Chin J Plant Ecol ›› 2007, Vol. 31 ›› Issue (6): 1092-1102.DOI: 10.17521/cjpe.2007.0137
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ZHANG Zhi-Dong1,2, ZANG Run-Guo1,*()
Received:
2006-04-17
Accepted:
2006-07-22
Online:
2007-04-17
Published:
2007-11-30
Contact:
ZANG Run-Guo
ZHANG Zhi-Dong, ZANG Run-Guo. INFLUENCE OF ECOLOGICAL FACTORS ON DISTRIBUTION OF WOODY PLANT FUNCTIONAL TYPES IN A NATURAL TROPICAL FOREST LANDSCAPE, BAWANGLING, HAINAN ISLAND, SOUTH CHINA[J]. Chin J Plant Ecol, 2007, 31(6): 1092-1102.
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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2007.0137
功能型 Functional types | 潜在高度 Potential height (m) | 木材密度 Wood density (g·cm-3) | 物种个数 Species richness | 相对多度 Relative stem abundance (%) | |||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
软木灌木Softwood shrub (L1) | 2~5 | 0.12~0.49 | 18 | 2.21 | |||||||||||||||||||
软木次林层乔木Softwood understory (L2) | 5~15 | 37 | 6.95 | ||||||||||||||||||||
软木主林层或超冠层乔木Softwood canopy or emergent (L3) | 15~40 | 20 | 3.06 | ||||||||||||||||||||
中等硬木灌木Medium wood shrub (M1) | 2~5 | 0.49~0.79 | 33 | 11.36 | |||||||||||||||||||
中等硬木次林层乔木Medium wood understory (M2) | 5~15 | 158 | 18.43 | ||||||||||||||||||||
中等硬木主林层或超冠层乔木Medium wood canopy or emergent (M3) | 15~40 | 109 | 21.59 | ||||||||||||||||||||
硬木灌木Hardwood shrub (H1) | 2~5 | 0.79~1.02 | 36 | 8.36 | |||||||||||||||||||
硬木次林层乔木Hardwood understory (H2) | 5~15 | 114 | 18.28 | ||||||||||||||||||||
硬木主林层或超冠层乔木Hardwood canopy or emergent (H3) | 15~40 | 54 | 9.75 |
Table 1 Woody plant functional types
功能型 Functional types | 潜在高度 Potential height (m) | 木材密度 Wood density (g·cm-3) | 物种个数 Species richness | 相对多度 Relative stem abundance (%) | |||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
软木灌木Softwood shrub (L1) | 2~5 | 0.12~0.49 | 18 | 2.21 | |||||||||||||||||||
软木次林层乔木Softwood understory (L2) | 5~15 | 37 | 6.95 | ||||||||||||||||||||
软木主林层或超冠层乔木Softwood canopy or emergent (L3) | 15~40 | 20 | 3.06 | ||||||||||||||||||||
中等硬木灌木Medium wood shrub (M1) | 2~5 | 0.49~0.79 | 33 | 11.36 | |||||||||||||||||||
中等硬木次林层乔木Medium wood understory (M2) | 5~15 | 158 | 18.43 | ||||||||||||||||||||
中等硬木主林层或超冠层乔木Medium wood canopy or emergent (M3) | 15~40 | 109 | 21.59 | ||||||||||||||||||||
硬木灌木Hardwood shrub (H1) | 2~5 | 0.79~1.02 | 36 | 8.36 | |||||||||||||||||||
硬木次林层乔木Hardwood understory (H2) | 5~15 | 114 | 18.28 | ||||||||||||||||||||
