Quantitative Analysis of Forest Spatial Structure and Optimal Species Composition for the Main Forest Types in Daxing'anling, Northeast China

DONG Ling-bo; LIU Zhao-gang; LI Feng-ri; JIANG Lei

Volume 27 Issue 6

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Citation:

Quantitative Analysis of Forest Spatial Structure and Optimal Species Composition for the Main Forest Types in Daxing'anling, Northeast China

1.
Forestry College, Northeast Forestry University, Harbin 150040, Heilongjiang, China

Received Date: 2013-11-26

Abstract

Forest health management is one of the research hotspots at the present stage, and the key is to maintain and create the optimal forest spatial structure. The forest spatial structure (FSS) and optimal species composition were studied with the commonly-used forest spatial structure parameters (i.e. mingling, neighborhood comparison, neighborhood pattern, forest spatial structure index (FSSI), and forest spatial structure distance (FSSD)) based on the data of 44 plots in Daxing'anling Mountains of northeast China, which were collected in the 2011 and 2012. The results showed that the horizontal distribution pattern of natural Larix gmelini (LG), coniferous mixed (CM) and coniferous-broadleaved mixed (CBM) stands mainly followed the random distribution, and the Betula platyphylla (BP) natural forest followed the typical cluster distribution. The tree growth of the four forest types were moderate as a whole,in which L. gmelini was at the dominant position and the others species were squeezed with different degrees. And the mixed degree of L. gmelini was reduced with the increase of its dominance, the other species had a higher mixed degree of species. As a whole, the mixed degree of species for LG and BP forest were relative lower (0.20 and 0.07), but the two mixed forest types were higher (0.45 and 0.56). Significant difference of FSS was found among the four main forest types in study area, the order was CBM>CM>LG>BP. From the viewpoint of maintaining and creating the optimal forest spatial structure, it was found that the proportion of L. gmelini accounted for 80% of the whole forest was the optimal species composition for the LG forest.
- forest type,
- forest spatial structure,
- species composition,
- Daxing' anling

References

[1]	国家林业局. 国家森林资源连续清查技术规定[M]. 北京:国家林业局, 2004.
[2]	赵中华, 惠刚盈. 基于林分状态特征的森林自然度评价——以甘肃小陇山林区为例[J]. 林业科学, 2011,47(2): 9-16.
[3]	国家林业局. 中国森林可持续经营标准与指标(LY/T 1594-2002)[M]. 北京:中国标准出版社, 2003.
[4]	惠刚盈,Gadow K V,Matthias A. 角尺度——一个描述林木个体分布格局的结构参数[J]. 林业科学, 1999, 35(1): 37-42.
[5]	惠刚盈,胡艳波. 混交林树种空间隔离程度表达方式的研究[J]. 林业科学研究, 2001, 14(1): 23-27.
[6]	惠刚盈,Gadow K V,Matthias A. 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.
[7]	Lewandowski A U, Gadow K V. Ein heuristischer Ansatz zur reproduktion von Waldbestnden[J]. Allgemeine Forest und Jagdzeitung, 1997, 168(9): 170-174.
[8]	惠刚盈. 基于相邻木关系的林分空间结构参数应用研究[J]. 北京林业大学学报, 2013, 35(4): 1-8.
[9]	赵中华, 惠刚盈, 胡艳波, 等. 结构化森林经营方法在阔叶红松林中的应用[J]. 林业科学研究, 2013, 26(4): 467-472.
[10]	Aguirre O, Hui G Y, Gadow K V, et al. An analysis of spatial forest structure using neighbourhood-based variables [J]. Forest Ecology and Management, 2003, 183: 137-145.
[11]	Pommerening A. Evaluating structure indices by reversing forest structure analysis [J]. Forest Ecology and Management, 2006, 224: 266-277.
[12]	汪平, 贾雷明, 魏松坡, 等. 基于Voronoi图的侧柏游憩林空间结构分析[J]. 北京林业大学学报, 2013, 35(2): 39-44.
[13]	汤孟平, 徐文兵, 陈永刚, 等. 毛竹林空间结构优化调控模型[J]. 林业科学, 2013, 49(1): 120-125.
[14]	王铁牛. 长白山云冷杉针阔混交林经营模式研究[D]. 北京:北京林业大学, 2005.
[15]	乌吉斯古楞. 长白山过伐林区云冷杉针叶混交林经营模式研究[D]. 北京:北京林业大学, 2010.
[16]	惠刚盈, Gadow K V, 胡艳波. 林分空间结构参数角尺度的标准角选择[J]. 林业科学研究, 2004, 17(6):687-692.
[17]	董灵波, 刘兆刚, 倪宝龙, 等. 天然林林分空间结构综合指数研究[J].北京林业大学学报,2013,35(1):16-22.
[18]	孙家宝, 张海林, 胡海清. 火干扰强度对兴安落叶松林物种组成及多样性的影响[J]. 森林工程, 2009, 25(6): 1-5.
[19]	倪宝龙, 刘兆刚. 不同强度火干扰下盘古林场天然落叶松林的空间结构[J]. 生态学报, 2013, 33(16): 4975-4984.
[20]	汤孟平, 唐守正, 雷相东, 等. 林分择伐空间结构优化模型研究[J]. 林业科学, 2004, 40(5): 25-31.
[21]	陈昌雄, 刘健, 余坤勇, 等. 基于空间结构优化的马尾松阔叶树混交林模拟采伐[J]. 西南林学院学报, 2010, 30(6): 29-32, 37.
[22]	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.
[23]	董灵波, 刘兆刚. 樟子松人工林空间结构优化及可视化模拟[J]. 林业科学, 2012, 48(10): 77-85.
[24]	赵中华, 袁士云, 惠刚盈, 等. 经营措施对林分空间结构特征的影响[J]. 西北农林科技大学学报, 2008, 36(7): 135-142.

