Acta Geographica Sinica ›› 2012, Vol. 67 ›› Issue (10): 1383-1398.doi: 10.11821/xb201210009

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Spatial Patterns and Gravity Centers Curve of Livestock and Poultry Breeding in China

FU Qiang1,2,3, ZHU Yunqiang2, SUN Jiulin1,2, KONG Yunfeng1,3   

  1. 1. College of Environment and Planning, Henan University, Kaifeng 475001, Henan, China;
    2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    3. Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475001, Henan, China
  • Received:2012-01-20 Revised:2012-05-22 Online:2012-10-20 Published:2012-10-20
  • Supported by:

    Key Program of Special Science Research in Environmental Protection Public Welfare Industry, No.201009017; Research Plan of LREIS, No. 088RA900KA

Abstract: This paper aims to examine the spatial distribution patterns of livestock and poultry breeding in China. Using statistical data from Chinese yearbooks and agricultural survey in 2007, the county-level populations of livestock and poultry are estimated in terms of equivalent standardized pig index, per cultivated land pig index and per capita pig index. With the help of spatial data analysis tools in Geoda and ArcGIS software, especially the Moran's I and LISA statistics, the nationwide global and local clustering trends of the three indicators are examined respectively. The Moran's I and LISA analysis shows that ESP and PCP are significantly clustering both globally and locally. However, the per cultivated land pig index is clustering locally but not significant globally. Furthermore, the thematic map series and related gravity centers curve are introduced to explore the spatial patterns of livestock and poultry in China. Based on 1-16 levels of the thematic map design, the centers curve for each indicator are discussed in detail. For districting purpose, each level of the three indicators is adjusted by the intervals between gravity centers of near levels, and the level is classified into one of district types. The districting analysis for three indicators shows that there exists a potential uniform districting scheme for China's livestock and poultry breeding (eight districts in China). As a result, the China's livestock and poultry breeding would be classified into eight districts: extremely sparse area, sparse area, relatively sparse area, normally sparse area, normal area, relatively concentrated area, concentrated area and highly concentrated area. It is also found that there exists a clear demarcation line between the concentrated and the sparse regions of livestock and poultry breeding in China. The line starts from the county boundary between Xin Barag Left Banner and Xin Barag Right Banner, Inner Mongolia Autonomous Region to the west coast of Dongfang County, Hainan Province.

Key words: livestock and poultry breeding, spatial autocorrelation, gravity centers curve, spatial patterns, demarcation line, the thematic map series, China