欢迎访问《植物研究》杂志官方网站,今天是 分享到:

植物研究 ›› 1997, Vol. 17 ›› Issue (4): 452-454.

• 论文 • 上一篇    

THE VERTICAL BELTS OF NATURAL VEGETATION PARTITIONING OF THE GUANDI MOUNTAINS BY USING ORDERED PLOT CLUSTERING,SHANXI,NORTH CHINA

Feng Zhang1, Tieliang Shang-guan1, Anders Telenius2   

  1. 1. Department of Life Science, Shanxi University, Taiyuan 030006, P. R. China;
    2. Department of Botany, University of Stockholm, S-106 91 Stockholm, Sweden
  • 收稿日期:1996-12-01 出版日期:1997-12-15 发布日期:2016-06-14

THE VERTICAL BELTS OF NATURAL VEGETATION PARTITIONING OF THE GUANDI MOUNTAINS BY USING ORDERED PLOT CLUSTERING,SHANXI,NORTH CHINA

Feng Zhang1, Tieliang Shang-guan1, Anders Telenius2   

  1. 1. Department of Life Science, Shanxi University, Taiyuan 030006, P. R. China;
    2. Department of Botany, University of Stockholm, S-106 91 Stockholm, Sweden
  • Received:1996-12-01 Online:1997-12-15 Published:2016-06-14

摘要: In this paper,ordered plot clustering (OPC),a non-hierarchical agglomerative algorithm based on the algorithm of the "gold-partitioning method" (Fisher's method),is introduced to vertical belt partition of Guandi Mountains,Shanxi.The result of the vertical belt partitioning is as follows:1.deciduous broadleave forest belt (800-1600m above sea level),including 2 subbelts:I.temperate coniferous forest subbelt (800-1400m above sea level),and Ⅱ.deciduous broadleave forest subbelt (1400-1600m above sea level);2.coniferous and broadleave mixed-forest belt (1600-1750m above sea level);3.cold-temperate coniferous forest belt (1750-2600m above sea level);4.subalpine shrub and meadow belt (2600-2831m above sea level).The results obtained by OPC analysis are then compared to TWINSPAN using data on the floristic composition of vertical belts of the Guandi Mountains,Shanxi,North China.The result of analysis by OPC is considered as superior to that by TWINSPAN because some TWINSPAN plot groups cannot be explained according to existing vegetation distribution,contrary to the OPC result.

关键词: Ordered plot clustering, TWINSPAN, Non-hierarchical agglomerative algorithm, Vertical belt of natural vegetation, Gold partitioning method, Guandi Mountains, Shanxi

Abstract: In this paper, ordered plot clustering (OPC), a non-hierarchical agglomerative algorithm based on the algorithm of the "gold-partitioning method" (Fisher's method), is introduced to vertical belt partition of Guandi Mountains, Shanxi.The result of the vertical belt partitioning is as follows:1.deciduous broadleave forest belt (800-1600m above sea level), including 2 subbelts:I.temperate coniferous forest subbelt (800-1400m above sea level), and Ⅱ.deciduous broadleave forest subbelt (1400-1600m above sea level);2.coniferous and broadleave mixed-forest belt (1600-1750m above sea level);3.cold-temperate coniferous forest belt (1750-2600m above sea level);4.subalpine shrub and meadow belt (2600-2831m above sea level).The results obtained by OPC analysis are then compared to TWINSPAN using data on the floristic composition of vertical belts of the Guandi Mountains, Shanxi, North China.The result of analysis by OPC is considered as superior to that by TWINSPAN because some TWINSPAN plot groups cannot be explained according to existing vegetation distribution, contrary to the OPC result.

Key words: Ordered plot clustering, TWINSPAN, Non-hierarchical agglomerative algorithm, Vertical belt of natural vegetation, Gold partitioning method, Guandi Mountains, Shanxi