Research on Land Use Ecological Security Pattern Construction of Hilly Cities in Hunan

Author:

Zhai Duanqiang,Xia Huiwen

Abstract

Abstract The Landsat satellite image of Liuyang City was selected in June 2018, and the land use landscape type map was generated based on RS and GIS technology. The landscape index was calculated by the FRAGSTATS to analyse the landscape pattern of urban land use in Hunan hilly areas, and the minimum cumulative distance model was used to construct the urban ecological pattern. The results showed that: ①The most dominant landscape types in the city area were forest lands with high degree of aggregation and cluster distribution. The fragmentation of landscape types in urban areas was obvious, especially the grassland fragmentation. ②There are few landscape types in the city area, and there are obvious dominant landscapes. ③The article builds an ecological security pattern by searching for ecological sources, corridors and nodes, and guarantees the ecological security of hilly urban cities.

Publisher

IOP Publishing

Subject

General Engineering

Reference10 articles.

1. Evolution of nature and social science interactions in global change research programs;Mooney;Proceedings of the National Academy of Sciences of the United States of America,2013

2. Modeling the optimal ecological security pattern for guiding the urban constructed land expansions;Su;Urban Forestry & Urban Greening,2016

3. Urban landscape pattern design from the viewpoint of networks: a case study of Changzhou city in Southeast China;Chang;Ecological Complexity,2011

4. Land use change modeling and the effect of compact city paradigms: integration of GIS-based cellular automata and weights-of-evidence techniques;Saleh;Environmental Earth Sciences,2018

5. Study on the Potential Development of Rainwater Utilization in the Hilly City of Southern China;Fu;IOP Conference Series: Earth and Environmental Science,2017

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