Sustainable development in the Yellow River Basin: Issues and strategies

Chen, Yiping; Fu, Bojie; Zhao, Yan; Wang, Kaibo; Zhao, Meng; Wu, Junhua; Chen, Xu; Liu, Wangang; Wang, Hong

doi:10.1016/j.jclepro.2020.121223

Cited by 133 publications

(41 citation statements)

References 23 publications

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“…The per-capita water resources in the YRB is only 27% of China's national average. In contrast, the rate of water resources utilization is as much as 80%, far exceeding the global guideline of 40% for preventing ecological damage [58]. The Yellow River is also known as the most sediment-laden river in the world.…”

Section: Study Areamentioning

confidence: 97%

Assessment of the Happy River Index as an Integrated Index of River Health and Human Well-Being: A Case Study of the Yellow River, China

Zuo

Hao

Zhang

et al. 2020

Water

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Acceleration urbanization and industrialization has resulted in challenges such as river ecosystem degradation and water scarcity that have hindered sustainable development in China. Healthy rivers provide ecosystem services that improve human well-being. The Happy River Index (HRI) integrates trends in river health and human well-being. This study aimed to establish an HRI assessment framework. The assessment framework was applied to the Yellow River, China at three spatial scales in which the analytic hierarchy process (AHP)-entropy weight and single index quantification-multiple indices syntheses-poly-criteria integration (SMI-P) methods were utilized. Limiting factors were diagnosed by the obstacle degree model and approaches to improve the HRI in regions along the Yellow River are suggested. The results showed that: (1) the overall HRI of the Yellow River was relatively low, with some differences among different regions; (2) the HRI for the upper, middle, and lower reaches of the Yellow River showed a decreasing trend from 0.77 to 0.65; (3) Sichuan had the highest HRI at the regional scale, followed by Gansu and Qinghai, whereas Inner Mongolia had the lowest; (4) scarcity of water resources and the fragility of the ecological environment were the two dominant factors restricting the improvement of the HRI in regions along the Yellow River. The results of this study can provide a valuable reference for protection of river health and improvement of human well-being in China.

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Section: Study Areamentioning

confidence: 97%

Assessment of the Happy River Index as an Integrated Index of River Health and Human Well-Being: A Case Study of the Yellow River, China

Zuo

Hao

Zhang

et al. 2020

Water

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“…The yield of agricultural products depends on the availability of sufficient irrigation water, and the quality of agricultural products depends on the quality of agricultural irrigation water. One study shows that, the agriculture, industry and urban residential areas accounted for influence of 40%, 26%, and 16% on water amount reduce, respectively [56]. In fact, it is short of water resources in the Yellow River Basin.…”

Section: External Factorsmentioning

confidence: 99%

Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation

Sun

et al. 2020

Land

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Exploring the green transition of cultivated land use from the perspective of green utilization efficiency evaluation has become an important content of deepening the study of cultivated land use transition, which is of great significance to promote food security and ecological civilization construction. At present, there are few studies on the green utilization efficiency of cultivated land (GUECL), which covers the comprehensive benefits of economy, ecology and society, combined with the requirements of ecological civilization and green development. Taking 65 cities (regions and autonomous prefectures) of the Yellow River Basin as the basic evaluation unit, the GUECL of the Yellow River Basin is evaluated with a Super-SBM model. In general, the GUECL of the Yellow River Basin was not high at four time points of 2000, 2006, 2012 and 2018, which presents a trend of “rising first and then falling”. Analyzing its temporal and spatial evolution pattern, the GUECL in the upper, middle and lower reaches presented an order of the upper reaches area > the lower reaches area > the middle reaches area; and the spatial variation trend showed a decrease from west to east, and a U-shaped change in the south-north direction. Using spatial correlation analysis, except for the year 2000, the GUECL in the Yellow River Basin presents a general distribution characteristic of spatial agglomeration, which is positively correlated in 2006, 2012 and 2018. The change of spatio-temporal pattern is the result of internal and external factors. The former mainly displays in the main characteristics of farmers, family characteristics and farmers’ cognition, while the latter is reflected in natural, social and policy factors.

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“…The Yellow River Basin, located in the central region of China, is currently facing many ecological problems such as vegetation degradation, land desertification, and biodiversity reduction [25]. These ecological problems not only damage the human living environment, but also affect the growth of vegetation.…”

Section: Introductionmentioning

confidence: 99%

Study on the Relationship between Topological Characteristics of Vegetation Ecospatial Network and Carbon Sequestration Capacity in the Yellow River Basin, China

Fang

et al. 2021

Remote Sensing

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Achieving carbon neutrality is a necessary effort to rid humanity of a catastrophic climate and is a goal for China in the future. Ecological space plays an important role in the realization of carbon neutrality, but the relationship between the structure of vegetation ecological space and vegetation carbon sequestration capacity has been the focus of research. In this study, we extracted the base data from MODIS products and other remote sensing products, and then combined them with the MCR model to construct a vegetation ecospatial network in the Yellow River Basin in 2018. Afterward, we calculated the topological indicators of ecological nodes in the network and analyzed the relationship between the carbon sequestration capacity (net biome productivity) of ecological nodes and these topological indicators in combination with the Biome-BGC model. The results showed that there was a negative linear correlation between the betweenness centrality of forest nodes and their carbon sequestration capacity in the Yellow River Basin (p < 0.05, R2 = 0.59). On the other hand, there was a positive linear correlation between the clustering coefficient of grassland nodes and their carbon sequestration capacity (p < 0.01, R2 = 0.49). In addition, we briefly evaluated the vegetation ecospatial network in the Yellow River BASIN and suggested its optimization direction under the background of carbon neutrality in the future. Increasing the carbon sequestration capacity of vegetation through the construction of national ecological projects is one of the ways to achieve carbon neutrality, and this study provides a reference for the planning of future national ecological projects in the Yellow River Basin. Furthermore, this is also a case study of the application of remote sensing in vegetation carbon budgeting.

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Sustainable development in the Yellow River Basin: Issues and strategies

Cited by 133 publications

References 23 publications

Assessment of the Happy River Index as an Integrated Index of River Health and Human Well-Being: A Case Study of the Yellow River, China

Assessment of the Happy River Index as an Integrated Index of River Health and Human Well-Being: A Case Study of the Yellow River, China

Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation

Study on the Relationship between Topological Characteristics of Vegetation Ecospatial Network and Carbon Sequestration Capacity in the Yellow River Basin, China

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