The county(city)located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region,China in poverty alleviation.Its Sustainable Development...The county(city)located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region,China in poverty alleviation.Its Sustainable Development Goals(SDGs)are intertwined with the concerted economic and social development of Xinjiang and the objective of achieving shared prosperity within the region.This study established a sustainable development evaluation framework by selecting 15 SDGs and 20 secondary indicators from the United Nations’SDGs.The aim of this study is to quantitatively assess the progress of SDGs at the county(city)level on the northern slope of the Kunlun Mountains.The results indicate that there are substantial variations in the scores of SDGs among the nine counties and one city located on the northern slope of the Kunlun Mountains.Notable high scores of SDGs are observed in the central and eastern regions,whereas lower scores are prevalent in the western areas.The scores of SDGs,in descending order,are as follows:62.22 for Minfeng County,54.22 for Hotan City,50.21 for Qiemo County,42.54 for Moyu County,41.56 for Ruoqiang County,41.39 for Qira County,39.86 for Lop County,38.25 for Yutian County,38.10 for Pishan County,and 36.87 for Hotan County.The performances of SDGs reveal that Hotan City,Lop County,Minfeng County,and Ruoqiang County have significant sustainable development capacity because they have three or more SDGs ranked as green color.However,Hotan County,Moyu County,Qira County,and Yutian County show the poorest performance,as they lack SDGs with green color.It is important to establish and enhance mechanisms that can ensure sustained income growth among poverty alleviation beneficiaries,sustained improvement in the capacity of rural governance,and the gradual improvement of social security system.These measures will facilitate the effective implementation of SDGs.Finally,this study offers a valuable support for governmental authorities and relevant departments in their decision-making processes.In addition,these results hold significant reference value for assessing SDGs at the county(city)level,particularly in areas characterized by low levels of economic development.展开更多
The drylands of China are extensive,and they are home to more than one-third of the country’s population.However,the watershed territories of the drylands,where the majority of human activities are concentrated have ...The drylands of China are extensive,and they are home to more than one-third of the country’s population.However,the watershed territories of the drylands,where the majority of human activities are concentrated have long experienced strained human-land relationships,culminating in ecological security concerns.Correspondingly,it is essential to carry out a comprehensive assessment of the ecological security of dryland watersheds and to identify the key factors influencing ecological security in order to formulate strategies that ensure the sustainability of drylands.Premised on the Driving-Pressure-State-Impact-Response(DPSIR)model,this study developed an ecological security index and applied it to the Irtysh River Basin of Xinjiang,China,from 2000 to 2020.The obstacle degree model was applied to reveal the obstacles in two dimensions:criterion level and indicator level.The findings suggested that the ecological security comprehensive index in the Irtysh River Basin has increased significantly from 2000 to 2020,irrespective of the fact that it decreased during the study period and then increased.The ecological security level changed from‘critically safe’in 2000 to‘general safety’in 2020,with the state subsystem and pressure subsystem becoming ecological security weaknesses.The primary factors influencing the ecological security of the study area were water consumption,the area of high-efficiency water-saving irrigation,the proportion of wetland area,vegetation coverage,and livestock population.The ecological security of different counties in the basin varies greatly,whereas the factors that influence ecological security showed both similarities and differences among the counties.In light of on the findings,we proposed that future strategies for ecological security enhancement should concentrate on enacting the policy of localizing spatial differentiation,optimizing industrial structure,strengthening scientific and technological support in the field of water conservation,bolstering the treatment capacity of environmental facilities,and implementing the Mountains-Rivers-Forests-Farmlands-LakesGrasslands System to support the sustainable development of dryland watersheds.展开更多
