An Approach to the Temporal and Spatial Characteristics of Vegetation in the Growing Season in Western China

Yuan, Junfang; Bian, Zhengfu; Yan, Qishe; Gu, Zhi yun; Yu, Hao

doi:10.3390/rs12060945

Cited by 33 publications

(15 citation statements)

References 29 publications

(15 reference statements)

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“…Additionally, vegetation growth has improved significantly in the past 19 years in Xinjiang. The observation of a vegetation increase in recent decades is consistent with the results of the dynamic greening trend for vegetation in Eurasia, Central Asia, and Western China in previous studies [ 27 , 28 , 56 , 57 ]. These variations have led to the optimistic expectation that the fragile eco-environment in arid regions can be improved [ 24 ].…”

Section: Discussionsupporting

confidence: 91%

Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China

Bian

Shen

et al. 2020

IJERPH

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Since the Silk-road Economic belt initiatives were proposed, Xinjiang has provided a vital strategic link between China and Central Asia and even Eurasia. However, owing to the weak and vulnerable ecosystem in this arid region, even a slight climate change would probably disrupt vegetation dynamics and land cover change. Thus, there is an urgent need to determine the Normalized Difference Vegetation Index (NDVI) and Land-use/Land-cover (LULC) responses to climate change. Here, the extreme-point symmetric mode decomposition (ESMD) method and linear regression method (LRM) were applied to recognize the variation trends of the NDVI, temperature, and precipitation between the growing season and other seasons. Combining the transfer matrix of LULC, the Pearson correlation analysis was utilized to reveal the response of NDVI to climate change and climate extremes. The results showed that: (1) Extreme temperature showed greater variation than extreme precipitation. Both the ESMD and the LRM exhibited an increased volatility trend for the NDVI, with the significant improvement regions mainly located in the margin of basins. (2) Since climate change had a warming trend, the permanent snow has been reduced by 20,436 km2. The NDVI has a higher correlation to precipitation than temperature. Furthermore, the humid trend could provide more suitable conditions for vegetation growth, but the warm trend might prevent vegetation growth. Spatially, the response of the NDVI in North Xinjiang (NXC) was more sensitive to precipitation than that in South Xinjiang (SXC). Seasonally, the NDVI has a greater correlation to precipitation in spring and summer, but the opposite occurs in autumn. (3) The response of the NDVI to extreme precipitation was stronger than the response to extreme temperature. The reduction in diurnal temperature variation was beneficial to vegetation growth. Therefore, continuous concentrated precipitation and higher night-time-temperatures could enhance vegetation growth in Xinjiang. This study could enrich the understanding of the response of land cover change and vegetation dynamics to climate extremes and provide scientific support for eco-environment sustainable management in the arid regions.

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Section: Discussionsupporting

confidence: 91%

Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China

Bian

Shen

et al. 2020

IJERPH

Self Cite

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“…The increasing trend of NDVI indicates the improvement of vegetation, especially in summer of Southern Xinjiang. This result is also consistent with other studies which all informed that the vegetation coverage in Xinjiang region had a general increase with fluctuations in recent years (Bao et al, 2017;Yuan et al, 2020;Zhang et al, 2020;Zhou et al, 2021). Therefore this might be another possible reason to explain the change of dust events since 2000.…”

Section: Precipitation and Vegetationsupporting

confidence: 92%

The Temporal-Spatial Variations and Potential Causes of Dust Events in Xinjiang Basin During 1960–2015

Jing

et al. 2021

Front. Environ. Sci.

