土地利用与景观格局变化的空间分异特征研究--以天津市蓟县地区为例

Spatial variation in land use and landscape pattern-A case study of Ji County of Tianjin City

  • 摘要: 景观格局变化反映了区域生态功能与过程的变化, 而景观格局变化的空间分异显示了景观过程及其驱动力的空间差异, 有利于从空间上把握该区景观格局动态变化过程与特征。本文以天津市蓟县地区为例, 在遥感和GIS技术支持下结合多年统计资料, 分析研究区土地利用景观的时空动态变化过程与景观格局变化的空间分异特征。结果表明: 景观格局变化主要表现为景观呈破碎化趋势, 形状更加复杂, 多样性指数呈增加趋势, 生态系统正朝着多样性、均匀化的方向发展; 发生变化的土地利用类型以耕地转为林草地和建设用地为主。将研究区划分成3 km网格, 计算各网格内景观格局指数变化。景观格局动态变化的区域差异分析结果显示, 中南部平原区破碎化程度加剧, 而北部山区和自然保护区内人类活动干扰强度减弱。研究表明, 地形、交通和人口空间分布是景观格局变化的主要原因, 人口增加与经济发展是该区土地利用及景观变化的主要驱动力。

     

    Abstract: Variation in landscape could indicate change in regional ecological functions and processes. Spatial heterogeneity of landscape does not only reflect spatial variations in landscape processes, but also variation in the driving factors. Therefore, it is an essential pre-requisite for understanding the dynamics and characteristics of the landscape patterns in a given region. Using Ji County of Tianjin City as a case, this study analyzed temporal and spatial changes in land use and landscape pattern. Landsat remote sensing images were used in the study to determine spatial variations in the landscape and the related driving factors. For the period of study, there is fragmented trend in landscape change with varying and intricate landscape forms. There also exists an increasing diversity index, implying the development of regional landscape to diversification and evenness with time. Main land use change trend is from cropland to woodland, grassland or built-up land. The spatial distribution and change of 2 landscape pattern index - Number of Patches (NP) and Largest Patch Index (LPI) analyzed at 3 km by 3 km grid-cell size, show obvious spatial variations in landscape structure. The central and south regions of the study area are increasingly more fragmented than the north and the Natural Reserve where human activity is limited. Statistical analysis indicates that the spatial variations are mainly driven by spatial differences in geomorphology, population density, road network, etc. Human activity and economic development are the primary driving factors of change in the landscape pattern.

     

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