The carbon sequestration function of the ecosystem is one of the most important functions of ecosystem service, and it of great significance to study the spatio-temporal differentiation of carbon storage for promoting regional sustainable development. Ecosystems on the Western Sichuan Plateau are highly variable, but its spatio-temporal differentiation and driving factors are not yet clear. In this study, on the basis of land use monitoring data, meteorological and demographic data interpreted from Landsat remote sensing image, and through GIS analysis tools, the carbon storage module of InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model was used to estimate carbon storage and geodetector was used to detect the driving factors of carbon storage spatial differentiation. The results show that: (1) The carbon storage increased to 1.2455 × 1010 t from 1.2438 × 1010 t in the past 20 years, the ecosystem developed in a healthy way overall. (2) Carbon storage show High-High and Low-Low aggregation characteristics, but the area decreased by 1481.81 km2 and 311.11 km2 respectively, and the spatial cluster effect gradually weakened. (3) HAI is the leading factor causing the spatio-temporal differentiation of regional carbon storage, followed by temperature and NDVI; the interaction between factors significantly enhances the spatial differentiation of carbon storage, indicating that the change of carbon storage is the result of the joint action of natural and socioeconomic factors. The results of the study provide some theoretical basis for the development of differentiated ecological regulation models and strategies, and help to promote high-quality regional development.
Research on the poverty risk caused by disasters in disaster - prone areas is a useful exploration to coordinate social economic development with disaster prevention and reduction, and is of great significance to regional sustainable development. Based on statistical data and spatial data, this paper takes Sichuan Province as the typical research area. Remote sensing and geographic information technology are used to study the poverty risk caused by disasters based on the quantitative evaluation of geological disasters risk and regional development level. the spatial differentiation characteristics of poverty risk caused by disasters are explored on the 1 km × 1 km grid scale. The results indicate that: (1) The overall risk of geological disasters in Sichuan Province is relatively high, with high and relatively high risk areas accounting for more than 40%, low and relatively low risk areas accounting for less than 30%. The risks in Mountain and Ravine Areas are significantly higher than other areas. (2) The regional development level in Sichuan Province is relatively high, but with significant the spatial differences. The development level of high-altitude areas and remote mountainous areas is quite different from that of the Chengdu Plain in the middle Sichuan Province. the problem of uneven development in the east, middle, and west is prominent. (3) The poverty risk caused by disasters is high, and the spatial pattern presents a characteristic of “high in the west and low in the east” with high positive spatial correlation. High - High Cluster Areas are mainly distributed in western and southwestern Sichuan. Low - Low Outlier Areas are mainly distributed in Chengdu Plain and Hilly Areas of Sichuan Basin. High - Low Outlier and Low - High Outlier Areas occupy a relatively small percentage with scattered distribution. This paper provides a reference for the coordinated management of disaster prevention and reduction, as well as social and economic development in underdeveloped areas.
The scattered, isolated, and closed nature of rural settlements in northwest Sichuan is a constraint on the high-quality development of rural areas. Determining the spatial differences and driving forces of rural settlements in this area is the essential prerequisite for promoting rural revitalization. In this paper, the methods of the nearest neighbor index, the Voronoi diagram, and the Geodetector are used to analyze the spatial distribution characteristics of rural settlements and explore the driving factors of their spatial differences. The key findings are as follows. (1) The rural settlements exhibit the feature of “an extensive dispersion with localized concentrations”. The spatial distribution is in the shape of dots, strips, and branches along the river valley. (2) The number and land use scale of rural settlements decreases from east to west. The spatial differences in settlement morphology have a clear feature that the settlement morphology along the river and road is more complex, while the settlement morphology in the plateau area and the river valley is relatively regular. (3) Mountain disasters and arable land resources have the greatest impact on the spatial differences of the settlements. The location and form of the settlements are greatly affected by the altitude and accumulated temperature, and the settlement scale is significantly affected by the traffic conditions and the scenic spots. The mutually reinforcing role of the driving factors is remarkable, especially the reinforcing effects of the enhancement between the arable land resources and other factors. The research results provide data support for the reconstruction, improvement, and high-quality development of rural settlements in this region.
The 2008 Sichuan Earthquake brought severe damage and long-lasting impact to the ecoenvironment in the disaster area. To restore and protect the eco-environment, it is important to grasp the eco-environmental situation of the disaster area in a rapid, accurate, and dynamic manner. With the aid of geographical information system (GIS), this paper extracts the key parameters of the eco-environment, and establishes an evaluation index system for ecoenvironment quality. On this basis, the eco-environment quality of the disaster area was evaluated based on the 2007-2017 Landsat remote sensing images, using the analytic network process (ANP). The results show that the eco-environment quality of the disaster area was improving, but the restoration process varied greatly around fault zone and on river banks, which should be the focal points of monitoring; the spatiotemporal difference in ecoenvironment restoration is mainly attributable to the development degree of secondary geological disasters, and indirectly caused by formation lithology; there was a huge gap between the restoration speeds of artificial restoration area and natural restoration area, but the gap narrowed over time. The research results provide the basis for scientific decision-making on eco-environment repair and restoration in places similar to the disaster area, promoting the green economy and living condition in those regions.
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