Chin J Plant Ecol ›› 2022, Vol. 46 ›› Issue (9): 1005-1017.DOI: 10.17521/cjpe.2022.0094
Special Issue: 青藏高原植物生态学:植被生态学; 青藏高原植物生态学:数据论文; 植被生态学
• Research Articles • Previous Articles Next Articles
FAN Fan1,2, ZHAO Lian-Jun3, MA Tian-Yi1, XIONG Xin-Yu2,4, ZHANG Yuan-Bin5, SHEN Xiao-Li6,*(), LI Sheng1,2,*()
Received:
2022-03-15
Accepted:
2022-05-31
Online:
2022-09-20
Published:
2022-10-19
Contact:
SHEN Xiao-Li,LI Sheng
FAN Fan, ZHAO Lian-Jun, MA Tian-Yi, XIONG Xin-Yu, ZHANG Yuan-Bin, SHEN Xiao-Li, LI Sheng. Community composition and structure in a 25.2 hm2 subalpine dark coniferous forest dynamics plot in Wanglang, Sichuan, China[J]. Chin J Plant Ecol, 2022, 46(9): 1005-1017.
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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2022.0094
Fig. 1 Location of Wanglang plot. AM, alpine meadow; BR, bare rock; CBF, conifer broad-leaved mixed forest; CF, conifer forest; DF, deciduous broad-leaved forest; ND, no data; SL, shrubland.
Fig. 2 Altitude (A) and distribution of all tagged individual woody plants (B) in Wanglang plot. Blank values in A are due to the inaccessibility caused by the dense bamboo understory during the backpack radar scanning. Each dot represents an individual tagged woody plant in B.
Table 1 Comparison of the major characteristics of Wanglang 25.2hm2 forest dynamics plot with seven other plots of different latitudes and vegetation types
Fig. 3 Species accumulation curve of woody plants in Wanglang plot (20 m × 20 m quadrat number = 630)。Grey shadow areas represent the 95% confidence intervals.
Fig. 4 Diameter at breast height (DBH) distributions of all tagged woody plants, coniferous trees, deciduous trees, and shrubs and vines in Wanglang plot.
Fig. 6 Spatial distributions and the results of point pattern analysis of the five dominant woody species in Wanglang plot. A1-E1, Spatial distributions of individual woody plants. A2-E2, Results of G-function analysis compared with complete spatial random distribution model. gobs(r), observed value; gtheo(r), theoretical values from simulated null model; grey area is 95% confidence interval.
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