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Song Yuhan, Zhang Chen, Cai Tijiu, Ju Cunyong. Quantitative analysis of spatial structural characteristics of broadleaved Korean pine forest based on Voronoi diagram[J]. Journal of Beijing Forestry University, 2021, 43(1): 20-26. DOI: 10.12171/j.1000-1522.20200056
Citation: Song Yuhan, Zhang Chen, Cai Tijiu, Ju Cunyong. Quantitative analysis of spatial structural characteristics of broadleaved Korean pine forest based on Voronoi diagram[J]. Journal of Beijing Forestry University, 2021, 43(1): 20-26. DOI: 10.12171/j.1000-1522.20200056

Quantitative analysis of spatial structural characteristics of broadleaved Korean pine forest based on Voronoi diagram

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  • Received Date: March 19, 2020
  • Revised Date: April 07, 2020
  • Available Online: December 20, 2020
  • Published Date: February 04, 2021
  •   Objective  Forest spatial structure is the result of forest biophysical processes and dynamic succession, and determines the growth process of forests and the function of ecological services. The Xiaoxing’anling Mountains are important ecological function area for diversity protection and water conservation, but their forest degradation is already very serious. In order to provide theoretical support for the structural optimization and adjustment of degraded forests and promote the forest to play their due roles in forest ecological services, it is necessary to analyze the structural characteristics of existing zonal climax communities.
      Method  In this paper, the broadleaved Korean pine forest in the Xilinhe National Nature Reserve was taken as the research object. Based on field survey data, the Voronoi polygons were established using ArcMap software to determine spatial structural units. By the spatial structural units, several spatial structural parameters such as Clark’s clustering index, size differentiation, Hegyi’s competition index, and diversity mingling were calculated. According to them, the spatial structural characteristics were further analyzed.
      Result  The horizontal pattern of broadleaved Korean pine forest stand appeared aggregated distribution, and the results derived from Clark’s clustering index were consistent with those resulted from the standard deviation of Voronoi polygon edge number. The coniferous trees had greater competitive advantages than the broadleaved trees, and the broadleaved trees presented more intense intraspecific competition. However, the trends of Hegyi’s competition index and the size differentiation index were not completely consistent. The species diversity mingling indicated that the forest stand was at a moderate level, and the isolation of conifers was higher than that of broadleaved trees. Furthermore, the extent of isolation was not directly related to the abundance of tree species in the stand.
      Conclusion  The broadleaved Korean pine forest in the Xiaoxing’anling Mountains is characterized by aggregated distribution, moderate mingling, and moderate competition. The structural units of Korean pine and Fabers fir have a high degree of mixing, and the Korean pine and Fabers fir have obvious competitive advantages in their respective structural units; while the structural units of Chinese birch, Manchustripe maple, and Amur lilac are low mixed, respectively. These three species are under great competitive pressure, and more manifested as intra-species competition, among them the Amur lilac is the most representative. These characteristics are not the same as those of the broadleaved Korean pine forest in the Changbai Mountains reported in the literatures. This maybe due to different parameters selected or the result of natural selection of topographic and climatic differences. Further investigation and research are needed.
  • [1]
    汤孟平. 森林空间结构研究现状与发展趋势[J]. 林业科学, 2010, 46(1):117−122. doi: 10.11707/j.1001-7488.20100119.

    Tang M P. Advances in study of forest spatial structure[J]. Scientia Silavae Sinicae, 2010, 46(1): 117−122. doi: 10.11707/j.1001-7488.20100119.
    [2]
    惠刚盈, von Gadow K, 赵中华, 等. 结构化森林经营原理[M]. 北京: 中国林业出版社, 2016.

    Hui G Y, von Gadow K, Zhao Z H, et al. Principles of structure-based forest management[M]. Beijing: China Forestry Publishing House, 2016.
    [3]
    Pommerening A. Evaluating structural indices by reversing forest structural analysis[J]. Forest Ecology and Management, 2006, 224(3): 266−277.
    [4]
    卿东升, 李建军. 天然林空间结构多目标优化评价模型探究[J]. 林业科技通讯, 2019(2):3−6.

    Qing D S, Li J J. Research on multi-objective optimization evaluation model of natural forest spatial structure[J]. Forest Science and Technology, 2019(2): 3−6.
    [5]
    夏富才, 姚大地, 赵秀海, 等. 长白山北坡阔叶红松林空间结构[J]. 东北林业大学学报, 2009, 37(10):5−7. doi: 10.3969/j.issn.1000-5382.2009.10.002.

