气候变化领域集成服务门户(CCPortal): The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau

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DOI	10.1016/j.scitotenv.2020.144011
	The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau
	Huang K.; Zhang Y.; Tagesson T.; Brandt M.; Wang L.; Chen N.; Zu J.; Jin H.; Cai Z.; Tong X.; Cong N.; Fensholt R.
发表日期	2021
ISSN	489697
卷号	756
英文摘要	The Tibetan Plateau is the highest and largest plateau in the world, hosting unique alpine grassland and having a much higher snow cover than any other region at the same latitude, thus representing a “climate change hot-spot”. Land surface phenology characterizes the timing of vegetation seasonality at the per-pixel level using remote sensing systems. The impact of seasonal snow cover variations on land surface phenology has drawn much attention; however, there is still no consensus on how the remote sensing estimated start of season (SOS) is biased by the presence of preseason snow cover. Here, we analyzed SOS assessments from time series of satellite derived vegetation indices and solar-induced chlorophyll fluorescence (SIF) during 2003–2016 for the Tibetan Plateau. We evaluated satellite-based SOS with field observations and gross primary production (GPP) from eddy covariance for both snow-free and snow covered sites. SOS derived from SIF was highly correlated with field data (R2 = 0.83) and also the normalized difference phenology index (NDPI) performed well for both snow free (R2 = 0.77) and snow covered sites (R2 = 0.73). On the contrary, normalized difference vegetation index (NDVI) correlates only weakly with field data (R2 = 0.35 for snow free and R2 = 0.15 for snow covered sites). We further found that an earlier end of the snow season caused an earlier estimate of SOS for the Tibetan Plateau from NDVI as compared to NDPI. Our research therefore adds new evidence to the ongoing debate supporting the view that the claimed advance in land surface SOS over the Tibetan Plateau is an artifact from snow cover changes. These findings improve our understanding of the impact of snow on land surface phenology in alpine ecosystems, which can further improve remote sensing based land surface phenology assessments in snow-influenced ecosystems. © 2020 Elsevier B.V.
英文关键词	Physiological phenology; Snow cover; SOS; Structural phenology; Tibetan Plateau; Trend detection
语种	英语
scopus关键词	Science of the Total Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/158278
作者单位	Key Laboratory of Ecosystem Network Observation and Modeling; Institute of Geographic Sciences and Natural Resources Research; Chinese Academy of Sciences; Beijing; 100101; China; Department of Geosciences and Natural Resource Management; University of Copenhagen; Copenhagen; 1350; Denmark; Department of Physical Geography and Ecosystems Analysis; Lund University; Lund; 22100; Sweden; CAS Center for Excellence in Tibetan Plateau Earth Sciences; Beijing; 100101; China; Nanning Normal University; Key Laboratory of Environment Change and Resources Use in Beibu Gulf; Ministry of Education; Nanning; 530001; China; Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation; Nanning; 530001; China; Department of Environmental Engineering; Technical University of Denmark; Kgs. Lyngby; 2800; Denmark; Key Laboratory of Wetland Ecology and Environment; Northeast Institute of Geography and Agroecology; Chinese Academy of Sciences; Changchun; 130102; China
推荐引用方式 GB/T 7714	Huang K.,Zhang Y.,Tagesson T.,et al. The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau[J],2021,756.
APA	Huang K..,Zhang Y..,Tagesson T..,Brandt M..,Wang L..,...&Fensholt R..(2021).The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau.,756.
MLA	Huang K.,et al."The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau".756(2021).