Urban spatial carrying capacity is the comprehensive support capacity of natural resources for urban development,which is of great significance in guaranteeing the sustainable urbanization.The middle-east section of N...Urban spatial carrying capacity is the comprehensive support capacity of natural resources for urban development,which is of great significance in guaranteeing the sustainable urbanization.The middle-east section of North Slope of Kunlun Mountains in Xinjiang,China,is characterized by harsh climate and sparse population,whereas it is important for the initiative of the new Silk Road Belt because of its important location.Cities in this area have begun to take shape,and the implementation of the Silk Road Belt Initiative will inevitably stimulate the urbanization in this area.The extent to which the cities in this area will be supported by natural resources and how to fulfill the requirements of sustainable socioeconomic development needs to be investigated.In view of this,the present study evaluated the urban spatial carrying capacity and discussed feasible approaches that could support the sustainable urbanization in this area.The results show that 97.59%of the study area belongs to the low and relatively low levels of spatial carrying capacity for urban construction,and the area of medium,relatively high and high levels is 1.12×104 km2,accounting for 2.41%of the total study area,mainly distributed in small clusters in the central alluvial fan oasis plains.Resource and environmental factors highly constrain urban construction,and low spatial matching of land and water resources,harsh climatic conditions and high risk of geological disasters are three major shortcomings.In addition,lagging transportation infrastructure construction and the resulting weak internal and external spatial connections also affect urban development.On this basis,the scientific arrangement of urban distribution,steady promotion of regional economic development based on local characteristics,further improvement of transportation infrastructure construction and strengthening the cooperation between the Xinjiang Production and Construction Corps and local governments are suitable approaches for sustainable urbanization in the study area.展开更多
Regional CO_(2) emissions are closely related to their territorial function, which is the major role a region plays in sustainable processes on the earth's surface. Given that China is implementing a top-down emis...Regional CO_(2) emissions are closely related to their territorial function, which is the major role a region plays in sustainable processes on the earth's surface. Given that China is implementing a top-down emission allocation quota strategy, studying the impact of a territorial function on emissions addresses the research gap from a spatial integration dimension.By investigating the effects of three basic functional territories(urbanization zones(UZ), food security zones(FSZ), and ecological security zones(ESZ)), horizontal spatial structure and vertical combinations of functional territories on CO_(2) emission patterns in China, we found that functional territory patterns were highly coupled with the spatial distribution of CO_(2) emissions, with a ratio of CO_(2) emissions from UZ–FSZ–ESZ was stable at around 5:2:1 from 2000 to 2017. Spatially, CO_(2) emissions in FSZ and ESZ were 1.06–2.12 times higher than the average value within 200 km from the UZ. As territorial function combination increased with spatial upscaling, the emission characteristics attributable to functional territories became indistinct. The findings above can provide a basis for the long-term prediction of CO_(2) emissions from spatial dimension, support scientific guidance for inter-zone cooperation and classified management of carbon emissions with the major function oriented zones as impetus.展开更多
基金financially supported by the Natural Science Foundation of Xinjiang Uygur Autonomous Region,China(2022D01B234).
文摘The county(city)located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region,China in poverty alleviation.Its Sustainable Development Goals(SDGs)are intertwined with the concerted economic and social development of Xinjiang and the objective of achieving shared prosperity within the region.This study established a sustainable development evaluation framework by selecting 15 SDGs and 20 secondary indicators from the United Nations’SDGs.The aim of this study is to quantitatively assess the progress of SDGs at the county(city)level on the northern slope of the Kunlun Mountains.The results indicate that there are substantial variations in the scores of SDGs among the nine counties and one city located on the northern slope of the Kunlun Mountains.Notable high scores of SDGs are observed in the central and eastern regions,whereas lower scores are prevalent in the western areas.The scores of SDGs,in descending order,are as follows:62.22 for Minfeng County,54.22 for Hotan City,50.21 for Qiemo County,42.54 for Moyu County,41.56 for Ruoqiang County,41.39 for Qira County,39.86 for Lop County,38.25 for Yutian County,38.10 for Pishan County,and 36.87 for Hotan County.The performances of SDGs reveal that Hotan City,Lop County,Minfeng County,and Ruoqiang County have significant sustainable development capacity because they have three or more SDGs ranked as green color.However,Hotan County,Moyu County,Qira County,and Yutian County show the poorest performance,as they lack SDGs with green color.It is important to establish and enhance mechanisms that can ensure sustained income growth among poverty alleviation beneficiaries,sustained improvement in the capacity of rural governance,and the gradual improvement of social security system.These measures will facilitate the effective implementation of SDGs.Finally,this study offers a valuable support for governmental authorities and relevant departments in their decision-making processes.In addition,these results hold significant reference value for assessing SDGs at the county(city)level,particularly in areas characterized by low levels of economic development.