    Xia F C, Yao D D, Zhao X H, et al. Horizontal spatial structure of Korean pine broad-leaved forest in northern slope of Changbai Mountains[J]. Journal of Northeast Forestry University, 2009, 37(10): 5−7. doi: 10.3969/j.issn.1000-5382.2009.10.002.
    [6]
    Ghalandarayeshi S, Nord-Larsen T, Johannsen V K, et al. Spatial patterns of tree species in Suserup Skov: a semi-natural forest in Denmark[J]. Forest Ecology and Management, 2017, 406: 391−401.
    [7]
    Gonçalves F M P, Revermann R, Cachissapa M J, et al. Species diversity, population structure and regeneration of woody species in fallows and mature stands of tropical woodlands of southeast Angola[J]. Journal of Forestry Research, 2018, 29: 1569−1579.
    [8]
    李际平, 封尧, 赵春燕, 等. 基于Voronoi图的杉木生态公益林空间结构量化分析[J]. 北京林业大学学报, 2014, 36(4):1−7.

    Li J P, Feng Y, Zhao C Y, et al. Quantitative analysis of stand spatial structure of Cunninghamia lanceolata non-commercial forest based on Voronoi diagram[J]. Journal of Beijing Forestry University, 2014, 36(4): 1−7.
    [9]
    胡艳波, 惠刚盈, 戚继忠, 等. 吉林蛟河天然红松阔叶林的空间结构分析[J]. 林业科学研究, 2003, 16(5):523−530. doi: 10.3321/j.issn:1001-1498.2003.05.002.

    Hu Y B, Hui G Y, Qi J Z, et al. Analysis of the spatial structure of natural Korean pine broadleaved forest[J]. Forest Research, 2003, 16(5): 523−530. doi: 10.3321/j.issn:1001-1498.2003.05.002.
    [10]
    Yang M, Cai T J, Ju C Y, et al. Evaluating spatial structure of a mixed broad-leaved/Korean pine forest based on neighborhood relationships in Mudanfeng National Nature Reserve, China[J]. Journal of Forestry Research, 2019, 30(4): 1375−1381.
    [11]
    孙清芳, 刘滨凡, 马燕娥. 山河屯林业局红松阔叶混交林林分空间结构特征[J]. 森林工程, 2019, 35(6):1−5. doi: 10.3969/j.issn.1006-8023.2019.06.001.

    Sun Q F, Liu B F, Ma Y E. Spatial structure spatial structure characteristics of Pinus koraiensis mixed broad-leaved forest in Shanhetun Forestry Bureau[J]. Forest Engineering, 2019, 35(6): 1−5. doi: 10.3969/j.issn.1006-8023.2019.06.001.
    [12]
    Ali A. Forest stand structure and functioning: current knowledge and future challenges[J]. Ecological Indicators, 2019, 98: 665−677.
    [13]
    郝月兰, 张会儒, 唐守正. 基于空间结构优化的采伐木确定方法研究[J]. 西北林学院学报, 2012, 27(5):163−168. doi: 10.3969/j.issn.1001-7461.2012.05.31.

    Hao Y L, Zhang H R, Tang S Z. Determination method of cutting tree based on forest stand structure optimization[J]. Journal of Northeast Forestry University, 2012, 27(5): 163−168. doi: 10.3969/j.issn.1001-7461.2012.05.31.
    [14]
    侯红亚, 王立海. 小兴安岭红松针阔混交林林分空间结构分析[J]. 森林工程, 2012, 28(1):1−5. doi: 10.3969/j.issn.1001-005X.2012.01.001.

    Hou H Y, Wang L H. Spatial structure analysis of coniferous-broadleaved Korean pine mixed forest in Xiaoxing’anling Mountains[J]. Forest Engineering, 2012, 28(1): 1−5. doi: 10.3969/j.issn.1001-005X.2012.01.001.
    [15]
    朱颖, 高路, 倪红伟. 黑龙江省国有重点林区森林资源动态变化及原因分析[J]. 森林工程, 2018, 34(3):32−38. doi: 10.3969/j.issn.1006-8023.2018.03.006

    Zhu Y, Gao L, Ni H W. Analysis on dynamic change and the reason of forest resources in the state-owned forest area of Heilongjiang Province[J]. Forest Engineering, 2018, 34(3): 32−38. doi: 10.3969/j.issn.1006-8023.2018.03.006
    [16]
    汤孟平, 周国模, 陈永刚, 等. 基于 Voronoi 图的天目山常绿阔叶林混交度[J]. 林业科学, 2009, 45(6):1−5. doi: 10.3321/j.issn:1001-7488.2009.06.001

    Tang M P, Zhou G M, Chen Y G, et al. Mingling of evergreen broad-leaved forests in Tianmu Mountain based on Voronoi diagram[J]. Scientia Silavae Sinicae, 2009, 45(6): 1−5. doi: 10.3321/j.issn:1001-7488.2009.06.001
    [17]
    汤孟平, 陈永刚, 施拥军, 等. 基于Voronoi图的群落优势树种种内种间竞争[J]. 生态学报, 2007, 27(11):4707−4716. doi: 10.3321/j.issn:1000-0933.2007.11.039.

