基于TM影像的环巢湖土地利用景观格局驱动力研究

Driving Forces of Land Use Landscape Pattern Around Chaohu Lake Based on TM Image

  • 摘要: 以环巢湖周围乡镇(街道)为研究区,运用ArcGIS获取三期土地利用数据,借助Fragstats对区域景观格局特征变化进行分析,利用主成分分析和灰色关联度分析法探究造成研究区土地利用景观格局变化的驱动因子。研究表明:(1)2000—2020年间环巢湖土地利用类型中耕地、草地和建设用地变化幅度大,其中耕地和草地面积一直处于下降趋势,相反建设用地占比大幅提高,水域和森林面积总体上一直很稳定。(2)2000—2020年,环巢湖区域土地利用景观格局变化明显。NP、PD值总体变低,AREA_MN和AI值总体变高,区域景观破碎化程度在降低;SHDI和SHEI值有所下降,景观格局趋向简单化;LSI值由85.6862到57.7913,CONTAG值由42.3149到49.5843,区域景观形状与蔓延度变化呈现合理化发展。(3)年平均气温、年平均水位、总人口和第二产业总产值是影响环巢湖土地利用景观格局变化的主要驱动力因子。

     

    Abstract: The paper took the villages and towns around Chaohu Lake as the research area. ArcGIS was used to obtain the land use data of three periods, and Fragstats was used to analyze the changes of regional landscape pattern characteristics. Principal component analysis and grey relational analysis were used to explore the driving factors of land use landscape pattern changes. The results showed that: (1) Agricultural land, grassland land and construction land in chaohu lake area changed greatly from 2000 to 2020, and the proportion of agricultural land and grassland land in chaohu lake area increased significantly, while the water area and forest area remained stable. (2) From 2000 to 2020, land use landscape pattern in Chaohu Lake area changed significantly. The values of NP and PD were lower, while the values of AREA_MN and AI were higher, and the degree of regional landscape fragmentation decreased. SHDI and SHEI values decreased, and landscape pattern tended to be simplified. The LSI value was from 85.6862 to 57.7913, and the CONTAG value was from 42.3149 to 49.5843. The changes of regional landscape shape and sprawl showed reasonable development. (3) Annual average temperature, annual average water level, total population and total output value of secondary industry were the main driving factors affecting the change of land use landscape pattern around Chaohu Lake.

     

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