Coupling analysis of social-economic water consumption and its effects on the arid environments in Xinjiang of China based on the water and ecological footprints

Zhang, Pei; Deng, Mingjiang; Long, Aihua; Deng, Xiaoya; Wang, Hao; Yang, Haijun; Wang, Jie; Liu, Yundong

doi:10.1007/s40333-020-0050-5

Cited by 32 publications

(11 citation statements)

References 38 publications

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“…Similar water scarcity issues also exist in both study areas, in which plant growth over drylands can be largely constrained when precipitation is limited. Continuous socioeconomic developments with population growth and urban expansion in these two regions during recent decades have further increased the demand for domestic and (irrigation-fed) agricultural water (usually withdrawn from rivers, lakes, and aquifers), worsening the water scarcity issue [36,37]. On the other hand, locally and regionally varied climate changes and variability further complicate dryland management (e.g., land use and restoration), calling for a better understanding of how natural plants respond to these natural and anthropogenic impacts.…”

Section: Study Areasmentioning

confidence: 99%

Response of Natural Vegetation to Climate in Dryland Ecosystems: A Comparative Study between Xinjiang and Arizona

Fang

Wang

2020

Remote Sensing

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As one of the most sensitive areas to climate change, drylands cover ~40% of the Earth’s terrestrial land surface and host more than 38% of the global population. Meanwhile, their response to climate change and variability carries large uncertainties as induced by background climate, topography, and land cover composition; but there is a lack of intercomparison of different dryland ecosystems. In this study, we compare the changing climate and corresponding responses of major natural vegetation cover types in Xinjiang and Arizona, two typical drylands with similar landscapes in Asia and North America. Long-term (2002–2019) quasi-8-day datasets of daily precipitation, daily mean temperature, and Normalized Difference Vegetation Index (NDVI) were constructed based on station observations and remote sensing products. We found that much of Xinjiang experienced warming and wetting trends (although not co-located) over the past 18 years. In contrast, Arizona was dominated by warming with insignificant wetting or drying trends. Significant greening trends were observed in most parts of both study areas, while the increasing rate of NDVI anomalies was relatively higher in Xinjiang, jointly contributed by its colder and drier conditions. Significant degradation of vegetation growth (especially for shrubland) was observed over 18.8% of Arizona due to warming. Our results suggest that responses of similar natural vegetation types under changing climate can be diversified, as controlled by temperature and moisture in areas with different aridity.

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Section: Study Areasmentioning

confidence: 99%

Response of Natural Vegetation to Climate in Dryland Ecosystems: A Comparative Study between Xinjiang and Arizona

Fang

Wang

2020

Remote Sensing

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“…These studies explored that human activities may have led to the reduction in water yield. As for water utilization, it was considered in some studies that water utilization had an increasing trend in Xinjiang due to urbanization and industrialization (Lei et al, 2012;Zhang et al, 2020), but there are still some other studies that revealed that water-saving agricultural and industrial water recycling may led to the decrease in water utilization (Chen and Shi, 2016;. In the context of climate change and human activities, how do the changes of the supply-demand relationships of water resources in Xinjiang?…”

Section: Introductionmentioning

confidence: 99%

Modeling and analyzing supply-demand relationships of water resources in Xinjiang from a perspective of ecosystem services

et al. 2022

J. Arid Land

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Water shortage is one bottleneck that limits economic and social developments in arid and semi-arid areas. As the impacts of climate change and human disturbance intensify across time, uncertainties in both water resource supplies and demands increase in arid and semi-arid areas. Taking a typical arid region in China, Xinjiang Uygur Autonomous Region, as an example, water yield depth (WYD) and water utilization depth (WUD) from 2002 to 2018 were simulated using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and socioeconomic data. The supply-demand relationships of water resources were analyzed using the ecosystem service indices including water supply-demand difference (WSDD) and water supply rate (WSR). The internal factors in changes of WYD and WUD were explored using the controlled variable method. The results show that the supplydemand relationships of water resources in Xinjiang were in a slight deficit, but the deficit was alleviated due to increased precipitation and decreased WUD of irrigation. WYD generally experienced an increasing trend, and significant increase mainly occurred in the oasis areas surrounding both the Junggar Basin and Tarim Basin. WUD had a downward trend with a decline of 20.70%, especially in oasis areas. Water resources in most areas of Xinjiang were fully utilized and the utilization efficiency of water resources increased. The water yield module in the InVEST model was calibrated and validated using gauging station data in Xinjiang, and the result shows that the use of satellite-based water storage data helped to decrease the bias error of the InVEST model by 0.69×10 8 m 3 . This study analyzed water resource supplies and demands from a perspective of ecosystem services, which expanded the scope of the application of ecosystem services and increased the research perspective of water resource evaluation. The results could provide guidance for water resource management such as spatial allocation and structural optimization of water resources in arid and semi-arid areas.

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“…This article constructs a digital economy evaluation index system from six aspects based on previous studies on digital economy measurement, [39][40][41][42] which includes infrastructure, digital application, internet development, communication technology and capability, technology and talent cultivation, innovation (Table 1). In addition, this article also constructs a new-type urbanization evaluation index system from five aspects based on previous studies on new-type urbanization measurement, [43][44][45] which includes population development, economic development, infrastructure, ecological environment health and social services (Table 2). This article uses the entropy weight method [46][47][48] to determine the weight of indicators.…”

Section: Measurement Of Digital Economy Level and New-type Urbanizati...mentioning

confidence: 99%

Digital economy, new‐type urbanization, and carbon emissions: Evidence from China

Chen

2022

Env Prog and Sustain Energy

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China has been a major carbon dioxide emitter. According to the World Energy Statistics Yearbook 2021 published by British Petroleum (BP), China's total carbon emissions in 2020 were 9.899 billion tons, accounting for 30.7% of the world's total emissions and ranking first in the world. Promoting digital economy construction, new‐type urbanization construction and carbon emissions reduction is the focus of the Chinese government. Based on the decoupling model and threshold regression model, this article empirically tests the impact of digital economy and new‐type urbanization on carbon emissions by panel data from 2013–2019 in 30 provinces of China. The results show that there are 23 provinces of China having a better decoupling relationship between digital economy and carbon emissions reduction, and 20 provinces of China having a better decoupling relationship between new‐type urbanization and carbon emissions reduction. In the threshold regression models with energy intensity as the threshold variable, the digital economy has a significant threshold characteristic with a negative non‐linear effect on per capita carbon emissions. The new‐type urbanization also had a significant threshold characteristic with a two‐way non‐linear effect on per capita carbon emissions, but the negative effect is not significant. This means that, during the sample period, the improvement of China's digital economy level can effectively promote carbon emissions reduction. However, the improvement of the new‐type urbanization level curbs carbon emissions reduction.

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Coupling analysis of social-economic water consumption and its effects on the arid environments in Xinjiang of China based on the water and ecological footprints

Cited by 32 publications

References 38 publications

Response of Natural Vegetation to Climate in Dryland Ecosystems: A Comparative Study between Xinjiang and Arizona

Response of Natural Vegetation to Climate in Dryland Ecosystems: A Comparative Study between Xinjiang and Arizona

Modeling and analyzing supply-demand relationships of water resources in Xinjiang from a perspective of ecosystem services

Digital economy, new‐type urbanization, and carbon emissions: Evidence from China

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