Landscape pattern analysis based on optimal grain size in the core of the Zhengzhou and Kaifeng Integration Area

• Autorzy: Qindong F. , Zongzheng L. , Liuke L. , Shengyan D. , Xiaoping Z.
• Języki publikacji: EN

Abstrakty

EN

Landscape pattern analysis is a popular topic in global change research, and appropriate grain size is the basis for accurate landscape pattern analyses. In this study, methods based on landscape metrics and spatial autocorrelation are used to determine the optimal grain size of the study area. Based on a grain size of 20 m, the landscape pattern of the core of the Zhengzhou and Kaifeng integration area was analyzed at class and landscape levels from 2005-15. The results show that over the study period, the landscape fragmentation of the study area increased by approximately 32.38%, the distribution of landscape types was homogenized gradually, and human impact was the main reason for the changes in landscape pattern. Additionally, cultivated land was the predominant landscape type, and the area percentage of cultivated land decreased from 79.01% to 60.01%. The patch number and total area of forests increased, the percentage of construction land increased by approximately 1.5 times, and the area and patch number of unused land gradually decreased. This research provides useful information for land use policy-making.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2018
• Tom: 27
• Numer: 3
• Opis fizyczny: p.1229-1237,fig.,ref.

Twórcy

autor

Qindong F.

• College of Environment and Planning, Henan University, Kaifeng City 475004, P.R. China
• Collaborative Innovation Center, Luoyang Normal University, Luoyang City 471934, P.R. China
• College of Architecture, North China of University of Water Resources and Electric Power, Zhengzhou 460046, P.R. China

autor

Zongzheng L.

• Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, China

autor

Liuke L.

• College of Environment and Planning, Henan University, Kaifeng City 475004, P.R. China
• Collaborative Innovation Center, Luoyang Normal University, Luoyang City 471934, P.R. China

autor

Shengyan D.

• College of Environment and Planning, Henan University, Kaifeng City 475004, P.R. China

autor

Xiaoping Z.

• Collaborative Innovation Center, Luoyang Normal University, Luoyang City 471934, P.R. China

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Identyfikatory

DOI

10.15244/pjoes/76913