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

doi:10.3390/rs15174332

	Spatiotemporal Variation in Driving Factors of Vegetation Dynamics in the Yellow River Delta Estuarine Wetlands from 2000 to 2020
	Niu, Zhongen 1; Si, Bingcheng 1; Li, Dong 2; Zhao, Ying 1; Hou, Xiyong2 ; Li, Linlin 1; Wang, Bin 1; Song, Bing 1; Zhang, Mengyu 3; Li, Xiyu 1; Zeng, Na 4; Zhu, Xiaobo 5; Lv, Yan 3; Mai, Ziqi 1
发表期刊	REMOTE SENSING
	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
DOI	10.3390/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.
资助机构	Natural Science Foundation of Shandong Province ; National Natural Science Foundation of China
收录类别	SCI
语种	英语
关键词[WOS]	FUSION ; LANDSAT ; NET ; REFLECTANCE ; ALGORITHM ; CHINA ; INDEX
研究领域[WOS]	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001070084400001
引用统计
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/32882
专题	中国科学院海岸带环境过程与生态修复重点实验室中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
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.