Chin J Plant Ecol ›› 2007, Vol. 31 ›› Issue (5): 814-824.DOI: 10.17521/cjpe.2007.0103
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HU Zhi-Wei1, SHEN Ze-Hao1,*(), LÜ Nan1, ZHAO Jun1, LI Dao-Xing2, CHEN Hua3, WANG Gong-Fang2
Received:
2006-05-25
Accepted:
2006-12-08
Online:
2007-05-25
Published:
2007-09-30
Contact:
SHEN Ze-Hao
HU Zhi-Wei, SHEN Ze-Hao, LÜ Nan, ZHAO Jun, LI Dao-Xing, CHEN Hua, WANG Gong-Fang. IMPACTS OF TOPOGRAPHY ON THE SPATIAL PATTERN OF THE AGE OF FOREST COMMUNITY[J]. Chin J Plant Ecol, 2007, 31(5): 814-824.
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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2007.0103
因子 Factor | 定义 Definition | 值域 Value range | |||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
海拔 Elevation (elev) | 利用等高线图插值 Interpolation from contour | 1 652~1 745 m | |||||||||||||||||||||
坡度 Slope angle (slop) | 根据ArcGIS9.0中Spatial analysis模块的定义 | 5°~ 49° | |||||||||||||||||||||
水平曲率 Plan curvature (plan) | According to the algorithms in the spatial analysis module of ArcGIS9.0 | -14.43~18.05 | |||||||||||||||||||||
垂直曲率 Profile curvature (prof) | -12.02~12.17 | ||||||||||||||||||||||
坡向 Slope aspect (aspe) | 根据ArcGIS9.0和Parker ( | 0°~ 180° | |||||||||||||||||||||
坡位 Slope position (posi) | 0~100 | ||||||||||||||||||||||
溪流影响 Stream impact (si) | si=2: 有溪流经过 Passed by stream; si=1: 相邻8个栅格中至少1个有溪流经过 With at least one of 8 neighbors passed by stream; si=0: 其它 Others | 0, 1, 2 |
Table 1 Definitions of topographic indices of the plots
因子 Factor | 定义 Definition | 值域 Value range | |||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
海拔 Elevation (elev) | 利用等高线图插值 Interpolation from contour | 1 652~1 745 m | |||||||||||||||||||||
坡度 Slope angle (slop) | 根据ArcGIS9.0中Spatial analysis模块的定义 | 5°~ 49° | |||||||||||||||||||||
水平曲率 Plan curvature (plan) | According to the algorithms in the spatial analysis module of ArcGIS9.0 | -14.43~18.05 | |||||||||||||||||||||
垂直曲率 Profile curvature (prof) | -12.02~12.17 | ||||||||||||||||||||||
坡向 Slope aspect (aspe) | 根据ArcGIS9.0和Parker ( | 0°~ 180° | |||||||||||||||||||||
坡位 Slope position (posi) | 0~100 | ||||||||||||||||||||||
溪流影响 Stream impact (si) | si=2: 有溪流经过 Passed by stream; si=1: 相邻8个栅格中至少1个有溪流经过 With at least one of 8 neighbors passed by stream; si=0: 其它 Others | 0, 1, 2 |
种名 Species name | 参数估计 Parameter estimation | t 检验 t-test | n-2 | 模型回归分析的F检验 F test for ANOVA of models | |||