硬木主林层或超冠层乔木Hardwood canopy or emergent (H3) | 15~40 | 54 | 9.75 |
变量Variable | |
---|---|
环境Environmental | |
ELEV | LATO |
SLOP | SODE |
ASPE | GRIT |
POSI | BIST |
YELO | GRAN |
YESL | GRST |
YECL | |
人为干扰 Anthropogenetic disturbance | |
NODI | SECU |
BURN | PLAG |
CLCU | |
空间位置 Spatial situation | |
X | X2Y |
Y | XY2 |
XY | X3 |
X2 | Y3 |
Y2 |
Table 2 Selection and definition of environmental, disturbance and spatial variables
变量Variable | |
---|---|
环境Environmental | |
ELEV | LATO |
SLOP | SODE |
ASPE | GRIT |
POSI | BIST |
YELO | GRAN |
YESL | GRST |
YECL | |
人为干扰 Anthropogenetic disturbance | |
NODI | SECU |
BURN | PLAG |
CLCU | |
空间位置 Spatial situation | |
X | X2Y |
Y | XY2 |
XY | X3 |
X2 | Y3 |
Y2 |
数据集* Data set | p | 典范特征值总和 Sum of all canonical eigenvalues | 前四轴累计贡献百分比 Cumulative percentage of canonical variance accounted for by axes 1-4 | |||
---|---|---|---|---|---|---|
Ⅰ | Ⅱ | Ⅲ | Ⅳ | |||
P-A | 0.002 | 0.31 | 66.0 | 87.6 | 94.7 | 96.8 |
SR | 0.002 | 0.48 | 82.3 | 89.3 | 94.2 | 96.6 |
SA | 0.002 | 0.43 | 70.2 | 85.8 | 90.8 | 95.1 |
Table 3 Linear redundancy analysis (RDA) of the environment-anthropogenetic disturbance-spatial influences of functional types distributions
数据集* Data set | p | 典范特征值总和 Sum of all canonical eigenvalues | 前四轴累计贡献百分比 Cumulative percentage of canonical variance accounted for by axes 1-4 | |||
---|---|---|---|---|---|---|
Ⅰ | Ⅱ | Ⅲ | Ⅳ | |||
P-A | 0.002 | 0.31 | 66.0 | 87.6 | 94.7 | 96.8 |
SR | 0.002 | 0.48 | 82.3 | 89.3 | 94.2 | 96.6 |
SA | 0.002 | 0.43 | 70.2 | 85.8 | 90.8 | 95.1 |
变量 Variables | P-A | SR | SA | |||
---|---|---|---|---|---|---|
轴一 Axis 1 | 轴二 Axis 2 | 轴一 Axis 1 | 轴二 Axis 2 | 轴一 Axis 1 | 轴二 Axis 2 | |
X | 0.335 0 | -0.141 3 | 0.421 8 | -0.017 8 | 0.427 1 | -0.054 8 |
Y | -0.125 1 | 0.158 7 | -0.116 2 | 0.113 5 | -0.063 1 | 0.065 3 |
XY | 0.337 9 | -0.118 1 | 0.434 6 | 0.006 8 | 0.452 6 | -0.044 7 |
X2 | 0.333 8 | -0.142 0 | 0.420 0 | -0.019 1 | 0.424 9 | -0.055 0 |
Y2 | -0.124 8 | 0.158 6 | -0.115 7 | 0.113 0 | -0.062 8 | 0.064 9 |
X2Y | 0.337 2 | -0.131 5 | 0.428 7 | -0.007 1 | 0.439 7 | -0.050 3 |
XY2 | 0.324 6 | -0.085 8 | 0.428 1 | 0.034 4 | 0.459 6 | -0.031 2 |
X3 | 0.332 5 | -0.142 7 | 0.418 3 | -0.020 4 | 0.422 6 | -0.055 3 |
Y3 | -0.124 6 | 0.158 5 | -0.115 2 | 0.112 5 | -0.062 4 | 0.064 4 |
ELEV | -0.199 5 | -0.092 7 | -0.323 5 | 0.294 1 | -0.270 4 | 0.188 8 |
SLOP | 0.010 6 | 0.056 6 | -0.053 6 | 0.176 6 | -0.040 2 | 0.225 8 |
