Chin J Plant Ecol ›› 2017, Vol. 41 ›› Issue (5): 539-548.DOI: 10.17521/cjpe.2016.0285
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Dao-Xin LI1, Guo LI2, Ze-Hao SHEN3,*(), Shen-Dong XU1, Qing-Yu HAN1, Gong-Fang WANG1, Feng-Lei TIAN1
Online:
2017-05-10
Published:
2017-06-22
Contact:
Ze-Hao SHEN
About author:
KANG Jing-yao(1991-), E-mail: Dao-Xin LI, Guo LI, Ze-Hao SHEN, Shen-Dong XU, Qing-Yu HAN, Gong-Fang WANG, Feng-Lei TIAN. Growth-form regulates the altitudinal variation of interspecific seed mass of woody plants in Mt. Dalaoling, the Three Gorges Region, China[J]. Chin J Plant Ecol, 2017, 41(5): 539-548.
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Fig. 1 The frequency distribution of seed mass (A), seed length (B) and thickness (C), and a comparison between the curves of empirical cumulative frequency distribution (ECFD) and cumulative density function (CDF) of normal distribution, for log10-transformed seed mass, seed length and seed thickness (D, E, F).
Fig. 2 The correlation between seed mass (mg, log10-transformed) and the length and thickness (mm, both log10-transformed) (A), and the correlation between the length and thickness (B) of seeds.
Fig. 3 Seed mass (log10-transformed) of different growth forms (A) and leaf types (B). a, and b indicate significantly different levels with p < 0.05.
Fig. 4 Altitudinal patterns of seed mass (log10-transformed) of different growth-forms of plant species. A, All species. B, Evergreen-broadleaved species. C, Deciduous-broadleaved species. D, Coniferous species. E, Tree. F, Small tree. G, Shrub. H, Liana.
模型 Model | 自变量 Independent variables | 自由度 d.f. | R2 | F | p |
---|---|---|---|---|---|
M1 | Elevation, Leaf, GF | 194 | 0.186 | 8.543 | <0.001 |
M2 | Elevation, Leaf, GF, Leaf : GF | 191 | 0.192 | 6.218 | <0.001 |
M3 | Elevation, Leaf, GF, Elevation : GF | 191 | 0.198 | 6.414 | <0.001 |
M4 | Elevation, Leaf, GF, Elevation : Leaf | 192 | 0.216 | 7.815 | <0.001 |
Table 1 Comparison of linear regression models for seed mass (log10-transformed)
模型 Model | 自变量 Independent variables | 自由度 d.f. | R2 | F | p |
---|---|---|---|---|---|
M1 | Elevation, Leaf, GF | 194 | 0.186 | 8.543 | <0.001 |
M2 | Elevation, Leaf, GF, Leaf : GF | 191 | 0.192 | 6.218 | <0.001 |
M3 | Elevation, Leaf, GF, Elevation : GF | 191 | 0.198 | 6.414 | <0.001 |
M4 | Elevation, Leaf, GF, Elevation : Leaf | 192 | 0.216 | 7.815 | <0.001 |
变量 Variables | 系数 Coefficients | 标准误差 SE | t | p |
---|---|---|---|---|
截距 Intercept | -2.995 8 | 2.096 4 | -1.429 | 0.155 |
海拔 Elevation | 0.003 0 | 0.001 5 | 2.024 | 0.054 |
叶-落叶阔叶 Leaf-DB | 4.956 2 | 2.213 7 | 2.239 | <0.050 |
叶-常绿阔叶 Leaf-EB | 7.901 1 | 2.270 5 | 3.480 | <0.001 |
生长型-乔木 GF-Tree | 2.032 4 | 0.340 8 | 5.963 | <0.001 |
生长型-藤本 GF-Liana | 0.011 4 | 0.614 0 | 0.019 | 0.985 |
生长型-小乔 GF-Small tree | 1.552 6 | 0.388 5 | 3.997 | <0.001 |
海拔 : 落叶阔叶 Elevation : DB | -0.003 3 | 0.001 6 | -2.047 | <0.050 |
海拔 : 常绿阔叶 Elevation : EB | -0.005 0 | 0.001 7 | -2.982 | <0.010 |
Table 2 Parameter estimate for the optimal regression model (M4)
变量 Variables | 系数 Coefficients | 标准误差 SE | t | p |
---|---|---|---|---|
截距 Intercept | -2.995 8 | 2.096 4 | -1.429 | 0.155 |
海拔 Elevation | 0.003 0 | 0.001 5 | 2.024 | 0.054 |
叶-落叶阔叶 Leaf-DB | 4.956 2 | 2.213 7 | 2.239 | <0.050 |
叶-常绿阔叶 Leaf-EB | 7.901 1 | 2.270 5 | 3.480 | <0.001 |
生长型-乔木 GF-Tree | 2.032 4 | 0.340 8 | 5.963 | <0.001 |
生长型-藤本 GF-Liana | 0.011 4 | 0.614 0 | 0.019 | 0.985 |
生长型-小乔 GF-Small tree | 1.552 6 | 0.388 5 | 3.997 | <0.001 |
海拔 : 落叶阔叶 Elevation : DB | -0.003 3 | 0.001 6 | -2.047 | <0.050 |
海拔 : 常绿阔叶 Elevation : EB | -0.005 0 | 0.001 7 | -2.982 | <0.010 |
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