---|---|---|---|---|---|---|---|
t | Sig. | F | Sig. | ||||
包石栎Lithocarpus cleistocarpus | α | 0.502 | 4.430 | 0.000 | 35 | 209.922 | 0.000 |
β | 0.918 | 14.489 | 0.000 | ||||
短柱柃 Eurya loquaiana | α | 0.602 | 3.504 | 0.004 | 19 | 86.229 | 0.000 |
β | 0.711 | 9.286 | 0.000 | ||||
灯台树Cornus controversa | α | 1.241 | 4.872 | 0.001 | 25 | 164.531 | 0.000 |
β | 0.764 | 15.418 | 0.000 | ||||
华中樱桃 Cerasus conradinae | α | 0.421 | 3.673 | 0.001 | 28 | 154.916 | 0.000 |
β | 1.017 | 11.712 | 0.000 | ||||
雷公鹅耳枥Carpinus fargesii | α | 0.436 | 6.466 | 0.000 | 32 | 487.684 | 0.000 |
β | 0.956 | 22.084 | 0.000 | ||||
亮叶桦 Betula luminifera | α | 1.004 | 4.681 | 0.010 | 20 | 73.860 | 0.000 |
β | 0.814 | 14.617 | 0.000 | ||||
亮叶水青冈 Fagus lucida | α | 0.533 | 3.769 | 0.001 | 29 | 151.011 | 0.000 |
β | 0.888 | 12.289 | 0.000 | ||||
米心水青冈 Fagus engleriana | α | 0.681 | 3.946 | 0.001 | 29 | 146.283 | 0.000 |
β | 0.818 | 12.095 | 0.000 | ||||
青栲 Cyclobalanopsis myrsinaefolia | α | 0.401 | 3.224 | 0.004 | 21 | 136.048 | 0.000 |
β | 0.976 | 11.664 | 0.000 | ||||
四照花Dendrobenthamia japonica var. chinensis | α | 0.564 | 3.787 | 0.001 | 27 | 128.606 | 0.000 |
β | 0.865 | 11.340 | 0.000 | ||||
锐齿槲栎 Quercus aliena var. acuteserrata | α | 0.523 | 4.593 | 0.000 | 44 | 220.279 | 0.000 |
β | 0.921 | 14.842 | 0.000 |
Table 2 The power models of age-diameter relationship for main tree species
种名 Species name | 参数估计 Parameter estimation | t 检验 t-test | n-2 | 模型回归分析的F检验 F test for ANOVA of models | |||
---|---|---|---|---|---|---|---|
t | Sig. | F | Sig. | ||||
包石栎Lithocarpus cleistocarpus | α | 0.502 | 4.430 | 0.000 | 35 | 209.922 | 0.000 |
β | 0.918 | 14.489 | 0.000 | ||||
短柱柃 Eurya loquaiana | α | 0.602 | 3.504 | 0.004 | 19 | 86.229 | 0.000 |
β | 0.711 | 9.286 | 0.000 | ||||
灯台树Cornus controversa | α | 1.241 | 4.872 | 0.001 | 25 | 164.531 | 0.000 |
β | 0.764 | 15.418 | 0.000 | ||||
华中樱桃 Cerasus conradinae | α | 0.421 | 3.673 | 0.001 | 28 | 154.916 | 0.000 |
β | 1.017 | 11.712 | 0.000 | ||||
雷公鹅耳枥Carpinus fargesii | α | 0.436 | 6.466 | 0.000 | 32 | 487.684 | 0.000 |
β | 0.956 | 22.084 | 0.000 | ||||
亮叶桦 Betula luminifera | α | 1.004 | 4.681 | 0.010 | 20 | 73.860 | 0.000 |
β | 0.814 | 14.617 | 0.000 | ||||
亮叶水青冈 Fagus lucida | α | 0.533 | 3.769 | 0.001 | 29 | 151.011 | 0.000 |
β | 0.888 | 12.289 | 0.000 | ||||
米心水青冈 Fagus engleriana | α | 0.681 | 3.946 | 0.001 | 29 | 146.283 | 0.000 |
