蒋艳玲, 付黎涅, 夏既胜, 刘丹莹, 何士俊. 基于GRA和MCR的西双版纳州生态安全格局构建研究[J]. 云南大学学报(自然科学版), 2024, 46(2): 366-378. doi: 10.7540/j.ynu.20230154
引用本文: 蒋艳玲, 付黎涅, 夏既胜, 刘丹莹, 何士俊. 基于GRA和MCR的西双版纳州生态安全格局构建研究[J]. 云南大学学报(自然科学版), 2024, 46(2): 366-378. doi: 10.7540/j.ynu.20230154
JIANG Yanling, FU Linie, XIA Jisheng, LIU Danying, HE Shijun. Research on the construction of ecological security pattern in Xishuangbanna based on GRA and MCR[J]. Journal of Yunnan University: Natural Sciences Edition, 2024, 46(2): 366-378. DOI: 10.7540/j.ynu.20230154
Citation: JIANG Yanling, FU Linie, XIA Jisheng, LIU Danying, HE Shijun. Research on the construction of ecological security pattern in Xishuangbanna based on GRA and MCR[J]. Journal of Yunnan University: Natural Sciences Edition, 2024, 46(2): 366-378. DOI: 10.7540/j.ynu.20230154

基于GRA和MCR的西双版纳州生态安全格局构建研究

Research on the construction of ecological security pattern in Xishuangbanna based on GRA and MCR

  • 摘要: 构建基于现状的生态安全格局对维护生态安全、提高生境质量、推动可持续发展意义重大. 以西双版纳傣族自治州为例,从水源涵养、土壤保持、生物多样性保护和生态敏感性4个方面选取14个指标因子,采用灰色关联分析(GRA)模型和最小累积阻力(MCR)模型划分生态安全等级,识别生态源地、廊道和节点,构建研究区生态安全格局,并提出差异化生态管控措施. 结果表明:①研究区平均生态安全指数为0.571,处于一般安全水平. 其中,安全等级面积占比为7.43%,较安全为39.23%,一般安全为13.23%,预警为23.64%,危险为16.47%;空间分布上,三县(市)生态安全水平均处于一般安全,且景洪市(0.573)>勐腊县(0.571)>勐海县(0.568),预警等级在景洪市和勐腊县的占比均超过27%. ②研究区共识别出生态源地7934.91 km2;生态廊道132条,长度2188.82 km;生态节点53个. ③研究区划分出3类生态保护分区. 其中,生态保护区需保持水土、保护生物多样性;生态控制区需控制建设用地规模,提供生态产品;生产活动区需开展环境综合整治,改善人居环境. 研究成果可为区域内开展生态安全保护提供依据,研究探索的基于GRA和MCR的生态安全格局研究方法可为类似研究提供参考.

     

    Abstract: It is crucial to establish an ecological security framework tailored to the current context to uphold ecological security, enhance the quality of the ecological environment, and propel sustainable development. In this study, Xishuangbanna was chosen as the focal area. Fourteen indices were selected based on the factors of water conservation, soil conservation, biodiversity conservation, and ecological sensitivity. The Analytic Hierarchy Process (AHP) was employed to calculate the weight of each factor. The Grey Relational Analysis (GRA) model was applied for single-factor evaluation, and a weighted combination of factors was executed in the raster calculator of ArcMap. Subsequently, the ecological security evaluation for the region was accomplished. Following this, the secure areas identified in the ecological security evaluation results served as ecological sources. The weighted superposition of the Normalized Difference Vegetation Index (NDVI) and Normalized Building Index (NDBI) was employed to construct the basic resistance surface. The Minimum Cumulative Resistance model (MCR) was used to extract ecological corridors and nodes, ultimately forming the comprehensive ecological security pattern for the study area. Finally, tailored ecological control measures were proposed based on the ecological security pattern and the land use status of the study area. The findings revealed that: (1) On the whole, the average ecological safety index for the study area is 0.571, indicating a general safety level, the safety level area constitutes 7.43%, relatively safe is 39.23%, general safety is 13.23%, forewarning is 23.64%, danger is 16.47%, and across different administrative divisions, all three counties (cities) exhibit general safety in their ecological security levels, with Jinghong (0.573) having a higher level compared to Mengla (0.571) and Menghai (0.568), the forewarning level proportion in Jinghong and Mengla both exceeds 27%; (2) The ecological source of the study area spans 7934.91 km2, encompassing 132 ecological corridors with a total length of 2188.82 km and 53 ecological nodes; (3) The study area is categorized into three types of ecological function zones, ecological protection zones necessitate water and soil conservation and biodiversity preservation, ecological control zones require the regulation of construction land expansion and the provision of ecological products, production activity zones should engage in comprehensive environmental improvement to enhance the human living environment.

     

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