Abrupt shift to hotter and drier climate over inner East Asia beyond the tipping point

Zhang, Peng; Jeong, Jee‐Hoon; Yoon, Jin‐Ho; Kim, Hyungjun; Wang, Shih-Yu; Linderholm, Hans W.; Fang, Keyan; Wu, Xiuchen; Chen, Deliang

doi:10.1126/science.abb3368

Cited by 155 publications

(93 citation statements)

References 72 publications

(34 reference statements)

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“…In the past three decades, Mongolia has experienced substantial impact from global warming, with average temperature in summer increasing by 2•5°C between 1981 and 2014, and a noteworthy downward trend in vegetation coverage. 2,3 On the other hand, decreased frequency and duration of stratiform rain events caused by the movement of cyclones and the change in El Niño were observed during the same time period. 4 The combined effect of rising temperature and reduction in stratiform rain quickened the loss of soil moisture and led to severe desertification.…”

Section: Sand and Dust Storms In Asia: A Call For Global Cooperation On Climate Changementioning

confidence: 85%

“…3 The hot weather and anomalous cyclonic circulation could also be intensified by persistent water loss and soil erosion, leading to widespread drought and land degradation. 2 Exposure to dust particles is linked to a wide range of health problems. The main component of sand and dust storms posing a threat to human health is PM 10 .…”

Section: Sand and Dust Storms In Asia: A Call For Global Cooperation On Climate Changementioning

confidence: 99%

See 1 more Smart Citation

Sand and dust storms in Asia: a call for global cooperation on climate change

Wu¹,

Wen²,

Li³

et al. 2021

The Lancet Planetary Health

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Section: Sand and Dust Storms In Asia: A Call For Global Cooperation On Climate Changementioning

confidence: 85%

Section: Sand and Dust Storms In Asia: A Call For Global Cooperation On Climate Changementioning

confidence: 99%

Sand and dust storms in Asia: a call for global cooperation on climate change

Wu¹,

Wen²,

Li³

et al. 2021

The Lancet Planetary Health

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“…As such, the soil water content is related to climatic variations throughout the month, and the degree of influence from early climatic changes on SM, such as high PRE and low PET conditions. This may cause the soil to remain wet over a long period of time, which may ultimately be beneficial to vegetation growth [54]. This indicates that the NDVI usually experiences stronger cumulative effects from climate change.…”

Section: Spatial Patterns Of the Cumulative Effects Of Climate Changementioning

confidence: 99%

NDVI Indicates Long-Term Dynamics of Vegetation and Its Driving Forces from Climatic and Anthropogenic Factors in Mongolian Plateau

Guo

Wang

et al. 2021

Remote Sensing

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In recent years, global warming and intense human activity have been responsible for significantly altering vegetation dynamics on the Mongolian Plateau. Understanding the long-term vegetation dynamics in this region is important to assess the impact of these changes on the local ecosystem. Long-term (1982–2015), satellite-derived normalized difference vegetation index (NDVI) datasets were used to analyse the spatio-temporal patterns of vegetation activities using linear regression and the breaks for additive season and trend methods. The links between these patterns and changes in temperature, precipitation (PRE), soil moisture (SM), and anthropogenic activity were determined using partial correlation analysis, the residual trends method, and a stepwise multiple regression model. The most significant results indicated that air temperature and potential evapotranspiration increased significantly, while the SM and PRE had markedly decreased over the past 34 years. The NDVI dataset included 71.16% of pixels showing an increase in temperature and evaporation during the growing season, particularly in eastern Mongolia and the southern border of the Inner Mongolia Autonomous region, China. The proportion indicating the breakpoint of vegetation dynamics was 71.34% of pixels, and the trend breakpoints mainly occurred in 1993, 2003, and 2010. The cumulative effects of PRE and SM in the middle period, coupled with the short-term effects of temperature and potential evapotranspiration, have had positive effects on vegetation greening. Anthropogenic factors appear to have positively impacted vegetation dynamics, as shown in 81.21% of pixels. We consider rapid economic growth, PRE, and SM to be the main driving factors in Inner Mongolia. PRE was the main climatic factor, and combined human and livestock populations were the primary anthropogenic factors influencing vegetation dynamics in Mongolia. This study is important in promoting the continued use of green projects to address environmental change in the Mongolian Plateau.

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“…Global warming has led to large changes of local temperatures, causing more frequent heat events in the Northern Hemisphere [50]. There is an ongoing interest in exploring the possible changes in climate extremes since they can cause significant damage to both the natural environment and human society [51].…”

Section: Discussionmentioning

confidence: 99%

A Comprehensive Study of Spatiotemporal Variations in Temperature Extremes across China during 1960–2018

Zhao

Chen

2021

Sustainability

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Understanding the changing patterns of extreme temperatures is important for taking measures to reduce their associated negative impacts. Based on daily temperature data derived from 2272 meteorological stations in China, the spatiotemporal variations in temperature extremes were examined with respect to covariates by means of the Mann–Kendall test and a spatiotemporal model during 1960–2018. The results indicated that the temporal changes in cold extremes showed decreasing trends and warm extremes experienced increasing trends across almost all of China, with mean change rates of −3.9 days, −1.8 days, 3.7 days and 2.3 days per decade for TN10p, TX10p, TN90p and TX90p, respectively. Nighttime warming/cooling was higher than daytime warming/cooling, which indicated that trends in minimum temperature extremes are more rapid than trends in maximum temperature extremes. In addition, the temporal effect on the temperature extremes varied throughout the year, with significant increasing trends in the temporal heterogeneity of warm extremes occurring during 1992–2018. The areas with strong spatial heterogeneity of cool nights mainly included northeastern and central China, and the spatial variation on cool days was more prominent in northern China. For warm nights, the areas showing high spatial heterogeneity were mainly located in the northwestern part of China, while areas for warm days were distributed in northern China. Our results provide meaningful information for a deeper understanding of the spatiotemporal variations in temperature extremes across mainland China.

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Abrupt shift to hotter and drier climate over inner East Asia beyond the tipping point

Cited by 155 publications

References 72 publications

Sand and dust storms in Asia: a call for global cooperation on climate change

Sand and dust storms in Asia: a call for global cooperation on climate change

NDVI Indicates Long-Term Dynamics of Vegetation and Its Driving Forces from Climatic and Anthropogenic Factors in Mongolian Plateau

A Comprehensive Study of Spatiotemporal Variations in Temperature Extremes across China during 1960–2018

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