β | 0.818 | 12.095 | 0.000 | ||||
青栲 Cyclobalanopsis myrsinaefolia | α | 0.401 | 3.224 | 0.004 | 21 | 136.048 | 0.000 |
β | 0.976 | 11.664 | 0.000 | ||||
四照花Dendrobenthamia japonica var. chinensis | α | 0.564 | 3.787 | 0.001 | 27 | 128.606 | 0.000 |
β | 0.865 | 11.340 | 0.000 | ||||
锐齿槲栎 Quercus aliena var. acuteserrata | α | 0.523 | 4.593 | 0.000 | 44 | 220.279 | 0.000 |
β | 0.921 | 14.842 | 0.000 |
种名 Specie name | 频率 Frequency | 年龄范围 Age rang | 平均值±标准偏差 Mean±SD |
---|---|---|---|
米心水青冈 Fagus engleriana | 33 | 14~169 | 106.2±43.7 |
茅栗 Castanea seguinii | 33 | 43~163 | 104.4±23.1 |
锥栗 Castanea henryi | 30 | 72~145 | 95.0±16.2 |
锐齿槲栎 Quercus aliena var. acuteserrata | 21 | 88~179 | 117.0±26.4 |
三桠乌药 Lindera obtusiloba | 20 | 15~144 | 88.8±24.9 |
大叶杨 Populus lasiocarpa | 9 | 50~78 | 61.4±9.9 |
包石栎 Lithocarpus cleistocarpus | 9 | 30~66 | 53.2±10.0 |
亮叶桦 Betula luminifera | 6 | 70~134 | 98.4±28.0 |
石灰花楸 Sorbus folgneri | 5 | 80~173 | 114.5±36.3 |
雷公鹅耳枥 Carpinus fargesii | 5 | 27~78 | 60.3±20.6 |
青栲 Cyclobalanopsis myrsinaefolia | 5 | 12~72 | 50.5±24.3 |
亮叶水青冈 Fagus lucida | 3 | 91~122 | 111.5±11.7 |
灯台树 Cornus controversa | 3 | 53~119 | 95.5±36.6 |
漆树 Toxicodendron vernicifluum | 3 | 20~77 | 40.1±32.2 |
其它(10种) Others (10 species) | 1或(or)2 | 24~169 |
Table 3 Species demography of the oldest trees in the grids of the plot
种名 Specie name | 频率 Frequency | 年龄范围 Age rang | 平均值±标准偏差 Mean±SD |
---|---|---|---|
米心水青冈 Fagus engleriana | 33 | 14~169 | 106.2±43.7 |
茅栗 Castanea seguinii | 33 | 43~163 | 104.4±23.1 |
锥栗 Castanea henryi | 30 | 72~145 | 95.0±16.2 |
锐齿槲栎 Quercus aliena var. acuteserrata | 21 | 88~179 | 117.0±26.4 |
三桠乌药 Lindera obtusiloba | 20 | 15~144 | 88.8±24.9 |
大叶杨 Populus lasiocarpa | 9 | 50~78 | 61.4±9.9 |
包石栎 Lithocarpus cleistocarpus | 9 | 30~66 | 53.2±10.0 |
亮叶桦 Betula luminifera | 6 | 70~134 | 98.4±28.0 |
石灰花楸 Sorbus folgneri | 5 | 80~173 | 114.5±36.3 |
雷公鹅耳枥 Carpinus fargesii | 5 | 27~78 | 60.3±20.6 |
青栲 Cyclobalanopsis myrsinaefolia | 5 | 12~72 | 50.5±24.3 |
亮叶水青冈 Fagus lucida | 3 | 91~122 | 111.5±11.7 |
灯台树 Cornus controversa | 3 | 53~119 | 95.5±36.6 |
漆树 Toxicodendron vernicifluum | 3 | 20~77 | 40.1±32.2 |
其它(10种) Others (10 species) | 1或(or)2 | 24~169 |
参数 Coefficient | 估计 Estimation | 标准误 SE | t | p | ||||
---|---|---|---|---|---|---|---|---|
M1 | M2 | M1 | M2 | M1 | M2 | M1 | M2 | |
截距Intercept | 260.7 | 409.2 | 265.7 | 571.3 | 0.981 | 0.716 | 0.328 | 0.475 |
