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Vegetation Browning Trends in Spring and Autumn over Xinjiang, China, during the Warming Hiatus
by
Yao, Junqiang
, Li, Moyan
, Zheng, Jianghua
, Guan, Jingyun
in
Air temperature
/ Autumn
/ Browning
/ China
/ Climate
/ Climate change
/ Climatic conditions
/ Correlation
/ Correlation analysis
/ Datasets
/ Global warming
/ Humidity
/ Normalized difference vegetative index
/ Phenology
/ Precipitation
/ Regions
/ Remote sensing
/ satellites
/ Spring
/ Spring (season)
/ Summer
/ Time series
/ Trends
/ Vapor pressure
/ vapor pressure deficit
/ Variables
/ Vegetation
/ vegetation browning
/ Vegetation growth
/ warming hiatus
/ Xinjiang
2022
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Vegetation Browning Trends in Spring and Autumn over Xinjiang, China, during the Warming Hiatus
by
Yao, Junqiang
, Li, Moyan
, Zheng, Jianghua
, Guan, Jingyun
in
Air temperature
/ Autumn
/ Browning
/ China
/ Climate
/ Climate change
/ Climatic conditions
/ Correlation
/ Correlation analysis
/ Datasets
/ Global warming
/ Humidity
/ Normalized difference vegetative index
/ Phenology
/ Precipitation
/ Regions
/ Remote sensing
/ satellites
/ Spring
/ Spring (season)
/ Summer
/ Time series
/ Trends
/ Vapor pressure
/ vapor pressure deficit
/ Variables
/ Vegetation
/ vegetation browning
/ Vegetation growth
/ warming hiatus
/ Xinjiang
2022
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Vegetation Browning Trends in Spring and Autumn over Xinjiang, China, during the Warming Hiatus
by
Yao, Junqiang
, Li, Moyan
, Zheng, Jianghua
, Guan, Jingyun
in
Air temperature
/ Autumn
/ Browning
/ China
/ Climate
/ Climate change
/ Climatic conditions
/ Correlation
/ Correlation analysis
/ Datasets
/ Global warming
/ Humidity
/ Normalized difference vegetative index
/ Phenology
/ Precipitation
/ Regions
/ Remote sensing
/ satellites
/ Spring
/ Spring (season)
/ Summer
/ Time series
/ Trends
/ Vapor pressure
/ vapor pressure deficit
/ Variables
/ Vegetation
/ vegetation browning
/ Vegetation growth
/ warming hiatus
/ Xinjiang
2022
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Vegetation Browning Trends in Spring and Autumn over Xinjiang, China, during the Warming Hiatus
Journal Article
Vegetation Browning Trends in Spring and Autumn over Xinjiang, China, during the Warming Hiatus
2022
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Overview
Satellite-derived vegetation records (GIMMS3g-NDVI) report that climate warming promotes vegetation greening trends; however, the climate impacts on vegetation growth during the global warming hiatus period (1998–2012) remain unclear. In this study, we focused on the vegetation change trend in Xinjiang in spring and autumn before and during the recent warming hiatus period, and their climate-driving mechanisms, which have not been examined in previous studies. Based on satellite records, our results indicated that the summer normalized difference vegetation index (NDVI) in Xinjiang experienced a greening trend, while a browning trend existed in spring and autumn during this period. The autumn NDVI browning trend in Xinjiang was larger than that in spring; however, the spring NDVI displayed a higher correlation with climatic factors than did the autumn NDVI. During the warming hiatus, spring climatic factors were the main controlling factors of spring NDVI, and spring vapor pressure deficit (VPD) had the highest positive correlation with spring NDVI, followed by spring temperature. The larger increase in air temperature in spring than in autumn resulted in increased VPD differences in spring and autumn. In autumn, summer climatic factors (e.g., VPD, WS, RH, and precipitation) were significantly correlated with the autumn NDVI during the warming hiatus. However, the autumn temperature was weakly correlated with the autumn NDVI. Our results have significant implications for understanding the response of vegetation growth to recent and future climatic conditions.
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