气候变化领域集成服务门户(CCPortal): The spatiotemporal scale effect on vegetation interannual trend estimates based on satellite products over Qinghai-Tibet Plateau

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DOI	10.1007/s11442-023-2113-y
	The spatiotemporal scale effect on vegetation interannual trend estimates based on satellite products over Qinghai-Tibet Plateau
	Ma, Dujuan; Wu, Xiaodan; Wang, Jingping; Mu, Cuicui
发表日期	2023
ISSN	1009-637X
EISSN	1861-9568
起始页码	924
结束页码	944
卷号	33 期号:5
英文摘要	The trend estimate of vegetation change is essential to understand the change rule of the ecosystem. Previous studies were mainly focused on quantifying trends or analyzing their spatial distribution characteristics. Nevertheless, the uncertainties of trend estimates caused by spatiotemporal scale effects have rarely been studied. In response to this challenge, this study aims to investigate spatiotemporal scale effects on trend estimates using Moderate-Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) and Gross Primary Productivity (GPP) products from 2001 to 2019 in the Qinghai-Tibet Plateau (QTP). Moreover, the possible influencing factors on spatiotemporal scale effect, including spatial heterogeneity, topography, and vegetation types, were explored. The results indicate that the spatial scale effect depends more on the dataset with a coarser spatial resolution, and temporal scale effects depend on the time span of datasets. Unexpectedly, the trend estimates on the 8-day and yearly scale are much closer than that on the monthly scale. In addition, in areas with low spatial heterogeneity, low topography variability, and sparse vegetation, the spatiotemporal scale effect can be ignored, and vice versa. The results in this study help deepen the consciousness and understanding of spatiotemporal scale effects on trend detection.
关键词	spatiotemporal scale effect satellite dataset trend estimates NDVI influencing factors GPP
英文关键词	NDVI TRENDS; MODIS; CONSISTENCY; AVHRR; PHENOLOGY; COVERAGE; DATASETS; GIMMS
WOS研究方向	Geography, Physical
WOS记录号	WOS:000980419400002
来源期刊	JOURNAL OF GEOGRAPHICAL SCIENCES
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/283160
作者单位	Lanzhou University; Southern Marine Science & Engineering Guangdong Laboratory; Southern Marine Science & Engineering Guangdong Laboratory (Zhuhai)
推荐引用方式 GB/T 7714	Ma, Dujuan,Wu, Xiaodan,Wang, Jingping,et al. The spatiotemporal scale effect on vegetation interannual trend estimates based on satellite products over Qinghai-Tibet Plateau[J],2023,33(5).
APA	Ma, Dujuan,Wu, Xiaodan,Wang, Jingping,&Mu, Cuicui.(2023).The spatiotemporal scale effect on vegetation interannual trend estimates based on satellite products over Qinghai-Tibet Plateau.JOURNAL OF GEOGRAPHICAL SCIENCES,33(5).
MLA	Ma, Dujuan,et al."The spatiotemporal scale effect on vegetation interannual trend estimates based on satellite products over Qinghai-Tibet Plateau".JOURNAL OF GEOGRAPHICAL SCIENCES 33.5(2023).