Paper
10 February 2023 Geoinformatics models show changes in ecological vulnerability in Yushu Tibetan Autonomous Prefecture
Ye Teng, Yu Hu, Luo Guo
Author Affiliations +
Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520R (2023) https://doi.org/10.1117/12.2667509
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
This study collected data related to ecological environment, society and economy in Yushu Tibetan Autonomous Prefecture from 2000 to 2015, and used ArcGIS 10.4.1 and Fragstats 4.2 software to analyze the ecological vulnerability of the area by using Principal Component Analysis (PCA). In the research process, construct a DPSIR-EES conceptual model that combines the Driver-Pressure-State-Impact-Respinse (DPSIR) model and Ecology-Economy-Social (EES), using Delphi and Analytic Hierarchy Process (AHP) analyze the changes in time and space of ecological security in Yushu area from 2000 to 2015. At the same time, questionnaire survey was used to analyze residents' cognition of ecological environment in Yushu area. Finally, the paper analyzes the changes and trends of ecological security in the "Ecology-Economy-Social" complex ecosystem formed on the basis of traditional production and lifestyle in Yushu. The results show that: 1) There are differences in the time and space dimensions of the ecological vulnerability of Yushu. In the time dimension, there is a weak trend toward both ends, and the spatial dimension shows a trend of high in the northwest, general in the middle, and low in the southeast. 2) There are differences in the spatial dimension of Yushu ecological security. The eastern region is significantly higher than the western region, showing the distribution characteristics of insecurity in the northwest, early warning in the central region, and security in the southeast. In the time dimension, the range of changes in each degree is less than 5%, and there is a bipolar development weak trend. 3) Residents in Yushu Prefecture whose main body is farmers and herdsmen have a better understanding of the overall situation of ecological security. 4) The natural climatic conditions and traditional production and lifestyles in Yushu area jointly affect the ecological security status. Ecological security conditions are poor in areas with harsh natural conditions and underdeveloped economies, while ecological security conditions in areas with relatively superior natural and economic conditions are relatively good.
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Ye Teng, Yu Hu, and Luo Guo "Geoinformatics models show changes in ecological vulnerability in Yushu Tibetan Autonomous Prefecture", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520R (10 February 2023); https://doi.org/10.1117/12.2667509
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KEYWORDS
Analytical research

Geoinformatics

Data centers

Data modeling

Ecosystems

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