Spatial Response Analysis of Land use in National Development Zones based on Pattern and Process - taking Fuzhou new District as an Example

Kun Jiang1, Wenyuan Dai123*, Qiufeng Hu1, Kang Huang1, Hui Ou1

1School of Geographical Science, Fujian Normal University, Fuzhou, 350007, China

2Ministry of Education’s Key Laboratory of Wet Subtropical Ecological Geography Process, Fujian Normal University, Fuzhou, 350007, China

3Institute of Geography, Fujian Normal University, Fuzhou, 350007, China

Abstract: This paper analyzes the landsat remote sensing image of Fuzhou New District in 2000, 2009 and 2015. Based on AraGIS10.2 and fragstats software, it uses multi-distance spatial clustering, land use transfer matrix and moving window method to analyse the evolution characteristics and spatial response process of the landscape pattern in Fuzhou New District from 2000 to 2015. The results show that: (1) In the 15 years, the land use types of Fuzhou New District have undergone great changes, and various types of land are fre-quently converted with each other. The area of residential land, industrial, mining and traffic land has been increasing, and the area of other land types has been decreasing. (2) Cultivated land, residential land, forest land and water area are the main land use types in Fuzhou New Area. The scale of the cultivated land and water area has been increasing, and the scale of residential land has been decreasing. (3) The degree of landscape fragmentation in Fuzhou New District has been increasing continuously during the 15 years. The connectivity between the plaques becomes weak, and the internal shape of the plaques tend to be complicated. The spatial and temporal evolution characteristics of landscape diversity and contagion index are generally consistent. High-value areas are mainly distributed in urban construction, port terminal construction and airport construction; low-value areas are mainly distributed in areas where the landscape type is relatively single, such as forest land, water area and agricultural land.

Keywords: Pattern and process; Multi-distance spatial clustering; Moving window method; Spatial response; Fuzhou New Area