Spatiotemporal patterns and driving mechanism of tourism ecological security in Guangxi, China

Tourism ecological security (TES) is an important index reflecting the sustainable development of the regional economy. The construction of the China and ASEAN Free Trade Area has increased the total tourist consumption of Guangxi province by 36.48%. Unfortunately, overconsumption of resources, air pollution, disturbance of indigenous life, and other environmental degradation problems emerged due to the significant increase in tourists. Measuring the resilience of the tourism ecosystem is an urgent need to promote the high-quality development of tourism in Guangxi. To explore the dynamic changes in TES and its driving mechanism, the DPSIR (driver–pressure–state–impact–response) model for the tourism ecosystem was developed. The dynamic changes in TES and its driving mechanism from 2010 to 2019 were analyzed using fuzzy matter-element analysis, Markov chains, Geodetector, and other methods. The results show that: (1) the TES value increased steadily by 72.73%; the improvement speed was Northeast > Southwest > Southeast > Northwest; (2) TES was negatively correlated with location, 14 cities developed independently; (3) the TES has a smaller probability to shift the lower level; (4) urbanization, water consumption, green area, tourism revenue, and the number of students in colleges had significant effects on TES. Four policies were proposed to improve TES: (1) developing forest tourism; (2) implementing greening projects in abandoned mining areas; (3) increasing tourism technical personnel; and (4) reducing clearance time for inbound tourists

Assessment of eco-security in the Knowledge Grid e-science environment q

Ecological security is an important basis of the entire human security system, the cornerstone for human survival. Knowing the status of ecological security is crucial for making decisions to avoid ecological disaster. Existing research, both the basic research on ecological security mechanism and information service systems, is still primitive in their abilities to resolve eco-security problems. This paper investigates the eco-security impact factors and identifies eco-security types. Taking urban eco-security as an example, we develop an assessment method including the indicator system and assessment model, and construct an integrated assessment framework based on data integrity, security assessment and security management with the support of the Knowledge Grid e-science environment. The proposed assessment framework enables decision makers to better know the status of eco-security in making policies for achieving sustainability