JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (5): 48-56.doi: 10.12302/j.issn.1000-2006.202312027
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YE Limin1(), XU Yuanke1, ZHOU Yizhi1, CHEN Zhenglu1, WANG Yixiang2, GE Hongli2,*()
Received:
2023-12-07
Revised:
2024-04-16
Online:
2024-09-30
Published:
2024-10-03
Contact:
GE Hongli
E-mail:191953314@qq.com;honglige@zafu.edu.cn
CLC Number:
YE Limin, XU Yuanke, ZHOU Yizhi, CHEN Zhenglu, WANG Yixiang, GE Hongli. Comprehensive effect of understory medicinal herb cultivation on individual volume growth in near-mature, mature and overmature Cunninghamia lanceolata forests[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(5): 48-56.
Table 1
Plot statistics"
林下种植 understory planting type | 统计项 statistical item | 平均 胸径/cm mean DBH | 平均 树高/m mean height | 公顷蓄积/ (m3·hm-2) hectare accumulation | 公顷株数/ (株·hm-2) number of trees per hectare | 郁闭度 closure | 海拔/m altitude | 地位指数 SI | 林木年龄/a tree age | 林分密度 指数 SDI |
---|---|---|---|---|---|---|---|---|---|---|
yes | 最小值 | 10.4 | 7.9 | 69 | 465 | 0.70 | 1 012 | 11.2 | 19 | 83 175 |
最大值 | 34.6 | 20.9 | 366 | 2 385 | 0.87 | 1 186 | 16.4 | 55 | 163 815 | |
均值 | 25.1 | 15.3 | 237 | 861 | 0.79 | 1 092 | 13.9 | 35.8 | 122 850 | |
中位数 | 26.5 | 16.4 | 246 | 720 | 0.80 | 1 091 | 13.4 | 33 | 128 280 | |
标准差 | 7.6 | 4.0 | 102 | 568 | 0.05 | 61 | 1.89 | 13.2 | 22 305 | |
变异系数/% | 30.30 | 26.31 | 43.04 | 65.97 | 6.33 | 5.59 | 13.60 | 36.87 | 18.16 | |
no | 最小值 | 15.4 | 11.1 | 99 | 555 | 0.72 | 955 | 11.8 | 25 | 91 905 |
最大值 | 35.6 | 20.7 | 488 | 1 155 | 0.89 | 1 286 | 17.7 | 52 | 198 585 | |
均值 | 25.1 | 16.1 | 283 | 867 | 0.80 | 1 153 | 14.5 | 39.0 | 143 835 | |
中位数 | 24.2 | 16.4 | 265 | 908 | 0.81 | 1 163 | 14.4 | 40.5 | 144 285 | |
标准差 | 6.1 | 3.4 | 129 | 195 | 0.07 | 115 | 1.96 | 11.6 | 32 055 | |
变异系数/% | 24.47 | 21.23 | 45.58 | 22.49 | 8.70 | 9.97 | 13.52 | 29.74 | 22.29 |
Table 2
Analytic tree data"
解析木号 analytic tree No. | 林下种植 understory planting | Δv/m3 | A/a | A2/a | D/cm | D2/cm | H/m | H2/m | 林分密度 指数 SDI | 地位指数 SI |
---|---|---|---|---|---|---|---|---|---|---|
1 | yes | 0.0189 98 | 52 | 49 | 23.1 | 21.6 | 17.2 | 15.8 | 132 090 | 12.5 |
2 | yes | 0.037 736 | 30 | 27 | 21.4 | 17.7 | 15.6 | 14.2 | 127 785 | 15.2 |
3 | yes | 0.026 892 | 34 | 31 | 22.5 | 19.8 | 14.6 | 13.4 | 138 645 | 13.2 |
4 | yes | 0.031 871 | 33 | 30 | 23.1 | 21.1 | 18.6 | 16.4 | 106 050 | 16.4 |
11 | yes | 0.029 205 | 33 | 30 | 25.4 | 23.8 | 18.3 | 15.9 | 163 815 | 15.9 |
