

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