Effects of spring and summer extreme climate events on the autumn phenology of different vegetation types of Inner Mongolia, China, from 1982 to 2015

Hong, Ying‐yi; Zhao, Jianjun; Yu, Shen; Zhang, Zhengxiang; Guo, Xiaoyi; Rihan, Wu; Deng, Guiping

doi:10.1016/j.ecolind.2019.105974

Cited by 48 publications

(20 citation statements)

References 45 publications

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“…This study shows that vegetation has experienced a greening trend over the entire Mongolian Plateau, consistent with recent findings [67]. The literature on the Mongolian Plateau has reported on the contributions of climatic drivers to vegetation dynamics [16,18,23,26]. The rate of temperature increase on the Mongolia Plateau was faster than that of global warming, which may enhance vegetation activity and lengthen the growing season.…”

Section: Discussionsupporting

confidence: 90%

“…Due to China's Belt and Road Initiative (also known as One Belt, One Road), an increasing number of studies have been conducted within the Mongolian Plateau. This includes various statistical methods to distinguish vegetation change and responses to climate change or anthropogenic activity [22][23][24][25]. However, the BFAST algorithm was not adopted to analyse vegetation dynamics in the Mongolian Plateau.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

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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“…Piao et al found that vegetation in northern areas was more affected by high temperatures than by precipitation [39]. Through experimentation, Nagy et al found that phenology was affected by extreme climate indices [13], observing that the flowering date of temperate vegetation was nearly one month earlier, and some vegetation species could not complete their flowering cycles, but the phenology of the vegetation studied was not affected by heavy precipitation events.…”

Section: Discussionmentioning

confidence: 99%

“…Some researchers studying the Tibetan Plateau found that the end of the growing season (EOS) of vegetation is more influenced by extreme temperature events than extreme rainfall. An increase in the heat index of extreme temperature events leads to a delay in vegetation EOS, whereas an increased cold index can lead to an early end to vegetation EOS [12], with warmer days and nights similarly causing delayed fall phenology in Inner Mongolia [13]. A study of vegetation phenology in the United States found that an increase in daily maximum temperature had its main influence on an earlier vegetation start of the growing season (SOS) [14].…”

Section: Introductionmentioning

confidence: 99%

The Sensitivity of Vegetation Phenology to Extreme Climate Indices in the Loess Plateau, China

Pei

Chen

et al. 2021

Sustainability

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Climate changes, especially increased temperatures, and precipitation changes, have significant impacts on vegetation phenology. However, the response of vegetation phenology to the extreme climate in the Loess Plateau in Northwest China remains poorly quantified. The research described here analyzed the spatial change in vegetation phenology and the response of vegetation phenology to climate change in the Loess Plateau from 2001 to 2018, using data from seven extreme climate indices based on the ridge regression method. The results showed that extreme climate indexes, TNn (yearly minimum value of the daily minimum temperature), TXx (yearly maximum value of the daily maximum temperature), and RX5day (yearly maximum consecutive five-day precipitation) progressively increased from 2001 to 2018 in the Loess Plateau region, but decrease trend was found in DRT (diurnal temperature range). The start of the growing season (SOS) of vegetation gradually advanced with precipitation from northwest to southeast, and the rate was +0.38 d/a. The overall vegetation end of the growing season (EOS) was delayed, and the trend was −2.83 d/a. The sensitivity of the different vegetation phenology to different extreme weather indices showed obvious spatial differences, the sensitivity coefficient of SOS being mainly positive in the region, whereas the sensitivity coefficient of EOS was negative generally. More sensitivity was found in the EOS to extreme climate indexes than in the SOS. Forest, shrubland and grassland have similar responses to DRT and TNn; namely, both SOS and EOS are advanced with the increase in DRT and delayed with the increase in TNn (the sensitivity coefficient is quite different) but have different responses to RX5day and TXx. These results reveal that extreme climate events have a greater impact on vegetation EOS than on vegetation SOS, with these effects varying with vegetation types. This research can provide a scientific basis for formulating a scientific basis for regional vegetation restoration strategies and disaster prediction on the Loess Plateau.

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“…For example, concurrent drought and heat extremes can cause substantial decreases in barley yields worldwide, while extreme rainfall can cause floods and damage to urban infrastructure [ 7 , 8 , 9 ]. Vegetation sensitive to temperature and precipitation changes can be destroyed by extreme climate events, causing land desertification, soil erosion, and crop reduction [ 10 , 11 , 12 , 13 ]. Hence, it is necessary to study the spatial and temporal distribution characteristics, future development trends, and influencing factors of extreme climate events.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Future Projection of Extreme Climate Events in the Yellow River Basin and Yangtze River Basin in China Using Ensembled CMIP5 Models Data

Niu

Feng

Chen

et al. 2021

IJERPH

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The Yellow River Basin (YLRB) and Yangtze River Basin (YZRB) are heavily populated, important grain-producing areas in China, and they are sensitive to climate change. In order to study the temporal and spatial distribution of extreme climate events in the two river basins, seven extreme temperature indices and seven extreme precipitation indices were projected for the periods of 2010–2039, 2040–2069, and 2070–2099 using data from 16 Coupled Model Intercomparison Project Phase 5 (CMIP5) models, and the delta change and reliability ensemble averaging (REA) methods were applied to obtain more robust ensemble values. First, the present evaluation indicated that the simulations satisfactorily reproduced the spatial distribution of temperature extremes, and the spatial distribution of precipitation extremes was generally suitably captured. Next, the REA values were adopted to conduct projections under different representative concentration pathway (RCP) scenarios (i.e., RCP4.5, and RCP8.5) in the 21st century. Warming extremes were projected to increase while cold events were projected to decrease, particularly on the eastern Tibetan Plateau, the Loess Plateau, and the lower reaches of the YZRB. In addition, the number of wet days (CWD) was projected to decrease in most regions of the two basins, but the highest five-day precipitation (Rx5day) and precipitation intensity (SDII) index values were projected to increase in the YZRB. The number of consecutive dry days (CDD) was projected to decrease in the northern and western regions of the two basins. Specifically, the warming trends in the two basins were correlated with altitude and atmospheric circulation patterns, and the wetting trends were related to the atmospheric water vapor content increases in summer and the strength of external radiative forcing. Notably, the magnitude of the changes in the extreme climate events was projected to increase with increasing warming targets, especially under the RCP8.5 scenario.

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Effects of spring and summer extreme climate events on the autumn phenology of different vegetation types of Inner Mongolia, China, from 1982 to 2015

Cited by 48 publications

References 45 publications

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

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

The Sensitivity of Vegetation Phenology to Extreme Climate Indices in the Loess Plateau, China

Evaluation and Future Projection of Extreme Climate Events in the Yellow River Basin and Yangtze River Basin in China Using Ensembled CMIP5 Models Data

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