12 | yes | 0.011 453 | 23 | 20 | 14.2 | 12.2 | 12.3 | 10.4 | 106 740 | 13.4 |
13 | yes | 0.009 932 | 25 | 22 | 16.5 | 14.9 | 10.5 | 9.2 | 83 175 | 11.2 |
15 | yes | 0.001 253 | 19 | 16 | 8.9 | 8.4 | 7.9 | 7.5 | 100 965 | 11.5 |
17 | yes | 0.028 642 | 54 | 51 | 31.1 | 29.9 | 20.9 | 20.4 | 140 490 | 16.1 |
18 | yes | 0.018 211 | 55 | 52 | 29.1 | 27.9 | 17.3 | 16.9 | 128 775 | 13.3 |
5 | no | 0.016 662 | 52 | 49 | 26.2 | 25.3 | 20.5 | 20.0 | 198 585 | 16.2 |
6 | no | 0.014 700 | 49 | 46 | 22.7 | 22.0 | 15.5 | 14.5 | 168 675 | 12.4 |
7 | no | 0.027 756 | 29 | 26 | 21.5 | 18.5 | 17.4 | 15.8 | 172 170 | 17.7 |
8 | no | 0.012 312 | 27 | 24 | 18.5 | 16.7 | 13.2 | 12.4 | 141 915 | 14.0 |
9 | no | 0.015 134 | 33 | 30 | 20.4 | 19.1 | 16.2 | 15.6 | 128 490 | 15.4 |
10 | no | 0.003 651 | 25 | 22 | 12.7 | 12.0 | 11.3 | 10.5 | 919 20 | 12.6 |
14 | no | 0.011 870 | 48 | 45 | 20.7 | 19.7 | 16.6 | 15.5 | 115 185 | 13.4 |
16 | no | 0.003 665 | 27 | 24 | 14.8 | 14.3 | 11.1 | 10.6 | 105 675 | 11.8 |
19 | no | 0.012 303 | 50 | 47 | 25.7 | 24.9 | 18.6 | 18.2 | 146 670 | 14.8 |
20 | no | 0.020 485 | 50 | 47 | 27.9 | 27.0 | 20.7 | 20.0 | 169 095 | 16.5 |
平均 mean | 0.017 670 | 37 | 34.4 | 21.3 | 19.8 | 15.7 | 14.7 | 133 346 | 14.2 |
Table 5
Result of the 5 best models and the full subset model based on AIC"
模型 model | 指标 indicator | a0/常数 a0/constant | a1/U | a2/ | a3/D2 | a4/ H2 | a5/ISDI | a6/ISI | AIC | F | P | R2 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 参数 | -0.087 03 | 0.011 89 | 0.003 43 | 0.002 94 | -221.2 | 43.26 | <0.001 | 0.870 | |||
P0 | <0.001 | <0.001 | <0.001 | <0.001 | ||||||||
2 | 参数 | -0.086 05 | 0.012 33 | 0.003 33 | 4.8×10-7 | 0.002 67 | -220.2 | 32.05 | <0.001 | 0.867 | ||
P0 | <0.001 | <0.001 | <0.001 | 0.410 | <0.001 | |||||||
3 | 参数 | -0.091 96 | 0.012 59 | 0.003 62 | -<0.001 43 | 7.8×10-7 | 0.003 00 | -219.6 | 25.95 | <0.001 | 0.868 | |
P0 | <0.001 | <0.001 | <0.001 | 0.322 | 0.244 | <0.001 | ||||||
4 | 参数 | -0.090 13 | 0.011 89 | 0.003 60 | -<0.001 20 | 0.003 17 | -219.6 | 31.08 | <0.001 | 0.864 | ||
P0 | <0.001 | <0.001 | <0.001 | 0.598 | <0.001 | |||||||
5 | 参数 | -0.088 97 | 0.012 02 | 0.003 56 | -<0.001 08 | 0.003 02 | -219.4 | 30.74 | <0.001 | 0.862 | ||
P0 | <0.001 | <0.001 | 0.001 | 0.711 | <0.001 | |||||||
全集模型 full set model | 参数 | -0.092 01 | 0.012 49 | 0.003 61 | <0.001 05 | -<0.001 52 | 7.6×10-7 | 0.003 05 | -217.6 | 20.09 | <0.001 | 0.858 |
P0 | <0.001 | <0.001 | <0.001 | 0.935 | 0.664 | 0.286 | 0.006 |
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