si | -126.5 | -12.88 | 4.719 | 4.938 | - 2.681 | - 2.609 | 0.008** | 0.0099** |
posi | 0.188 | 0.193 | 0.078 | 0.791 | 2.409 | 2.434 | 0.017* | 0.016* |
slop | 0.531 | 0.451 | 0.249 | 0.293 | 2.130 | 1.540 | 0.035* | 0.125 |
dba | -0.000 4 | -0.000 4 | 0.000 2 | 0.000 2 | -2.011 | -1.996 | 0.046* | 0.047* |
gri | 1.073 | 1.162 | 0.567 | 0.598 | 1.891 | 1.943 | 0.060* | 0.054* |
gar | -0.110 | -0.112 | 0.083 | 0.084 | -1.319 | -1.338 | 0.189 | 0.182 |
aspe | 0.861 | 0.087 | 0.083 | 0.090 | 1.041 | 0.961 | 0.299 | 0.338 |
prof | 134.2 | 148.2 | 531.9 | 535.2 | 0.252 | 0.277 | 0.801 | 0.782 |
plan | -129.9 | -143.6 | 531.3 | 534.6 | -0.244 | -0.269 | 0.807 | 0.789 |
elev | 0.265 | 0.336 | 0.790 | 0.430 | ||||
Y | 0.061 | 0.112 | 0.543 | 0.588 | ||||
X | -0.023 | 0.098 | -0.234 | 0.815 |
Table 4 Coefficients analysis and t-test of two multiple regression models
参数 Coefficient | 估计 Estimation | 标准误 SE | t | p | ||||
---|---|---|---|---|---|---|---|---|
M1 | M2 | M1 | M2 | M1 | M2 | M1 | M2 | |
截距Intercept | 260.7 | 409.2 | 265.7 | 571.3 | 0.981 | 0.716 | 0.328 | 0.475 |
si | -126.5 | -12.88 | 4.719 | 4.938 | - 2.681 | - 2.609 | 0.008** | 0.0099** |
posi | 0.188 | 0.193 | 0.078 | 0.791 | 2.409 | 2.434 | 0.017* | 0.016* |
slop | 0.531 | 0.451 | 0.249 | 0.293 | 2.130 | 1.540 | 0.035* | 0.125 |
dba | -0.000 4 | -0.000 4 | 0.000 2 | 0.000 2 | -2.011 | -1.996 | 0.046* | 0.047* |
gri | 1.073 | 1.162 | 0.567 | 0.598 | 1.891 | 1.943 | 0.060* | 0.054* |
gar | -0.110 | -0.112 | 0.083 | 0.084 | -1.319 | -1.338 | 0.189 | 0.182 |
aspe | 0.861 | 0.087 | 0.083 | 0.090 | 1.041 | 0.961 | 0.299 | 0.338 |
prof | 134.2 | 148.2 | 531.9 | 535.2 | 0.252 | 0.277 | 0.801 | 0.782 |
plan | -129.9 | -143.6 | 531.3 | 534.6 | -0.244 | -0.269 | 0.807 | 0.789 |
elev | 0.265 | 0.336 | 0.790 | 0.430 | ||||
Y | 0.061 | 0.112 | 0.543 | 0.588 | ||||
X | -0.023 | 0.098 | -0.234 | 0.815 |
模型Model | 残差Residual SE | 自由度df | 变量数No. of variables | R2 | F | p |
---|---|---|---|---|---|---|
1 | 32.07 | 181 | 10 | 0.160 8 | 3.136 | 0.000 57 |
2 | 32.22 | 178 | 13 | 0.162 2 | 2.651 | 0.002 05 |
Table 5 ANOVA and F test on two regression models
模型Model | 残差Residual SE | 自由度df | 变量数No. of variables | R2 | F | p |
---|---|---|---|---|---|---|
1 | 32.07 | 181 | 10 | 0.160 8 | 3.136 | 0.000 57 |
2 | 32.22 | 178 | 13 | 0.162 2 | 2.651 | 0.002 05 |
dba | gar | aspe | slop | posi | plan | prof | si | p |
