Journal of Ecology and Rural Environment ›› 2016, Vol. 32 ›› Issue (3): 466-472.doi: 10.11934/j.issn.1673-4831.2016.03.020

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Spatio-Temporal Evolution of Livestock Manure Nutrient Load in Farmland on a County Scale: A Case Study of Anhui Province.

YAN Bo-jie, PAN Yu-chun, YAN Jing-jie   

  1. Department of Geography, Minjiang University, Fuzhou 350108, China
  • Received:2015-05-02 Online:2016-05-25 Published:2016-05-27


Nutrient load from livestock manure in farmlands feature apparent spatio-temporal variation. The study on effects of regional characteristics and distribution of the load means significantly to the study on environmental pollution caused by livestock breeding and sustainable development of livestock breeding. Based on the county-leveled 2004-2012 statistics of livestock breeding and area of farmlands in Anhui Province, spatial autocorrelation analysis was performed to explore spatial pattern and spatial evolution of N load from livestock manure in the farmland on the county scale in Anhui. Results show that nitrogen load from livestock manure in the farmland varied spatially and temporally with the county in the period of 2004-2012. The Global Moran's I index (0.24-0.37) shows that the nitrogen load had a significant positive relationship with space and potential dependence on space, which indicates that the nitrogen load had been in the development stage of relative agglomeration. The Getis-Ord Gi* index also shows that the hotspots of nitrogen load were mainly distributed in northern and southeast parts of Anhui Province, especially Jixi County in Xuanzhou City, which was always a hotspot region during the period. In addition, the counties including Shexian, Xiaoxian, Jingde, Dangshan and Lixin were several times sorted as hotspot regions. The findings of this study may serve as scientific basis for researches on decision-making on livestock manure disposal and environmental pollution control, and regional total amount control of livestock feeding.

Key words: nitrogen load, spatial pattern, spatial evolution, spatial autocorrelation analysis

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