文峪河流域景观格局动态及其驱动力分析

以文峪河流域为研究对象,分析流域2000—2018年景观格局数量动态的面积、转移及速度特征。从斑块类型尺度与景观尺度2个层面选取景观指数分析流域近18年的景观格局动态,并在流域尺度上沿城市—林区梯度线分析沿线景观格局指数的梯度分布,基于数量统计模型对景观格局动态驱动力进行研究。结果表明,流域耕地、林地、草地面积有所减少,向其余地类支出面积,水域、建设用地、未利用地面积增加,向其余地类吸收面积,不同地类土地转移、变化速度情况不同。不同景观类型的格局动态不同,流域整体景观破碎化程度增加,连通性下降、景观规则度下降、景观核心面积下降,不同景观指数的梯度分布特征不同。自然驱动因子、社会驱动因子对流域景观格局变化均具有驱动作用,文峪河流域的景观动态在过去18年间经历了快速、复杂的变化,社会经济驱动因子是景观格局演变的主要驱动力量,经济与人口发展、产业结构及工业化进程是文峪河流域景观格局演变的重要驱动力量。

Analysis of Landscape Pattern Changes and Driving Forces in Nanling National Nature Reserve

The spatial and temporal changes of landscape pattern and their driving forces in each functional zone of Nanling National Nature Reserve were analyzed based on the GIS and RS platform. The results showed that from 1988 to 2009, in respect of changes of Jandscape area, the main forest landscape accounted about 95% of the total area, of which evergreen broad-leaved forest had the largest area, accounting for more than 50% of the total area. The dominant landscape was coniferous forest. In respect of landscape fragmentation, the density index of land- scape in the whole area increased, and the degree of landscape fragmentation also increased. In the core area, the patch density decreased slightly, and the average patch area of each type of landscape increased; the degree of landscape fragmen- tation increased slightly. In the buffer area and the experimental area, the degree of landscape fragmentation increased. In terms of landscape diversity, the landscape pattern in the whole area became complex, and the diversity index of landscape in- creased and the degree of heterogeneity increased. In the core area, the diversity index of landscape increased slightly. In the buffer area, it increased significantly. In the experiment area, the diversity index reduced, and the degree of landscape het- erogeneity reduced. In the whole study area, the landscape tended to be diversified. The landscape pattern of the experimental area was consistent with that of the whole study area, and there was no obvious change in the buffer zone, while the landscape pattern in the core area developed towards the single direction.

Temporal and Spatial Variations of Eco-asset Patterns and the Factors Driving Change in the Wanjiang Demonstration Area

With the rapid development of the society and the economy, people are paying more attention to the value of natural resources and the benefits of the ecological environment. Evaluating the value of eco-assets has become a focus of concern. Quantitative remote sensing measurements, land data and other auxiliary data were used to measure the eco-assets in 46 regions of the Wanjiang Demonstration Area from 1990 to 2013. This paper analyzes temporal and spatial variations of eco-assets’ distribution, composition, change patterns and the factors driving variations. The results show that the distribution of eco-assets in the regions is very uneven, the central region has higher ecological assets than other regions, and it declined first and then rose during the period 1990-2013. The total amount of eco-assets increased by 3.05%. The change in the amount of ecological assets was not large, but it is important that the amount of assets was basically stable, and increases in the proportion of degraded areas was small. Grassland and water body eco-assets decreased by 11.19% and 0.66%, respectively, and that of cultivated land decreased by 15.54%, but forest land increased by 6.42%. As for the change pattern of ecological assets, the per capita assets of Hefei had the largest reduction, and those of Xuancheng the second largest. The spatial and temporal changes of ecological assets in the Wanjiang Demonstration Area include natural factors and human factors. The government’s macro-control and economic policies are the main driving factors for the spatial and temporal changes of the ecological assets pattern.