首页|环巢湖地区生境质量时空演变分析与优化研究

环巢湖地区生境质量时空演变分析与优化研究

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快速城市化是威胁区域生态安全的关键因素之一,生境质量是反映生态状况的重要指标.了解和评估生境质量对维持生态系统服务能力和促进人类福祉至关重要.综合利用土地利用动态度,使用InVEST模型探究2000-2020年环巢湖地区生境质量和退化程度,结合空间相关性分析研究其时空演变特征.研究表明:环巢湖地区生境质量总体呈现先短暂上升后下降的趋势,空间上表现为南部地区高于北部,生境质量中等区域占比最大,而高质量区面积较少,生境质量与空间分布呈正向相关,且聚类模式逐年趋于明显.环巢湖地区城市扩张引发土地结构动态变化,影响局部生境退化和生态功能丧失,未来需优化空间资源分配,全面考虑区域差异和内在联系,构建合理化生态网络,以满足区域经济发展与生境质量间的平衡.
Spatial-temporal Evolution Analysis and Optimization of Habitat Quality in Chaohu Lake Area
Rapid urbanization is one of the key factors threatening regional ecological security and destroying human well-being.Understanding and assessing habitat quality is essential for maintaining ecosystem service capacity and promoting human well-being.Based on the dynamic degree of land use,the InVEST model was used to explore the habitat quality and degradation degree of Chaohu Lake area from 2000 to 2020,and the spatial and temporal evolution characteristics were studied by spatial correlation analysis.The results showed that the habitat quality in the Chaohu Lake region generally showed a short-term upward trend and then a downward trend.The spatial performance was higher in the southern region than in the northern region.The medium habitat quality area accounted for the largest proportion,while the high-quality area was less.The habitat quality was positively correlated with the spatial distribution,and the clustering pattern tended to be obvious year by year.Urban expansion in the Chaohu Lake area has caused dynamic changes in land structure,affecting local habitat degradation and loss of ecological functions.In the future,it is necessary to optimize the allocation of spatial resources,comprehensively consider regional differences and internal relations,and build a rational ecological network to meet the balance between regional economic development and habitat quality.

habitat qualityspatial-temporal evolutionInVEST modelChaohu Lake Area

胡明璐

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合肥大学设计学院,安徽 合肥 230601

生境质量 时空演变 InVEST模型 环巢湖地区

2024

皖西学院学报
皖西学院

皖西学院学报

影响因子:0.299
ISSN:1009-9735
年,卷(期):2024.40(5)