Distribution and bioavailability of trace elements in livestock and poultry manure by-products. The spatial distribution of badgers, setts and latrines: The risk for intra-specific and badger-livestock disease transmission. Geographical Analysis, 27(2): 93–115.īohm M, Palphramand K L, Newton-Cross G et al., 2008. Local indicators of spatial association: LISA. Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications. 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.Īldstadt J, 2010. It is also found that there exists a clear demarcation line between the concentrated and the sparse regions. As a result, the China’s livestock and poultry breeding would be classified into eight types: extremely sparse region, sparse region, relatively sparse region, normally sparse region, normal region, relatively concentrated region, concentrated region and highly concentrated region. The districting analysis for the three indicators shows that there exists a potential uniform districting scheme for China’s livestock and poultry breeding. For districting purpose, each interval between gravity centers of near levels for all the three indicators is calculated, and the districting types of each indicator are obtained by merging adjacent levels. The indicators are classified into 16 levels, and the GCCs for the three indicators from level 1 to 16 are discussed in detail. Furthermore, the thematic map series (TMS) and related gravity centers curve (GCC) are introduced to explore the spatial patterns of livestock and poultry in China. However, PCLP is clustering locally but not significant globally. The Moran’s I and LISA analysis shows that ESP and PCP are significantly clustering both globally and locally. With the help of spatial data analysis (ESDA) 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.

Using statistical yearbook and agricultural survey in 2007, the county-level populations of livestock and poultry are estimated as equivalent standardized pig index (ESP), per cultivated land pig index (PCLP) and per capita pig index (PCP). This paper aims to investigate the spatial patterns of livestock and poultry breeding in China. Livestock emissions and pollution is closely associated with its population and spatial distribution. The capacity of livestock breeding in China has increased rapidly since 1949, and the total output of meat, poultry and eggs maintains the world’s top first in recent 20 years.

Pclp scholar