2006Unpublished venueRequires access

Characteristics of Scale and Hierachical Structure of Landscape System under Different Heterogeneities of Land Cover Patterns in Guangzhou City

Nan Li

Open publisher page 1 citations

Abstract

The pattern of land cover in Guangzhou city was translated from remote sensing image of SPOT. Two transects of north-south (N/S) and west-east (W/E) were set at the cross point which was the center of Guangzhou. Landscape diversity was selected as an index to describe the abundance of landscape. Four kinds of different extents were chosen to calculate the indices, such as 125 m, 250 m, 500 m and 1000 m. All those calculations were performed with Fortran programs under moving square windows of corresponding extents. The moving windows were sampled along the transects from west to east and from north to south with the step of a moving window size. Based on the calculation of diversity index, coefficients Moran I and Geary C and function of semi-variance were counted at different extents for correlativity of landscape diversity of urban land cover. Then, the two transects were partitioned by equal distance of the small width of the transects, 8000 m. A series of sample units with equal area were formed along the two transects. Scale variances were figured out for each unit based on the indices of landscape diversity. It was carried out at four extents. The scale variance of each transect was an average of all units in the same transect. The results revealed that there was a positively spatial autocorrelation between landscape diversities under different extents and the two transects had different spatial heterogeneities of landscape. Besides internal factors, variances of spatial structure of land cover in the two transects were affected by human activities directly. Different rates of factors formed different spatial heterogeneities of landscape of urban land cover. The semi-variance curve of diversity index was not different obviously with the increasing extents at N/S transect, but it was obvious at W/E transect. The rate of Co/(Co+C) increased monotonously, indicating that the impact of stochastic factors on landscape diversity increased with the increase of research extent. The scale variance of landscape of land cover in the moving windows along the two transects under different extents decreased with the increase of scales, and all scale variances went to be almost similar at a large extent of 1000 m. The values of scale variances were obviously relative to spatially geometrical shape. The scale variance of landscape was bigger when spatial shape of sample units was a rectangle in contrast to the shape of a square. The spatial heterogeneity of landscape in the two transects was not only relative to the direction of transect, but also relative to the extent. The scale variance did not monotonously change from small extent to large extent, such as extents of 125 m and 250 m, the change of scale variance decreased with the increase of extent. Analysis of scale variance showed that there was a multi-scale hierachical structure of land cover, but it was different between the N/S and W/E transects. The heterogeneity was higher in the W/E transect than in the N/S transect. In a word, the scale variance and function of semi-variance are appropriate methods to study spatial heterogeneity and hierachical structure of landscape of urban land cover with changes in scale and extent.

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What this paper is about

The pattern of land cover in Guangzhou city was translated from remote sensing image of SPOT. Two transects of north-south (N/S) and west-east (W/E) were set at the cross point which was the center of Guangzhou. Landscape diversity was selected as an index to describe the abundance of landscape. Four kinds of different extents were chosen to calculate the indices, such as 125 m, 250 m, 500 m and 1000 m. All those calculations were performed with Fortran programs under moving square windows of corresponding extents. The moving windows were sampled along the transects from west to east and from north to south with the step of a moving window size. Based on the calculation of diversity index, coefficients Moran I and Geary C and function of semi-variance were counted at different extents for correlativity of landscape diversity of urban land cover. Then, the two transects were partitioned by equal distance of the small width of the transects, 8000 m. A series of sample units with equal area were formed along the two transects. Scale variances were figured out for each unit based on the indices of landscape diversity. It was carried out at four extents. The scale variance of each transect was an average of all units in the same transect. The results revealed that there was a positively spatial autocorrelation between landscape diversities under different extents and the two transects had different spatial heterogeneities of landscape. Besides internal factors, variances of spatial structure of land cover in the two transects were affected by human activities directly. Different rates of factors formed different spatial heterogeneities of landscape of urban land cover. The semi-variance curve of diversity index was not different obviously with the increasing extents at N/S transect, but it was obvious at W/E transect. The rate of Co/(Co+C) increased monotonously, indicating that the impact of stochastic factors on landscape diversity increased with the increase of research extent. The scale variance of landscape of land cover in the moving windows along the two transects under different extents decreased with the increase of scales, and all scale variances went to be almost similar at a large extent of 1000 m. The values of scale variances were obviously relative to spatially geometrical shape. The scale variance of landscape was bigger when spatial shape of sample units was a rectangle in contrast to the shape of a square. The spatial heterogeneity of landscape in the two transects was not only relative to the direction of transect, but also relative to the extent. The scale variance did not monotonously change from small extent to large extent, such as extents of 125 m and 250 m, the change of scale variance decreased with the increase of extent. Analysis of scale variance showed that there was a multi-scale hierachical structure of land cover, but it was different between the N/S and W/E transects. The heterogeneity was higher in the W/E transect than in the N/S transect. In a word, the scale variance and function of semi-variance are appropriate methods to study spatial heterogeneity and hierachical structure of landscape of urban land cover with changes in scale and extent.

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Available abstract

The pattern of land cover in Guangzhou city was translated from remote sensing image of SPOT. Two transects of north-south (N/S) and west-east (W/E) were set at the cross point which was the center of Guangzhou. Landscape diversity was selected as an index to describe the abundance of landscape. Four kinds of different extents were chosen to calculate the indices, such as 125 m, 250 m, 500 m and 1000 m. All those calculations were performed with Fortran programs under moving square windows of corresponding extents. The moving windows were sampled along the transects from west to east and from north to south with the step of a moving window size. Based on the calculation of diversity index, coefficients Moran I and Geary C and function of semi-variance were counted at different extents for correlativity of landscape diversity of urban land cover. Then, the two transects were partitioned by equal distance of the small width of the transects, 8000 m. A series of sample units with equal area were formed along the two transects. Scale variances were figured out for each unit based on the indices of landscape diversity. It was carried out at four extents. The scale variance of each transect was an average of all units in the same transect. The results revealed that there was a positively spatial autocorrelation between landscape diversities under different extents and the two transects had different spatial heterogeneities of landscape. Besides internal factors, variances of spatial structure of land cover in the two transects were affected by human activities directly. Different rates of factors formed different spatial heterogeneities of landscape of urban land cover. The semi-variance curve of diversity index was not different obviously with the increasing extents at N/S transect, but it was obvious at W/E transect. The rate of Co/(Co+C) increased monotonously, indicating that the impact of stochastic factors on landscape diversity increased with the increase of research extent. The scale variance of landscape of land cover in the moving windows along the two transects under different extents decreased with the increase of scales, and all scale variances went to be almost similar at a large extent of 1000 m. The values of scale variances were obviously relative to spatially geometrical shape. The scale variance of landscape was bigger when spatial shape of sample units was a rectangle in contrast to the shape of a square. The spatial heterogeneity of landscape in the two transects was not only relative to the direction of transect, but also relative to the extent. The scale variance did not monotonously change from small extent to large extent, such as extents of 125 m and 250 m, the change of scale variance decreased with the increase of extent. Analysis of scale variance showed that there was a multi-scale hierachical structure of land cover, but it was different between the N/S and W/E transects. The heterogeneity was higher in the W/E transect than in the N/S transect. In a word, the scale variance and function of semi-variance are appropriate methods to study spatial heterogeneity and hierachical structure of landscape of urban land cover with changes in scale and extent.

Key concepts: Transect, Belt transect, Physical geography, Land cover, Scale (ratio), Geography, Diversity index, Spatial ecology

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