Bulletin of Surveying and Mapping ›› 2023, Vol. 0 ›› Issue (7): 18-24.doi: 10.13474/j.cnki.11-2246.2023.0195

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Exploring the spatio-temporal variation of the regional environment and driving factors based on ecological sensitivity: taking Ding'an county as an example

SONG Peilin1,2,3,4, XIE Jibo1,2,3, YANG Tengfei1,2,3, MOU Naixia4, CHEN Mo4, WANG Xiaoyu1,2,3,4   

  1. 1. Key Laboratory of Earth Observation of Hainan Province, Sanya 572029, China;
    2. Hainan Research Institute, Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya 572029, China;
    3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
    4. Shandong University of Science and Technology, Qingdao 266590, China
  • Received:2022-09-14 Revised:2023-05-19 Online:2023-07-25 Published:2023-08-08

Abstract: Ecological sensitivity is one of the main methods for analyzing the stability of regional ecological environment, and its evaluation results are of great significance for regional ecological protection and decision-making. This article focuses on Ding'an county as the research area. It selects 9 sensitive indicators from four aspects of soil erosion, habitat, terrain, and water resources to construct an ecological sensitivity evaluation system. The combination weighting and analysis of the ecological sensitivity spatio-temporal distribution and changes in 2013 and 2021 are conducted using the AHP (analytic hierarchy process) and entropy weight method. Furthermore, it analyzes the spatial agglomeration, regional changes in ecological sensitivity, and the main driving factors behind them using geographic detector analysis. The results show: From 2013 to 2021, the ecological sensitivity of Ding'an county was the distribution pattern of high in the south and low in the north, and the overall ecological sensitivity showed a downward trend. The spatial agglomeration effect of ecological sensitivity is significant, but the spatial agglomeration decreases with time, and both high-value and low-value agglomeration areas tend to shrink. The transfer of ecologically sensitive areas mainly occurs in medium-sensitive and high-sensitive areas, and the level of change is mainly first-level increase and decrease. Compared with other sensitive indicators, the driving force of land use and vegetation coverage on ecological sensitivity is larger, and with the passage of time, the driving force of land use and vegetation coverage on ecological sensitivity tends to play a leading role.

Key words: ecological sensitivity, AHP, entropy weight method, spatial agglomeration, geographic detector

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