Literature DB >> 27783150

Greater phenological sensitivity on the higher Tibetan Plateau: new insights from weekly 5 km EVI2 datasets.

Bingwen Qiu1, Jiangping Zhong2, Zhenghong Tang3, Min Feng2, Chongcheng Chen2, Xiaoqin Wang2.   

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.

Entities:  

Keywords:  Altitudinal gradients; Climate change; EVI2; Phenological sensitivity; Spatiotemporal variation; Tibetan plateau

Mesh:

Year:  2016        PMID: 27783150     DOI: 10.1007/s00484-016-1259-z

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  12 in total

1.  Phenology. Responses to a warming world.

Authors:  J Peñuelas; I Filella
Journal:  Science       Date:  2001-10-26       Impact factor: 47.728

2.  A perfect smoother.

Authors:  Paul H C Eilers
Journal:  Anal Chem       Date:  2003-07-15       Impact factor: 6.986

3.  Winter and spring warming result in delayed spring phenology on the Tibetan Plateau.

Authors:  Haiying Yu; Eike Luedeling; Jianchu Xu
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-29       Impact factor: 11.205

4.  Increasing contamination might have delayed spring phenology on the Tibetan Plateau.

Authors:  Shuhua Yi; Zhaoye Zhou
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-11       Impact factor: 11.205

5.  Temperature and snowfall trigger alpine vegetation green-up on the world's roof.

Authors:  Xiaoqiu Chen; Shuai An; David W Inouye; Mark D Schwartz
Journal:  Glob Chang Biol       Date:  2015-06-19       Impact factor: 10.863

6.  Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011.

Authors:  Geli Zhang; Yangjian Zhang; Jinwei Dong; Xiangming Xiao
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-25       Impact factor: 11.205

7.  Greater phenological sensitivity to temperature on higher Scottish mountains: new insights from remote sensing.

Authors:  Daniel S Chapman
Journal:  Glob Chang Biol       Date:  2013-07-15       Impact factor: 10.863

8.  Interannual variations and trends in global land surface phenology derived from enhanced vegetation index during 1982-2010.

Authors:  Xiaoyang Zhang; Bin Tan; Yunyue Yu
Journal:  Int J Biometeorol       Date:  2014-03-18       Impact factor: 3.787

9.  Interannual variations in spring phenology and their response to climate change across the Tibetan Plateau from 1982 to 2013.

Authors:  Lingling Liu; Xiaoyang Zhang; Alison Donnelly; Xinjie Liu
Journal:  Int J Biometeorol       Date:  2016-03-02       Impact factor: 3.787

10.  Seasonal response of grasslands to climate change on the Tibetan Plateau.

Authors:  Haiying Yu; Jianchu Xu; Erick Okuto; Eike Luedeling
Journal:  PLoS One       Date:  2012-11-16       Impact factor: 3.240

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