Evolution of Wetland Landscape Pattern and Its Driving Factors in Beijing
Supported by remote sensing and GIS technology, using multi-temporal TM images from 1984 to 2008 in Beijing, this paper analyzed the dynamic characteristics of wetland landscape pattern through selected indices including patch area, patch average area, fractal dimension index, diversity, dominance and contagion indices. Furthermore, the spatial centroids of each wetland type were calculated. Finally, the paper explored the evolution mode and driving factors of wetland landscape pattern. The results were obtained as follows: the total wetland area increased during the period 1984-1996, while it obviously declined from 1996 to 2004. The wetland area in 1994 accounted for only 47.37％ of that in 2004. The proportion of artificial wetland area was larger than that of natural wetland. The proportion of reservoir wetland was 33.50％-53.73％ and had the maximum average area. Pond and paddy field wetland type with the least average area accounted for 16.46％-45.09％ of the total wetland area. The driving force of natural river wetland is mainly natural elements, so its fractal dimension index is greater than the others. The Shannon diversity index of wetland landscape increased from 1.11 in 1992 to 1.34 in 2004, indicating that the difference between proportions of each wetland type decreased and its area was evenly distributed. The contagion index went down from 65.59 to 58.41, indicating that the connectivity decreased. Miyun reservoir had the largest area and its area change had a great impact on the location of the centroid. Wetland resources degenerated gradually for the joint effects of natural and artificial factors. During the period 2006-2008, the precipitation increased and the droughty condition was relieved. The government implemented a series of proactive policies to save water resources, and the wetland area increased.
NETL
NSTL
万方数据
维普