基金Under the auspices of National Natural Science Foundation of China(No.42230510)the Major Science and Technology Projects in Altay Region(No.E0035219)。
文摘The drylands of China are extensive,and they are home to more than one-third of the country’s population.However,the watershed territories of the drylands,where the majority of human activities are concentrated have long experienced strained human-land relationships,culminating in ecological security concerns.Correspondingly,it is essential to carry out a comprehensive assessment of the ecological security of dryland watersheds and to identify the key factors influencing ecological security in order to formulate strategies that ensure the sustainability of drylands.Premised on the Driving-Pressure-State-Impact-Response(DPSIR)model,this study developed an ecological security index and applied it to the Irtysh River Basin of Xinjiang,China,from 2000 to 2020.The obstacle degree model was applied to reveal the obstacles in two dimensions:criterion level and indicator level.The findings suggested that the ecological security comprehensive index in the Irtysh River Basin has increased significantly from 2000 to 2020,irrespective of the fact that it decreased during the study period and then increased.The ecological security level changed from‘critically safe’in 2000 to‘general safety’in 2020,with the state subsystem and pressure subsystem becoming ecological security weaknesses.The primary factors influencing the ecological security of the study area were water consumption,the area of high-efficiency water-saving irrigation,the proportion of wetland area,vegetation coverage,and livestock population.The ecological security of different counties in the basin varies greatly,whereas the factors that influence ecological security showed both similarities and differences among the counties.In light of on the findings,we proposed that future strategies for ecological security enhancement should concentrate on enacting the policy of localizing spatial differentiation,optimizing industrial structure,strengthening scientific and technological support in the field of water conservation,bolstering the treatment capacity of environmental facilities,and implementing the Mountains-Rivers-Forests-Farmlands-LakesGrasslands System to support the sustainable development of dryland watersheds.
基金Under the auspices of National Natural Science Foundation of China(No.42230510)。
文摘Urban spatial carrying capacity is the comprehensive support capacity of natural resources for urban development,which is of great significance in guaranteeing the sustainable urbanization.The middle-east section of North Slope of Kunlun Mountains in Xinjiang,China,is characterized by harsh climate and sparse population,whereas it is important for the initiative of the new Silk Road Belt because of its important location.Cities in this area have begun to take shape,and the implementation of the Silk Road Belt Initiative will inevitably stimulate the urbanization in this area.The extent to which the cities in this area will be supported by natural resources and how to fulfill the requirements of sustainable socioeconomic development needs to be investigated.In view of this,the present study evaluated the urban spatial carrying capacity and discussed feasible approaches that could support the sustainable urbanization in this area.The results show that 97.59%of the study area belongs to the low and relatively low levels of spatial carrying capacity for urban construction,and the area of medium,relatively high and high levels is 1.12×104 km2,accounting for 2.41%of the total study area,mainly distributed in small clusters in the central alluvial fan oasis plains.Resource and environmental factors highly constrain urban construction,and low spatial matching of land and water resources,harsh climatic conditions and high risk of geological disasters are three major shortcomings.In addition,lagging transportation infrastructure construction and the resulting weak internal and external spatial connections also affect urban development.On this basis,the scientific arrangement of urban distribution,steady promotion of regional economic development based on local characteristics,further improvement of transportation infrastructure construction and strengthening the cooperation between the Xinjiang Production and Construction Corps and local governments are suitable approaches for sustainable urbanization in the study area.
基金National Natural Science Foundation of China,No.42230510。
文摘Regional CO_(2) emissions are closely related to their territorial function, which is the major role a region plays in sustainable processes on the earth's surface. Given that China is implementing a top-down emission allocation quota strategy, studying the impact of a territorial function on emissions addresses the research gap from a spatial integration dimension.By investigating the effects of three basic functional territories(urbanization zones(UZ), food security zones(FSZ), and ecological security zones(ESZ)), horizontal spatial structure and vertical combinations of functional territories on CO_(2) emission patterns in China, we found that functional territory patterns were highly coupled with the spatial distribution of CO_(2) emissions, with a ratio of CO_(2) emissions from UZ–FSZ–ESZ was stable at around 5:2:1 from 2000 to 2017. Spatially, CO_(2) emissions in FSZ and ESZ were 1.06–2.12 times higher than the average value within 200 km from the UZ. As territorial function combination increased with spatial upscaling, the emission characteristics attributable to functional territories became indistinct. The findings above can provide a basis for the long-term prediction of CO_(2) emissions from spatial dimension, support scientific guidance for inter-zone cooperation and classified management of carbon emissions with the major function oriented zones as impetus.