ASPE | 0.143 0 | -0.161 2 | 0.124 3 | -0.020 4 | 0.136 0 | -0.079 1 |
POSI | 0.064 1 | -0.157 1 | -0.005 2 | 0.128 2 | -0.044 7 | -0.048 2 |
YESL | -0.083 1 | 0.020 9 | -0.113 0 | -0.019 5 | -0.098 6 | -0.078 5 |
YELO | 0.003 5 | 0.159 5 | 0.012 4 | 0.149 8 | 0.037 7 | 0.202 9 |
YECL | -0.082 0 | -0.092 3 | -0.125 4 | -0.039 4 | -0.147 3 | -0.025 6 |
LATO | 0.159 9 | -0.184 1 | 0.216 1 | -0.151 3 | 0.176 7 | -0.153 4 |
SODE | -0.470 5 | -0.076 4 | -0.517 7 | -0.125 1 | -0.572 1 | -0.067 1 |
GRIT | 0.406 2 | -0.098 2 | 0.432 2 | -0.220 9 | 0.398 7 | -0.127 3 |
BIST | -0.035 6 | 0.016 3 | 0.011 1 | 0.057 0 | 0.073 3 | 0.094 2 |
GRAN | -0.102 9 | 0.117 6 | -0.209 4 | 0.110 0 | -0.135 8 | 0.053 0 |
GRST | 0.102 9 | -0.117 6 | 0.209 4 | -0.110 0 | 0.135 8 | -0.053 0 |
NODI | -0.012 2 | 0.035 7 | 0.104 0 | -0.050 5 | 0.117 4 | -0.052 2 |
BURN | 0.520 5 | 0.184 3 | 0.566 7 | 0.225 7 | 0.554 6 | 0.276 0 |
CLCU | 0.171 9 | -0.109 0 | 0.259 7 | -0.065 9 | 0.215 1 | -0.223 2 |
SECU | -0.335 2 | -0.082 1 | -0.519 6 | -0.034 | -0.506 8 | 0.014 |
PLAG | -0.066 6 | 0.018 3 | 0.044 9 | -0.070 3 | 0.049 8 | -0.100 8 |
Table 4 Correlation of explanatory variables with the first two ordination axes of redundancy analysis
变量 Variables | P-A | SR | SA | |||
---|---|---|---|---|---|---|
轴一 Axis 1 | 轴二 Axis 2 | 轴一 Axis 1 | 轴二 Axis 2 | 轴一 Axis 1 | 轴二 Axis 2 | |
X | 0.335 0 | -0.141 3 | 0.421 8 | -0.017 8 | 0.427 1 | -0.054 8 |
Y | -0.125 1 | 0.158 7 | -0.116 2 | 0.113 5 | -0.063 1 | 0.065 3 |
XY | 0.337 9 | -0.118 1 | 0.434 6 | 0.006 8 | 0.452 6 | -0.044 7 |
X2 | 0.333 8 | -0.142 0 | 0.420 0 | -0.019 1 | 0.424 9 | -0.055 0 |
Y2 | -0.124 8 | 0.158 6 | -0.115 7 | 0.113 0 | -0.062 8 | 0.064 9 |
X2Y | 0.337 2 | -0.131 5 | 0.428 7 | -0.007 1 | 0.439 7 | -0.050 3 |
XY2 | 0.324 6 | -0.085 8 | 0.428 1 | 0.034 4 | 0.459 6 | -0.031 2 |
X3 | 0.332 5 | -0.142 7 | 0.418 3 | -0.020 4 | 0.422 6 | -0.055 3 |
Y3 | -0.124 6 | 0.158 5 | -0.115 2 | 0.112 5 | -0.062 4 | 0.064 4 |
ELEV | -0.199 5 | -0.092 7 | -0.323 5 | 0.294 1 | -0.270 4 | 0.188 8 |
SLOP | 0.010 6 | 0.056 6 | -0.053 6 | 0.176 6 | -0.040 2 | 0.225 8 |
ASPE | 0.143 0 | -0.161 2 | 0.124 3 | -0.020 4 | 0.136 0 | -0.079 1 |
POSI | 0.064 1 | -0.157 1 | -0.005 2 | 0.128 2 | -0.044 7 | -0.048 2 |
YESL | -0.083 1 | 0.020 9 | -0.113 0 | -0.019 5 | -0.098 6 | -0.078 5 |
YELO | 0.003 5 | 0.159 5 | 0.012 4 | 0.149 8 | 0.037 7 | 0.202 9 |
YECL | -0.082 0 | -0.092 3 | -0.125 4 | -0.039 4 | -0.147 3 | -0.025 6 |