---|---|---|---|---|---|---|---|---|
X | 0.030 | 0.193** | 0.372*** | -0.362*** | 0.162* | 0.024 | -0.054 | -0.191** |
Y | -0.005 | 0.024 | -0.006 | 0.265*** | -0.01 | -0.052 | 0.008 | 0.063 |
elev | -0.036 | 0.100 | 0.030 | -0.101 | 0.372*** | 0.151* | -0.202*** | -0.437*** |
gri | 0.058 | 0.035 | -0.093 | 0.120 | -0.025 | -0.041 | 0.061 | 0.090 |
dba | 0.115 | 0.135* | -0.063 | 0.040 | 0.045 | 0.018 | -0.033 | |
gar | 0.094 | -0.126* | -0.089 | -0.144* | 0.107 | 0.120* | ||
aspe | -0.464*** | -0.18* | -0.104 | 0.004 | 0.177* | |||
slop | 0.145* | 0.09 | 0.081 | -0.027 | ||||
posi | 0.619*** | -0.565*** | -0.644*** | |||||
plan | -0.616*** | -0.456*** | ||||||
prof | 0.418*** |
Table 6 The matrix of partial correlation coefficients between grid age and the interpretive variables after controlling the spatial factors (X, Y, elev)
dba | gar | aspe | slop | posi | plan | prof | si | p |
---|---|---|---|---|---|---|---|---|
X | 0.030 | 0.193** | 0.372*** | -0.362*** | 0.162* | 0.024 | -0.054 | -0.191** |
Y | -0.005 | 0.024 | -0.006 | 0.265*** | -0.01 | -0.052 | 0.008 | 0.063 |
elev | -0.036 | 0.100 | 0.030 | -0.101 | 0.372*** | 0.151* | -0.202*** | -0.437*** |
gri | 0.058 | 0.035 | -0.093 | 0.120 | -0.025 | -0.041 | 0.061 | 0.090 |
dba | 0.115 | 0.135* | -0.063 | 0.040 | 0.045 | 0.018 | -0.033 | |
gar | 0.094 | -0.126* | -0.089 | -0.144* | 0.107 | 0.120* | ||
aspe | -0.464*** | -0.18* | -0.104 | 0.004 | 0.177* | |||
slop | 0.145* | 0.09 | 0.081 | -0.027 | ||||
posi | 0.619*** | -0.565*** | -0.644*** | |||||
plan | -0.616*** | -0.456*** | ||||||
prof | 0.418*** |
参数 Coefficients | 估计 Estimation | 标准误 SE | t | p |
---|---|---|---|---|
截距Intercept | 172.2 | 302.6 | 0.569 | 0.570 |
gri | -5.251 | 0.646 | -8.129 | 6.77e-14*** |
slop | 0.699 | 0.284 | 2.462 | 0.015* |
posi | 0.207 | 0.089 | 2.332 | 0.021* |
si | -10.400 | 5.373 | -1.935 | 0.055 |
dba | -0.000 35 | 0.000 2 | -1.753 | 0.081 |
Table 7 Coefficients analysis and t-test of DBH-habitat factor regression model
参数 Coefficients | 估计 Estimation | 标准误 SE | t | p |
---|---|---|---|---|
截距Intercept | 172.2 | 302.6 | 0.569 | 0.570 |
gri | -5.251 | 0.646 | -8.129 | 6.77e-14*** |
slop | 0.699 | 0.284 | 2.462 | 0.015* |
posi | 0.207 | 0.089 | 2.332 | 0.021* |
si | -10.400 | 5.373 | -1.935 | 0.055 |
dba | -0.000 35 | 0.000 2 | -1.753 | 0.081 |
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