Biodiv Sci ›› 2011, Vol. 19 ›› Issue (5): 558-566. DOI: 10.3724/SP.J.1003.2011.09309
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Wenxing Long1,2, Runguo Zang2,*(), Yi Ding2
Received:
2010-12-14
Accepted:
2011-05-18
Online:
2011-09-20
Published:
2011-10-08
Contact:
Runguo Zang
Wenxing Long, Runguo Zang, Yi Ding. Community characteristics of tropical montane evergreen forest and tropical montane dwarf forest in Bawangling National Nature Reserve on Hainan Island, South China[J]. Biodiv Sci, 2011, 19(5): 558-566.
Fig. 1 Beanplots showing comparison in mean density for saplings, small trees, adult trees and all individuals between tropical montane evergreen forest (TMEF) and tropical montane dwarf forest (TMDF). Different letters (a, b) indicate significant difference at P < 0.05.
Fig. 2 Boxplots showing comparison in mean diameter at breast height for saplings, small trees, adult trees and all individuals between tropical montane evergreen forest (TMEF) and tropical montane dwarf forest (TMDF). Different letters (a, b) indicate significant difference at P < 0.05.
Fig. 3 Boxplots showing comparison in mean plant height for saplings, small trees, adult trees and all individuals between tropical montane evergreen forest (TMEF) and tropical montane dwarf forest (TMDF). Different letters (a, b) indicate significant difference at P < 0.05.
Fig. 4 Diagram showing species-cumulative number of plot relation curve for tropical montane evergreen forest (TMEF) and tropical montane dwarf forest (TMDF). The area of each plot is 25 m2.
模型 Models | 参数 Parameters | 热带山地常绿林 Tropical montane evergreen forest | 热带山顶矮林 Tropical montane dwarf forest | ||||
---|---|---|---|---|---|---|---|
TMEF11 | TMEF21 | TMDF11 | TMDF21 | TMDF31 | |||
幂律模型 Power-law model S=cAz | c | 17.07 | 20.65 | 29.12 | 26.61 | 20.59 | |
z | 0.36 | 0.34 | 0.23 | 0.27 | 0.29 | ||
RSE | 2.87 | 2.44 | 2.72 | 2.16 | 1.89 | ||
AIC | 498.43 | 466.26 | 487.73 | 442.05 | 414.56 | ||
指数模型 Exponential model S=c + zlnA | c | -4.52 | -3.13 | 16.24 | 10.55 | 5.55 | |
z | 19.76 | 21.47 | 14.53 | 17.12 | 15.21 | ||
RSE | 1.14 | 2.03 | 0.86 | 0.53 | 0.73 | ||
AIC | 313.63 | 429.36 | 257.54 | 163.02 | 225.28 | ||
逻辑斯蒂模型 Logistic model | c | 0.07 | 0.09 | 0.21 | 0.16 | 0.14 | |
b | 14.43 | 13.30 | 20.41 | 20.71 | 15.13 | ||
z | 0.51 | 0.67 | 0.68 | 0.58 | 0.61 | ||
RSE | 0.51 | 0.24 | 0.35 | 0.53 | 0.45 | ||
AIC | 152.88 | 4.97 | 78.68 | 160.23 | 131.08 |
Table 1 Comparison in species-cumulative number of plot relation models between tropical montane evergreen forest and tropical montane dwarf forest
模型 Models | 参数 Parameters | 热带山地常绿林 Tropical montane evergreen forest | 热带山顶矮林 Tropical montane dwarf forest | ||||
---|---|---|---|---|---|---|---|
TMEF11 | TMEF21 | TMDF11 | TMDF21 | TMDF31 | |||
幂律模型 Power-law model S=cAz | c | 17.07 | 20.65 | 29.12 | 26.61 | 20.59 | |
z | 0.36 | 0.34 | 0.23 | 0.27 | 0.29 | ||
RSE | 2.87 | 2.44 | 2.72 | 2.16 | 1.89 | ||
AIC | 498.43 | 466.26 | 487.73 | 442.05 | 414.56 | ||
指数模型 Exponential model S=c + zlnA | c | -4.52 | -3.13 | 16.24 | 10.55 | 5.55 | |
z | 19.76 | 21.47 | 14.53 | 17.12 | 15.21 | ||
RSE | 1.14 | 2.03 | 0.86 | 0.53 | 0.73 | ||
AIC | 313.63 | 429.36 | 257.54 | 163.02 | 225.28 | ||
逻辑斯蒂模型 Logistic model | c | 0.07 | 0.09 | 0.21 | 0.16 | 0.14 | |
b | 14.43 | 13.30 | 20.41 | 20.71 | 15.13 | ||
z | 0.51 | 0.67 | 0.68 | 0.58 | 0.61 | ||
RSE | 0.51 | 0.24 | 0.35 | 0.53 | 0.45 | ||
AIC | 152.88 | 4.97 | 78.68 | 160.23 | 131.08 |
多样性 Diversity | 热带山地常绿林 Tropical montane evergreen forest | 热带山顶矮林 Tropical montane dwarf forest | W | P |
---|---|---|---|---|
多度 Abundance | 1,854.9±208.5 | 2,618.8±163.3 | 70.0 | <0.001 |
丰富度观测值 Observed richness | 89.1±5.5 | 81.2±9.7 | 15.5 | 0.045 |
Jack1指数 | 112.5±9.0 | 95.7±10.9 | 8.0 | 0.001 |
Jack2指数 | 125.7±13.9 | 102.4±11.5 | 5.0 | 0.002 |
Bootstrap指数 | 99.5±6.7 | 87.8±10.3 | 11.0 | 0.02 |
Table 2 Comparison in individual abundance and species richness between tropical montane evergreen forest and tropical montane dwarf forest
多样性 Diversity | 热带山地常绿林 Tropical montane evergreen forest | 热带山顶矮林 Tropical montane dwarf forest | W | P |
---|---|---|---|---|
多度 Abundance | 1,854.9±208.5 | 2,618.8±163.3 | 70.0 | <0.001 |
丰富度观测值 Observed richness | 89.1±5.5 | 81.2±9.7 | 15.5 | 0.045 |
Jack1指数 | 112.5±9.0 | 95.7±10.9 | 8.0 | 0.001 |
Jack2指数 | 125.7±13.9 | 102.4±11.5 | 5.0 | 0.002 |
Bootstrap指数 | 99.5±6.7 | 87.8±10.3 | 11.0 | 0.02 |
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