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Chinese Journal of Applied Ecology ›› 2010, Vol. 21 ›› Issue (2): 272-278.

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Point pattern analysis of different age-class Taxus chinensis var. mairei individuals in moun-tainous area of southern Anhui Province.

WANG Lei1;SUN Qi-wu2;HAO Chao-yun1;TIAN Sheng-ni3;ZHANG Shan-shan1;CHEN Yi-kun1;ZHANG Xiao-ping1   

  1. 1Anhui Province Higher Ed-ucation Key Laboratory of Biotic Environment and Ecological Safety/Anhui Province Key Laboratory of Conservation and Employment of Biological Resources, Anhui Normal University, Wuhu 241000, Anhui, China|2Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China|3College of Life Science, Anhui Agricultural University, Hefei 230036, China
  • Online:2010-02-20 Published:2010-02-20

Abstract: By using O-ring statistics in point pattern analysis and Programita software, this paper studied the spatial distribution patterns and associations of different age-class individuals of Taxus chinensis var. mairei populations at Xianyu and Xiaxiang in the mountainous area of southern Anhui Province. The Xianyu population had a random spatial distribution at the scales from 2 m to 25 m but a clumped distribution at the scales <2 m, while the Xiaxiang population distributed randomly at all the scales. As for Xianyu population, its individuals of age-class I had a clumped distribution at the scales <5 m, while the individuals of elder age-classes tended to be non-randomly distributed at more scales than <5 m, which might be related to the features of population regeneration. With increasingly enlarged age-class differences, the spatial association between younger and elder age-classes individuals turned to be negative, but less spatial association was observed between adjacent age-classes individuals. Such a spatial relationship between different age-classes individuals of T. chinensis was beneficial to the effective use of resources. With the grow th of the individuals, T. chinensis population had a transition from clumped to random distribution.

Key words: Taxus chinensis var. mairei population, Programita software, point pattern analysis, spatial association, biological soil crusts, drought process, nitrate nitrogen, net nitrification rate.