基于SRP模型的川藏线2010-2020年生态脆弱性时空分异与驱动机制研究
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X171

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中国博士后科学基金第13批特别项目“重大工程背景下黄土高原生态地质环境脆弱性评价”(2020T130074);中国博士后科学基金项目(二等)“近50年黑方台黄土滑坡与农作物更替时空耦合机制分析”(2017M622982)


Spatial and temporal Differentiation and Driving Mechanism of Ecological Vulnerability Along Sichuan-Tibet Railway During 2010-2020 Based on SRP Model
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    摘要:

    [目的] 探究川藏铁路沿线2010—2020年生态脆弱性时空分布特征,厘清生态脆弱格局规律以及空间相关性,为沿线生态环境保护以及建后可持续发展工作提供科学依据。[方法] 以川藏线(雅安—新都桥段)为例,基于研究区实地特征和SRP模型选取与生态脆弱性密切相关的15个因子构建研究区生态脆弱性评价指标体系。综合运用空间主成分分析、空间自相关、热点分析、地理探测器等方法开展研究。[结果] ①时空分布上,研究区整体脆弱性由西向东呈递减分布,2010—2020年生态状况整体向好,重度与极度脆弱区范围较小,占总面积的3.95%,主要分布在康定市与天全县、泸定县的交界处,此处为高寒地带,冻融侵蚀最为严重; ②研究区生态脆弱性分布具有较强聚类特征,高低值集聚模式共存,西部为热点高度集聚区,东部为冷点高度集聚区; ③高程、年均气温、植被净初级生产力是导致研究区生态脆弱的主要因素。[结论] 川藏线(雅安—新都桥段)施工建设受降水和气温影响较大,地形复杂,要注意地质灾害防控并加强环境保护与生态维持。

    Abstract:

    [Objective] The spatial and temporal distribution characteristics of ecological vulnerability along Sichuan-Tibet railway from 2010 to 2020 was explored, and the pattern and spatial correlation of ecological vulnerability was clarified, in order to provide scientific basis for ecological environment protection and sustainable development after construction.[Methods] Taking the Sichuan and Tibet railway (Ya'an-Xinduqiao section) as an example, 15 factors closely related to ecological vulnerability were selected based on the field characteristics and SRP model to construct the ecological vulnerability evaluation index system. Spatial principal component analysis (PCA), spatial autocorrelation, hot spot analysis and geographic detector were used to carry out the research.[Results] ① In terms of spatial and temporal distribution, the overall vulnerability of the study area decreased from west to east, and the ecological status of the study area improved from 2010 to 2020. The severe and extremely vulnerable areas were small, accounting for 3.95% of the total area, and mainly distributed in the junction of Kangding City, Tianquan County and Luding County, which was an alpine zone with the most serious freezing-thawing erosion. ② The distribution of ecological vulnerability in the study area has strong clustering characteristics, with high and low values co-existing. In the west, hot spots are highly concentrated, while in the east, cold spots are highly concentrated. ③ Elevation, average annual temperature and net primary productivity of vegetation were the main factors leading to ecological fragility in the study area.[Conclusion] The construction of the Sichuan-Tibet railway (Ya'an to Xinduqiao section) was greatly affected by precipitation and temperature, and the terrain was complicated. Therefore, attention should be paid to geological disaster prevention and control, environmental protection and ecological maintenance.

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孙宇晴,杨鑫,郝利娜.基于SRP模型的川藏线2010-2020年生态脆弱性时空分异与驱动机制研究[J].水土保持通报,2021,41(6):201-208

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  • 收稿日期:2021-05-06
  • 最后修改日期:2021-08-02
  • 在线发布日期: 2022-01-06