Spatial Grain Size Effect on Land Use Pattern Changes Within the Yanghe Watershed in 1990-2013

doi:10.11924/j.issn.1000-6850.casb18030041

Abstract

Abstract: To measure landscape pattern metrics traits with changes of grain sizes, and summarize differences of landscape traits in different grain sizes, based on data of land use within the Yanghe Watershed in 1990, 2000 and 2013, landscape pattern metrics were chosen at the levels of class and landscape, and the effects of grain sizes in the range of 20 to 400 m on landscape pattern metrics were analyzed, using Geographic Information System (GIS) and Fragstats software. The functions for landscape pattern metrics and grain sizes were fitted and the variation coefficients of landscape pattern metrics were determined. The results showed that the normalized landscape shape index (NLSI), the aggregation index (AI), and the clumpiness (CLUMPY) for all land-use types at the class level within the Yanghe Watershed in 1990-2013 decreased with increasing of grain sizes and were well fitted by the quadratic polynomial-functions. Similarly, changes of patch density (PD) with grain sizes for farmland, woodland and rural-urban construction land were well fitted by quadratic polynomial functions and those for unused land were well fitted by a negatively linear function. Moreover, among all the landscape pattern metrics, the effective mesh size (MESH) and the normalized landscape shape index (NLSI) were the most sensitive to the changes of grain sizes for water area and rural-urban construction land, respectively. Among all the land-use types within the Yanghe watershed, the water area was the most sensitive to the changes of grain sizes. The AI, CLUMPY, MESH and the mean shape index (SHAPE_MN) for unused land in 2013 were smaller than those in 1990 and 2000, while the NLSI for unused land in 2013 was higher than those in 1990 and 2000. Besides, the yearly differences of the AI, CLUMPY, MESH, NLSI for the rural-urban construction land in 1990-2013 were completely contrary to those for the unused land. The PD for unused land and rural-urban construction land in 2013 was higher than those in 1990 and 2000. At the landscape level, among all landscape metrics, the PD and LSI were the most sensitive to the changes of grain sizes. The patch richness (PR) did not change with the grain sizes. Changes of the Shannon diversity index (SHDI), the Shannon evenness index (SHEI) and the shape coefficient of variation index (SHAPE_CV) with the grain sizes were complex. Changes of the mean fractal dimension index (FRAC_MN), the SHAPE_MN, the AI, the contagion (CONTAG), the PD, the landscape shape index (LSI) and the cohesion (COHESION) with grain sizes in 2013 were similar to those in 1990 and 2000. The paper concludes that significant scale effects exist in most landscape pattern metrics in the Yanghe Watershed landscape, in addition, different responses to the changing grain size occur with different landscape metrics, and various land use types. The present study could improve the understanding of the changes of landscape pattern at the scale of watershed in the future.

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