LATO | 0.159 9 | -0.184 1 | 0.216 1 | -0.151 3 | 0.176 7 | -0.153 4 |
SODE | -0.470 5 | -0.076 4 | -0.517 7 | -0.125 1 | -0.572 1 | -0.067 1 |
GRIT | 0.406 2 | -0.098 2 | 0.432 2 | -0.220 9 | 0.398 7 | -0.127 3 |
BIST | -0.035 6 | 0.016 3 | 0.011 1 | 0.057 0 | 0.073 3 | 0.094 2 |
GRAN | -0.102 9 | 0.117 6 | -0.209 4 | 0.110 0 | -0.135 8 | 0.053 0 |
GRST | 0.102 9 | -0.117 6 | 0.209 4 | -0.110 0 | 0.135 8 | -0.053 0 |
NODI | -0.012 2 | 0.035 7 | 0.104 0 | -0.050 5 | 0.117 4 | -0.052 2 |
BURN | 0.520 5 | 0.184 3 | 0.566 7 | 0.225 7 | 0.554 6 | 0.276 0 |
CLCU | 0.171 9 | -0.109 0 | 0.259 7 | -0.065 9 | 0.215 1 | -0.223 2 |
SECU | -0.335 2 | -0.082 1 | -0.519 6 | -0.034 | -0.506 8 | 0.014 |
PLAG | -0.066 6 | 0.018 3 | 0.044 9 | -0.070 3 | 0.049 8 | -0.100 8 |
变异解释构成 Variance components fractions | P-A | SR | SA | |||
---|---|---|---|---|---|---|
TV | TVE (%) | TV | TVE (%) | TV | TVE (%) | |
纯环境Purely environmental (Rpe) | 0.102 | 36.13 | 0.115 | 23.96 | 0.117 | 27.21 |
纯干扰Pure disturbance (Rpd) | 0.072 | 23.23 | 0.105 | 21.88 | 0.102 | 23.72 |
纯空间Purely Spatial (Rps) | 0.039 | 12.58 | 0.040 | 8.33 | 0.034 | 7.91 |
混合的环境-干扰Environmental-disturbance (Red) | 0.064 | 20.65 | 0.134 | 27.92 | 0.092 | 21.40 |
混合的环境-空间Environmental-spatial (Res) | 0.015 | 4.84 | 0.036 | 7.50 | 0.038 | 8.84 |
混合的空间-干扰Spatial-disturbance (Rsd) | 0.003 | 0.97 | 0.000 | 0.00 | 0.001 | 0.23 |
混合的环境-空间-干扰 Environmental-spatial-disturbance (Reds) | 0.015 | 4.83 | 0.050 | 10.42 | 0.046 | 10.70 |
残差Residuals | 0.690 | 0.520 | 0.570 |
Table 5 Partitioning of the variation by linear redundancy analysis (RDA) of three data matrix
变异解释构成 Variance components fractions | P-A | SR | SA | |||
---|---|---|---|---|---|---|
TV | TVE (%) | TV | TVE (%) | TV | TVE (%) | |
纯环境Purely environmental (Rpe) | 0.102 | 36.13 | 0.115 | 23.96 | 0.117 | 27.21 |
纯干扰Pure disturbance (Rpd) | 0.072 | 23.23 | 0.105 | 21.88 | 0.102 | 23.72 |
纯空间Purely Spatial (Rps) | 0.039 | 12.58 | 0.040 | 8.33 | 0.034 | 7.91 |
混合的环境-干扰Environmental-disturbance (Red) | 0.064 | 20.65 | 0.134 | 27.92 | 0.092 | 21.40 |
混合的环境-空间Environmental-spatial (Res) | 0.015 | 4.84 | 0.036 | 7.50 | 0.038 | 8.84 |
混合的空间-干扰Spatial-disturbance (Rsd) | 0.003 | 0.97 | 0.000 | 0.00 | 0.001 | 0.23 |
混合的环境-空间-干扰 Environmental-spatial-disturbance (Reds) | 0.015 | 4.83 | 0.050 | 10.42 | 0.046 | 10.70 |
残差Residuals | 0.690 | 0.520 | 0.570 |
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