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Dust events not only cause local ecosystem degradation and desertification, but also have profound impacts on regional and global climate system, as well as air quality and human health. Dust events in Xinjiang Basin, as the important dust source of Eastern Asia, have undergone a significant change under the global warming background and may be in a new active period after 2000, which is worthy of study. This study provides the temporal and spatial variations of dust events in the Xinjiang Basin based on surface meteorological station observation data during 1960–2015. The results show that Southern Xinjiang is the main dust occurrence region where dust events are significantly more than that in the Northern Xinjiang, and each year more than 73% of dust events occurred in spring and summer. The dust index (DI), which is defined to represent the large-scale variation of dust event, shows a significant downward trend during the past 56 years with a linear decreasing rate −8.2 years−1 in Southern Xinjiang. The DI is positively correlated to surface wind speed with a mean correlation coefficient of 0.79. The declining trend of surface wind speed could explain dust events variation during 1960–2000. But in the new active period after 2000, the increase of DI is not consistent with the rising wind speed with the correlation coefficient decreasing to 0.34. It is found that, compared with 1960–1999, the average annual precipitation and frequency increased by 17.4 and 13% during 2000–2015, respectively, and the NDVI also increased at the same time, which indicates that the surface condition changes induced by the increase of precipitation might suppress the occurrence of dust. Moreover, the analysis of high-altitude wind field shows that the variation of the East Asian general circulation’s intensity, dominating the upper-level wind fields in the Xinjiang basin, will change the surface wind speed and precipitation, and further affect the occurrence of dust events.

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“…It has been widely used in sociology, epidemiology, ecology, and other fields [ 35 , 36 , 37 , 38 ]. The SDE method quantitatively describes the centrality, distribution, directionality, and spatial morphology of geographical elements through spatial distribution ellipse, with the center, major axis, minor axis, and azimuth as its basic parameters [ 37 ]. The major half-axis of the ellipse represents the direction of data distribution, and the minor half-axis represents the range of data distribution.…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Patterns and Determinants of Grain Self-Sufficiency in China

Niu

Xie

Xiao

et al. 2021

Foods

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The pattern of grain self-sufficiency plays a fundamental role in maintaining food security. We analyzed the patterns and determinants of grain production and demand, as well as grain self-sufficiency, in China over a 30-year period. The results show that China’s total grain production, with an obvious northeast–southwest direction, increased by 63%, and yields of rice, wheat, corn, tubers, and beans increased by 16, 49, 224, 6, and 103%, respectively. The trends in ration and feed grain consumption changes at the provincial scale were roughly the same as at the national scale, with the ration consumption ratio decreasing and the ratio of feed grain consumption increasing. The ration consumption in Northwest China was relatively high, while the feed grain consumption rates in Shanghai, Guangdong, Beijing, Tianjin, and Chongqing were higher. Compared with ration and feed grain, the proportions of seed grain and grain loss were relatively small. China’s grain consumption mainly concentrated in the central and eastern regions of China. Total grain, rice, corn, wheat, tubers, and beans consumption in feed grain showed a northeast–southwest trend, with consumption centers all shifting southward in the 30-year period. Corn accounted for the largest proportion in feed grain, followed by beans. Urban feed grain and urban ration hot spot areas have gradually transferred from the northwest to southeast coastal areas. The hot spots of rural feed grain consumption and rural ration consumption remained almost unchanged, located in the south of the Yangtze River and Central and Southern China, respectively. The grain self-sufficiency level developed well in the study period, while the areas with grain deficit were Beijing, Tianjin, Shanghai, Zhejiang, Fujian, Guangdong, and Hainan. The areas with high supply and high demand were mainly located in Central and East China, the areas with high supply and low demand were mainly distributed in Northeast China, and the areas with low supply and low demand were mainly located in Western China. The pattern of self-sufficiency of corn in feed grain has remained basically unchanged; the areas with corn feed grain deficit were Central and Southeast China, while North China had corn feed grain surplus. Compared with corn feed, the surplus of soybean feed was relatively poor. Factor detector analysis revealed that in different periods, the same impact factor had different explanatory power in the supply and demand pattern, and the comprehensive consideration of any two factors will enhance the explanatory power of grain supply and demand pattern.

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An Approach to the Temporal and Spatial Characteristics of Vegetation in the Growing Season in Western China

Cited by 33 publications

References 29 publications

Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China

Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China

The Temporal-Spatial Variations and Potential Causes of Dust Events in Xinjiang Basin During 1960–2015

Spatiotemporal Patterns and Determinants of Grain Self-Sufficiency in China

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