Scientia Silvae Sinicae ›› 2023, Vol. 59 ›› Issue (10): 57-65.doi: 10.11707/j.1001-7488.LYKX20210872
• Research papers • Previous Articles Next Articles
Shuai Yu1,Tijiu Cai1,Pide Zhang2,Minglei Ren2,Haiyu Zhang2,Cunyong Ju1,*
Received:
2021-11-30
Online:
2023-10-25
Published:
2023-11-01
Contact:
Cunyong Ju
CLC Number:
Shuai Yu,Tijiu Cai,Pide Zhang,Minglei Ren,Haiyu Zhang,Cunyong Ju. Scaling Effects of Edge Correction Methods on Spatial Structure Parameters[J]. Scientia Silvae Sinicae, 2023, 59(10): 57-65.
Table 1
Characteristics of species in the mixed hardwood/Korean pine plot"
树种 Species | 株数 Number of trees | 相对丰富度 Relative abundance(%) | 平均胸径 Mean DBH/cm | 平均树高 Mean height /m | 胸高断面积 Basal area of breast height/ (m2·hm?2) | 蓄积 Volume/ (m3·hm?2) | 树种组成系数 Coefficient of species composition |
白桦Betula platyphylla | 228 | 20.94 | 21.04 | 0.34 | 8.86 | 18.00 | 0.27 |
红松Pinus koraiensis | 94 | 8.63 | 17.96 | 0.54 | 3.08 | 6.35 | 0.10 |
冷杉Abies fabri | 202 | 18.55 | 19.56 | 0.55 | 7.88 | 18.14 | 0.28 |
鱼鳞云杉Picea jezoensis var. microsperma | 49 | 4.50 | 22.59 | 0.57 | 2.59 | 6.21 | 0.09 |
紫椴Tilia amurensis | 156 | 14.33 | 14.07 | 0.64 | 3.41 | 6.17 | 0.09 |
全样地Total plots | 1 089 | — | 16.60 | 12.60 | 31.69 | 65.63 | 1.00 |
Table 2
Judgment of the horizontal distribution pattern of forest stands at different scales"
校正方法 Correction method | 尺度 Scale | 株数 Number of trees | | | 下限 Low limit | 上限 Upper limits | 分布格局 Distribution patterns |
未校正 Uncorrected | 20 m×20 m | 43 | 0.549 | 0.034 | 0.434 | 0.566 | 随机Random |
30 m×30 m | 92 | 0.531 | 0.023 | 0.455 | 0.545 | 随机Random | |
40 m×40 m | 157 | 0.534 | 0.018 | 0.465 | 0.535 | 随机Random | |
60 m×60 m | 418 | 0.524 | 0.011 | 0.478 | 0.522 | 团状Clumped | |
80 m×80 m | 716 | 0.525 | 0.008 | 0.483 | 0.517 | 团状Clumped | |
100 m×100 m | 1 089 | 0.521 | 0.007 | 0.486 | 0.514 | 团状Clumped | |
NN最近邻校正法 The nearest- neighbor method | 20 m×20 m | 18 | 0.570 | 0.051 | 0.401 | 0.599 | 随机Random |
30 m×30 m | 56 | 0.549 | 0.029 | 0.442 | 0.558 | 随机Random | |
40 m×40 m | 109 | 0.547 | 0.021 | 0.458 | 0.542 | 团状Clumped | |
60 m×60 m | 345 | 0.526 | 0.012 | 0.476 | 0.524 | 团状Clumped | |
80 m×80 m | 598 | 0.524 | 0.009 | 0.482 | 0.518 | 团状Clumped | |
100 m×100 m | 953 | 0.526 | 0.007 | 0.486 | 0.514 | 团状Clumped | |
Voronoi图 近邻校正法 The Voronoi diagram-based method | 20 m×20 m | 18 | 0.592 | 0.051 | 0.400 | 0.600 | 随机Random |
30 m×30 m | 59 | 0.537 | 0.029 | 0.444 | 0.556 | 随机Random | |
40 m×40 m | 103 | 0.557 | 0.022 | 0.457 | 0.543 | 团状Clumped | |
60 m×60 m | 342 | 0.522 | 0.012 | 0.476 | 0.524 | 随机Random | |
80 m×80 m | 614 | 0.520 | 0.009 | 0.482 | 0.518 | 团状Clumped | |
100 m×100 m | 963 | 0.523 | 0.007 | 0.486 | 0.514 | 团状Clumped | |
5%缓冲区校正法 The internal buffer method | 20 m×20 m | 32 | 0.553 | 0.039 | 0.424 | 0.576 | 随机Random |
30 m×30 m | 72 | 0.547 | 0.026 | 0.449 | 0.551 | 随机Random | |
40 m×40 m | 127 | 0.541 | 0.020 | 0.461 | 0.539 | 团状Clumped | |
60 m×60 m | 337 | 0.527 | 0.012 | 0.476 | 0.524 | 团状Clumped | |
80 m×80 m | 579 | 0.523 | 0.009 | 0.482 | 0.518 | 团状Clumped | |
100 m×100 m | 903 | 0.526 | 0.008 | 0.485 | 0.515 | 团状Clumped |
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