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Theoretical and Applied Climatology

, Volume 131, Issue 3–4, pp 1503–1515 | Cite as

Response of vegetation NDVI to climatic extremes in the arid region of Central Asia: a case study in Xinjiang, China

  • Junqiang Yao
  • Yaning Chen
  • Yong Zhao
  • Weiyi Mao
  • Xinbing Xu
  • Yang Liu
  • Qing Yang
Original Paper

Abstract

Observed data showed the climatic transition from warm-dry to warm-wet in Xinjiang during the past 30 years and will probably affect vegetation dynamics. Here, we analyze the interannual change of vegetation index based on the satellite-derived normalized difference vegetation index (NDVI) with temperature and precipitation extreme over the Xinjiang, using the 8-km NDVI third-generation (NDVI3g) from the Global Inventory Modelling and Mapping Studies (GIMMS) from 1982 to 2010. Few previous studies analyzed the link between climate extremes and vegetation response. From the satellite-based results, annual NDVI significantly increased in the first two decades (1981–1998) and then decreased after 1998. We show that the NDVI decrease over the past decade may conjointly be triggered by the increases of temperature and precipitation extremes. The correlation analyses demonstrated that the trends of NDVI was close to the trend of extreme precipitation; that is, consecutive dry days (CDD) and torrential rainfall days (R24) positively correlated with NDVI during 1998–2010. For the temperature extreme, while the decreases of NDVI correlate positively with warmer mean minimum temperature (Tnav), it correlates negatively with the number of warmest night days (Rwn). The results suggest that the climatic extremes have possible negative effects on the ecosystem.

Notes

Acknowledgements

The authors wish to thank the NASA Global Inventory Modeling and Mapping Studies (GIMMS) group for producing and sharing the AVHRR GIMMS NDVI3g dataset. We also are grateful to the National Climate Central, China Meteorological Administration, for providing the meteorological data for this study. This work was supported in part by the Basic Research Operating Expenses of the Central level Non-profit Research Institutes (IDM201506), China Postdoctoral Science Foundation (2016M592915XB), and the National Natural Science Foundation of China (41605067, 41375101, and U1503181).

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Copyright information

© Springer-Verlag Wien 2017

Authors and Affiliations

  • Junqiang Yao
    • 1
  • Yaning Chen
    • 2
  • Yong Zhao
    • 3
  • Weiyi Mao
    • 1
  • Xinbing Xu
    • 4
    • 5
  • Yang Liu
    • 6
  • Qing Yang
    • 1
  1. 1.Institute of Desert MeteorologyChina Meteorological AdministrationUrumqiChina
  2. 2.State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqiChina
  3. 3.School of Atmospheric ScienceChengdu University of Information TechnologyChengduChina
  4. 4.Xinjiang Normal UniversityUrumqiChina
  5. 5.College of Earth and Environmental SciencesLanzhou UniversityLanzhouChina
  6. 6.College of Resources and Environment Sciences, Key Laboratory of Oasis Ecology of Ministry of EducationXinjiang UniversityUrumqiChina

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