    Tang M P, Chen Y G, Shi Y J, et al. Intraspecific and interspecific competition analysis of community dominant plant populations based on Voronoi diagram[J]. Acta Ecologica Sinica, 2007, 27(11): 4707−4716. doi: 10.3321/j.issn:1000-0933.2007.11.039.
    [18]
    刘帅, 吴舒辞, 王红, 等. 基于 Voronoi 图的林分空间模型及分布格局研究[J]. 生态学报, 2014, 34(6):1436−1443.

    Liu S, Wu S C, Wang H, et al. The stand spatial model and pattern based on voronoi diagram[J]. Acta Ecologica Sinica, 2014, 34(6): 1436−1443.
    [19]
    惠刚盈, von Gadow K, Albert M. 一个新的林分空间结构参数: 大小比数[J]. 林业科学研究, 1999, 12(1):1−6. doi: 10.3321/j.issn:1001-1498.1999.01.001.

    Hui G Y, von Gadow K, Albert M. A new parameter for stand spatial structure: neighbourhood comparison[J]. Forest Research, 1999, 12(1): 1−6. doi: 10.3321/j.issn:1001-1498.1999.01.001.
    [20]
    汤孟平, 唐守正, 雷相东, 等. 两种混交度的比较分析[J]. 林业资源管理, 2004, 4(8):25−27.

    Tang M P, Tang S Z, Lei X D, et al. Comparison analysis on two minglings[J]. Forest Resource Management, 2004, 4(8): 25−27.
    [21]
    Clark P J, Evans F C. Distance to nearest neighbor as a measure of spatial relationships in populations[J]. Ecology, 1954, 35(4): 445−453.
    [22]
    赵中华, 惠刚盈, 胡艳波, 等. 角尺度判断林木水平分布格局的新方法[J]. 林业科学, 2016, 52(2):10−16.

    Zhao Z H, Hui G Y, Hu Y B, et al. The new method judged horizontal distribution pattern by uniform angle index[J]. Scientia Silvae Sinicae, 2016, 52(2): 10−16.
    [23]
    Contreras M A, Affleck D, Chung W. Evaluating tree competition indices as predictors of basal area increment in western Montana forests[J]. Forest Ecology and Management, 2011, 262(11): 1939−1949.
    [24]
    徐丽娜, 金光泽. 小兴安岭凉水典型阔叶红松林动态监测样地: 物种组成与群落结构[J]. 生物多样性, 2012, 20(4):470−481.

    Xu L N, Jin G Z. Species composition and community structure of a typical mixed broad-leaved-Korean pine (Pinus koraiensis) forest plot in Liangshui Nature Reserve, Northeast China[J]. Biodiversity Science, 2012, 20(4): 470−481.
    [25]
    王琴香, 沈海龙, 和春庭, 等. 红松人工林和相邻次生林林下红松天然更新种群格局分析[J]. 森林工程, 2018, 34(2):16−20. doi: 10.3969/j.issn.1006-8023.2018.02.004.

    Wang Q X, Shen H L, He C T, et al. Analysis of natural regeneration pattern of Pinus koraiensis seedlings regenerated in Pinus koraiensis plantation and its adjacent Quercus mongolica natural forest[J]. Forest Engineering, 2018, 34(2): 16−20. doi: 10.3969/j.issn.1006-8023.2018.02.004.
    [26]
    赵春燕, 李际平, 李建军. 基于 Voronoi 图和 Delaunay 三角网的林分空间结构量化分析[J]. 林业科学, 2010, 46(6):78−84. doi: 10.11707/j.1001-7488.20100612.

    Zhao C Y, Li J P, Li J J. Quantitative analysis of forest stand spatial structure based on Voronoi diagram & Delaunay triangulated network[J]. Scientia Silvae Sinicae, 2010, 46(6): 78−84. doi: 10.11707/j.1001-7488.20100612.
    [27]
    张弓乔, 惠刚盈. Voronoi 多边形的边数分布规律及其在林木格局分析中的应用[J]. 北京林业大学学报, 2015, 37(4):1−7.

    Zhang G Q, Hui G Y. Analysis and application of polygon side distribution of Voronoi diagram in tree patterns[J]. Journal of Beijing Forestry University, 2015, 37(4): 1−7.
    [28]
    Canham C D, Lepage P T, Coates K D. A neighborhood analysis of canopy tree competition: effects of shading versus crowding[J]. Canadian Journal of Forest Research, 2004, 34(4): 778−787.
    [29]
    惠刚盈, 胡艳波, 赵中华. 结构化森林经营研究进展[J]. 林业科学研究, 2018, 31(1):85−93.

    Hui G Y, Hu Y B, Zhao Z H. Research progress of structure-based forest management[J]. Forest Research, 2018, 31(1): 85−93.
    [30]
    Maleki K, Kiviste A, Korjus H. Analysis of individual tree competition on diameter growth of silver birch in Estonia[J/OL]. Forest Systems, 2015, 24(2): e023 [2019−12−25]. https://revistas.inia.es/index.php/fs/article/view/5742.
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