[Spatio-temporal Evolution of Drought and Its Impact on Key Resources in the Important Ecological Functional Area: A Case Study in the Yellow River Basin].

This study explored the characteristics of spatial and temporal changes in drought in the Yellow River Basin from 2001 to 2020 based on TVPDI, surface runoff, vegetation net primary productivity, and grain yield data. Further, the effects of drought on water resources, grain resources, and vegetation resources were also analyzed using data spatialization methods, slope trend analysis, and Pearson correlation analysis. The results showed that:① The spatial distribution of drought in the Yellow River basin was stepped from southeast to northwest, and 60.6 % of the basin was in drought. The overall trend of drought in the basin was decreasing annually, and 94 % of the basin was gradually changing from drought to wet conditions, and the trend of drought from spring to winter decreased first and then increased. ② From the spatial and temporal changes in important resources in the basin, 53 % of the key surface runoff areas showed an increasing trend and were mainly located in the southwest of the basin; the net primary productivity (NPP) of vegetation and grain yield of food resources also showed an increasing trend. ③ Drought and the three types of resources showed significant spatial correlations, and the higher the degree of drought, the more significant the effects on surface runoff, vegetation productivity, and grain yield. However, the important resources in areas that had become wetter in recent years had not increased significantly, which indicated that the effects of drought on the three types of important resources had a time lag, and their lags had significant differences in spatial distribution and geographical differentiation patterns. This study has important theoretical implications for agricultural production, drought mitigation, and ecological conservation in the Yellow River Basin.

[Changes in Land Use Carbon Emissions and Coordinated Zoning in China].

Carbon emissions from land use changes have become one of the main sources of regional carbon emissions. In order to explore its changes, based on the MCD12Q-LUCC data of MODIS from 2001 to 2019 using the carbon emission coefficient method, clustering, and outlier analysis method, the spatial characteristics of land use carbon emissions in various provinces in China in the past 19 years were discussed from the perspectives of carbon emission economy contributive coefficient, carbon ecological support coefficient, and their coupling and coordination relationship. The results showed that:① from 2000 to 2019, the national land use carbon emissions increased significantly; however, after 2011, the growth rate of carbon emissions became flat, whereas the growth of carbon sinks was relatively slow, and the gap between the two was still large. ② Clustering and outlier analysis showed that during the study period, the high-value agglomeration centers of land use carbon emissions in various provinces and cities across the country shifted from Guangdong, Jiangsu, and other provinces to Hebei, Shanxi, Inner Mongolia, and other provinces, and the agglomeration status became increasingly obvious. ③ The economy contributive coefficient of carbon emissions in all provinces and cities across the country had the spatial characteristics of being high in the south and low in the north, and the ecological support coefficient gradually developed from high in the west to low in the east, followed by that in the north, and the coupling coordination between the two showed a downward trend. ④ Based on the economy contributive of carbon emissions and carbon ecological support, this study divided the provinces into four categories:low-carbon maintenance area, economic development area, carbon sink development area, and comprehensive optimization area. We also put forward our own development suggestions, striving to achieve carbon neutrality and low-carbon sustainable development.

[Eco-environmental effects and spatiotemporal evolution characteristics of land use change: A case study of Hexi Corridor, Northwest China.] / åœŸåœ°åˆ©ç”¨å˜åŒ–çš„ç”Ÿæ€çŽ¯å¢ƒæ•ˆåº”åŠå ¶æ—¶ç©ºæ¼”å˜ç‰¹å¾­­ä»¥æ²³è¥¿èµ°å»Šä¸ºä¾‹.

Based on the land use data of Hexi Corridor region from 1980 to 2020, we calculated the ecological environment quality index and analyzed the spatial and temporal evolution characteristics, change frequency, patterns, circles of the long time series land use type changes and its ecological environment quality, using the spatial analysis method of ArcGIS. The results showed that unused land was the main land use type in the study area during 1980-2020. The area of construction land, forest land, grassland, and water changed more, and the transition among land use types was obvious. The trends of deterioration and improvement of ecological environment quality in the study area occurred simultaneously and offset each other under certain conditions. The ecological environment quality index evolved in a 'U' shape, first decreasing and then increasing, with little change in overall ecological environment quality fluctuations. The spatial clustering of ecological quality was obvious, which was higher in the southeast and lower in the northwest, without high frequency and large change. The ecological quality in the southeast quadrant of the study area was the worst, followed by the southwest and northwest quadrants, while the ecological quality in the northeast quadrant was the best. The area of the continuously decline zone in ecological environment quality type conversion was larger than that of the continuously rising zone, indicating that ecological environmental protection in the Hexi Corridor had been effective during the study period. The hot spots of ecological quality change were mainly distributed in the central and southwestern part of the Hexi Corridor, and the cold spots were mainly distributed in the northwestern part.

[Spatial distribution characteristics and influencing factors of eco-environmental quality based on RS and GIS in Shiyang River Basin, China.] / 基于RS和GISçš„çŸ³ç¾Šæ²³æµåŸŸç”Ÿæ€çŽ¯å¢ƒè´¨é‡ç©ºé—´åˆ†å¸ƒç‰¹å¾åŠå ¶å½±å“å› ç´ .

Based on RS and GIS, 11 indexes from three aspects including natural capital, social pressure and economic supports were selected. The natural capital index (NCI), social pressure index (SPI), economic support index (ESI), and environment quality evaluation index (EQEI) were constructed by using spatial principal component analysis, variation coefficient method, and analytic hierarchy process. The spatial distribution characteristics and influencing factor of the environmental quality in Shiyang River Basin were analyzed. The results showed that the overall environmental quality was at poor level in Shiyang River Basin. The regions with better classes of environmental quality were mainly concentrated in the upper reaches of Qilian Mountains, and those with poorer classes were mainly concentrated in the middle-lower reaches of low hills land and desert. The EQEI value in Shiyang River Basin had polarization phenomenon from southwest to northeast. With the variation of distance, the value had large variation range, with obvious spatial heterogeneity. The environmental quality showed both high and low aggregation patterns, with "fault" distribution. There were highly clustered hot spots and highly clustered cold spots in the basin. Among the influen-cing factors of environmental quality, natural capital was the dominant one, social pressure was the second, and economic support was the least contributor.