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Response of vegetation to climate change in Central Asia with remote sensing and meteorological data

  • role： First author第一作者
  • Affiliation：

    Faculty of Geomatics, East China University of Technology, Nanchang 330013, China

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing 100094, China

  • Email：wull_500@126.com
  • Introduction：吴林霖，研究方向为资源环境遥感、气候变化及其区域响应。E-mail： wull_500@126.com
WU Linlin12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing 100094, China

  • Email：w_siyuan@126.com
  • Introduction：王思远，研究方向为地表过程与全球变化遥感。E-mail： w_siyuan@126.com
WANG Siyuan2*,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing 100094, China

MA Yuanxu2,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing 100094, China

YANG Ruixia2,  
  • Affiliation：

    Faculty of Geomatics, East China University of Technology, Nanchang 330013, China

GUAN Yunlan1,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing 100094, China

HAI Kai2,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing 100094, China

LIU Weihua2

Resümee

This study aims to understand the potential effects of climate change on vegetation in arid and semi-arid areas of Central Asia and analyze the temporal responses of different typical vegetation to climate factors. The MODIS-NDVI dataset and CHELSA climate data were used for regression analysis and time-series correlation analysis, which extracted the spatial pattern and variation trend of NDVI, precipitation and temperature in the period of 2000 to 2013. Meanwhile, joint land use/cover type and terrestrial ecoregion to analyze the correlations of NDVI to climate factors for different vegetation types and different ecoregions could help explore the mechanism of vegetation response to climate change in Central Asia. The results showed that: (1) The NDVI values of Central Asia were generally low and exhibited a decreasing trend from high altitude to low altitude. The spatial distribution of precipitation decreased from the east to the west. The spatial distribution of temperature decreased from the west to the east in Central Asia. From 2000 to 2013, the spatial variation trend of NDVI, precipitation and temperature were the significant spatial differences in Central Asia. (2) There was a significant positive correlation between NDVI and precipitation in most areas. The negative correlation pixels between NDVI and precipitation were mainly distributed in the relatively humid areas in central and southern Central Asia and along the rivers and lakes. Meanwhile, a positive correlation between NDVI and temperature was found in eastern and northern Central Asia. The low correlation between NDVI and temperature mainly distributed in the arid and semi-arid regions, only a few areas were showed negative correlations. In addition, the correlation of NDVI between precipitation and temperature was significant in different vegetation types. (3) There was a lag time of 32 days and a cumulative time of 16-96 days between NDVI and precipitation in most parts of Central Asia. The correlation coefficient between NDVI and temperature of the current period was relatively high and the high correlation coefficients of the cumulative time were 16-48 days. The response of NDVI of different typical vegetation to precipitation is different, and the response of NDVI to temperature is generally similar with other vegetation types except for bare land. (4) The responses of NDVI to precipitation/temperature were different in different ecoregions. Among them, the longest lag time and cumulation time of precipitation in the forest were 96d. There were 34.16% pixels of alpine meadow showed the 96d lag times for the correlation of NDVI response to precipitation, the lag time and cumulation time of NDVI response to temperature were 16 d and 32 d.

Schlüsselwort

NDVI;climate response;Central Asia;time-series correlation analysis;temporal response mechanism;Arid and semi-arid areas

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