title: Greater phenological sensitivity on the higher Tibetan Plateau: new insights from weekly 5 km EVI2 datasets.
abstract: Plateau vegetation is considered to be highly sensitive to climate change, especially at higher altitudes. Although the Tibetan Plateau has experienced intensive warming over the past few decades, there is much contradictory evidence regarding its phenological variations and the impact of climatic change. In this study, we explored vegetation phenology through the inflexion point-based method with the weekly 0.05° EVI2 datasets from 1982 to 2010. We observed complex spatiotemporal variations in vegetation phenology on the higher Tibetan Plateau from three aspects. From a spatial aspect, the altitudinal gradients of phenological dates, as well as their directions, varied among different altitudes over the past three decades. Compared with delaying with elevation at altitudes below 5000 m, the phenological parameters at altitudes above 5000 m significantly advanced with increasing altitudes. At higher altitudes, much stronger altitudinal gradients (slope) of phenological dates were observed in the 2000s than in the 1980s and 1990s, i.e., 2.19, 3.47, and 3.68 days' advance for start, maximum, and end dates, respectively, compared to less than 1 day's change per 100 m increase in altitude. From a temporal dynamic aspect, when analyzed at different altitudinal bands, the dynamic trends in phenological dates were generally not significant except the advancing trends in the maximum dates at altitudes above 5000 m and the delaying trend in the end dates at altitudes of 4500-5000 m in the twenty-first century. Remarkable elevation dependency was also observed at the pixel level: increasing amplitudes of phenological dynamic trends were observed at higher altitudes when obtaining their minimum around 5000 m. These spatiotemporal variations of vegetation phenology were due to combined effects from both temperature and precipitation: more abundant rainfall and greater magnitudes of dynamic trends were observed in the average daily minimum temperature (slope = 0.08 °C/year) and annual precipitation (slope = 2.17 mm/year) at higher altitudes.
authors: National Engineering Research Centre of Geospatial Information Technology, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, Fujian, 350002, China. qiubingwen@fzu.edu.cn.
authors: Bingwen
authors: http://orcid.org/0000-0001-7666-9163
authors: B
authors: Qiu
authors: National Engineering Research Centre of Geospatial Information Technology, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, Fujian, 350002, China.
authors: Jiangping
authors: J
authors: Zhong
authors: Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln, NE, 68558, USA.
authors: Zhenghong
authors: Z
authors: Tang
authors: National Engineering Research Centre of Geospatial Information Technology, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, Fujian, 350002, China.
authors: Min
authors: M
authors: Feng
authors: National Engineering Research Centre of Geospatial Information Technology, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, Fujian, 350002, China.
authors: Chongcheng
authors: C
authors: Chen
authors: National Engineering Research Centre of Geospatial Information Technology, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, Fujian, 350002, China.
authors: Xiaoqin
authors: X
authors: Wang
mesh_terms: D000531:Altitude; D057231:Climate Change; D016208:Databases, Factual; D063245:Plant Development; D011891:Rain; D063809:Satellite Imagery; D012621:Seasons; D013696:Temperature; D018609:Tibet
keywords: Altitudinal gradients; Climate change; EVI2; Phenological sensitivity; Spatiotemporal variation; Tibetan plateau