基于最佳尺度的景观生态风险时空变化研究: 以重庆市江津区为例

    Study on Spatiotemporal Changes of Landscape Ecological Risk Based on the Optimal Spatial Scale: A Case Study of Jiangjin District, Chongqing City

    • 摘要: 探究景观生态风险的时空变化规律,合理评估生态风险状况,有利于维护区域生态安全和经济社会可持续发展。以2000、2009和2018年3期遥感影像为基础,综合运用景观格局指数、空间自相关分析和地理探测器工具,探究最佳尺度下江津区景观生态风险时空变化特征及其影响因素。结果表明:(1)景观指数随粒度和幅度的改变而呈现不同的变化规律,90 m栅格和3 km网格尺寸能更好地体现景观格局空间异质性特征;(2)2000-2018年研究区景观生态风险空间格局变化较大,景观生态风险威胁程度整体有所上升,中风险区逐渐成为区域主导类型;(3)研究区各时期景观生态风险空间集聚特征显著,景观生态风险指数空间分布以高-高集聚和低-低集聚为主;(4)人类活动对于区域景观格局和生态系统的影响愈发强烈,人口密度和GDP是影响景观生态风险时空分布的重要驱动因素。研究结果可为长江上游重要生态屏障建设提供决策参考。

       

      Abstract: Exploring the spatiotemporal changes of landscape ecological risk and assessing the ecological risk situation is important for maintaining regional ecological security and sustainable economic and social development. Landscape pattern index, spatial autocorrelation analysis and geodetector analysis methods were used in this study to explore spatial-temporal variation characteristics and factors influencing landscape ecological risk in Jiangjin District of Chongqing at the optimal spatial scale based on remote sensing images in 2000, 2009 and 2018. The results reveal that: (1) With changes in grain size and extent, different regularities were exhibited in landscape indexes. A pixel size of 90 m and a grid size of 3 km better reflected the spatial heterogeneity of landscape patterns; (2) Spatial patterns of landscape ecological risk in the study area changed substantially, the overall threat degree of landscape ecological risk increased and the medium-risk area gradually became the dominant type of the region from 2000 to 2018; (3) There was marked spatial concentration of landscape ecological risk in each period of the study area, and the spatial distribution of the landscape ecological risk index mainly exhibited a high-high aggregation pattern and a low-low aggregation pattern; (4) Human activity had an increasingly strong impact on regional landscape patterns and ecosystems. Population density and gross domestic product were important driving factors affecting the spatial and temporal distribution of landscape ecological risks. These results could provide decision-making references for the construction of important ecological barriers in the upper reaches of the Yangtze River.

       

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