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Quantitative Analysis of Forest Spatial Structure and Optimal Species Composition for the Main Forest Types in Daxing'anling, Northeast China

1. Forestry College, Northeast Forestry University, Harbin 150040, Heilongjiang, China

Received Date: 2013-11-26

Abstract: Forest health management is one of the research hotspots at the present stage, and the key is to maintain and create the optimal forest spatial structure. The forest spatial structure (FSS) and optimal species composition were studied with the commonly-used forest spatial structure parameters (i.e. mingling, neighborhood comparison, neighborhood pattern, forest spatial structure index (FSSI), and forest spatial structure distance (FSSD)) based on the data of 44 plots in Daxing'anling Mountains of northeast China, which were collected in the 2011 and 2012. The results showed that the horizontal distribution pattern of natural Larix gmelini (LG), coniferous mixed (CM) and coniferous-broadleaved mixed (CBM) stands mainly followed the random distribution, and the Betula platyphylla (BP) natural forest followed the typical cluster distribution. The tree growth of the four forest types were moderate as a whole,in which L. gmelini was at the dominant position and the others species were squeezed with different degrees. And the mixed degree of L. gmelini was reduced with the increase of its dominance, the other species had a higher mixed degree of species. As a whole, the mixed degree of species for LG and BP forest were relative lower (0.20 and 0.07), but the two mixed forest types were higher (0.45 and 0.56). Significant difference of FSS was found among the four main forest types in study area, the order was CBM>CM>LG>BP. From the viewpoint of maintaining and creating the optimal forest spatial structure, it was found that the proportion of L. gmelini accounted for 80% of the whole forest was the optimal species composition for the LG forest.

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Reference (24)

[1]	国家林业局. 国家森林资源连续清查技术规定[M]. 北京:国家林业局, 2004.
[2]	赵中华, 惠刚盈. 基于林分状态特征的森林自然度评价——以甘肃小陇山林区为例[J]. 林业科学, 2011,47(2): 9-16.
[3]	国家林业局. 中国森林可持续经营标准与指标(LY/T 1594-2002)[M]. 北京:中国标准出版社, 2003.
[4]	惠刚盈,Gadow K V,Matthias A. 角尺度——一个描述林木个体分布格局的结构参数[J]. 林业科学, 1999, 35(1): 37-42.
[5]	惠刚盈,胡艳波. 混交林树种空间隔离程度表达方式的研究[J]. 林业科学研究, 2001, 14(1): 23-27.
[6]	惠刚盈,Gadow K V,Matthias A. 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.
[7]	Lewandowski A U, Gadow K V. Ein heuristischer Ansatz zur reproduktion von Waldbestnden[J]. Allgemeine Forest und Jagdzeitung, 1997, 168(9): 170-174.
[8]	惠刚盈. 基于相邻木关系的林分空间结构参数应用研究[J]. 北京林业大学学报, 2013, 35(4): 1-8.
[9]	赵中华, 惠刚盈, 胡艳波, 等. 结构化森林经营方法在阔叶红松林中的应用[J]. 林业科学研究, 2013, 26(4): 467-472.
[10]	Aguirre O, Hui G Y, Gadow K V, et al. An analysis of spatial forest structure using neighbourhood-based variables [J]. Forest Ecology and Management, 2003, 183: 137-145.
[11]	Pommerening A. Evaluating structure indices by reversing forest structure analysis [J]. Forest Ecology and Management, 2006, 224: 266-277.
[12]	汪平, 贾雷明, 魏松坡, 等. 基于Voronoi图的侧柏游憩林空间结构分析[J]. 北京林业大学学报, 2013, 35(2): 39-44.
[13]	汤孟平, 徐文兵, 陈永刚, 等. 毛竹林空间结构优化调控模型[J]. 林业科学, 2013, 49(1): 120-125.
[14]	王铁牛. 长白山云冷杉针阔混交林经营模式研究[D]. 北京:北京林业大学, 2005.
[15]	乌吉斯古楞. 长白山过伐林区云冷杉针叶混交林经营模式研究[D]. 北京:北京林业大学, 2010.
[16]	惠刚盈, Gadow K V, 胡艳波. 林分空间结构参数角尺度的标准角选择[J]. 林业科学研究, 2004, 17(6):687-692.
[17]	董灵波, 刘兆刚, 倪宝龙, 等. 天然林林分空间结构综合指数研究[J].北京林业大学学报,2013,35(1):16-22.
[18]	孙家宝, 张海林, 胡海清. 火干扰强度对兴安落叶松林物种组成及多样性的影响[J]. 森林工程, 2009, 25(6): 1-5.
[19]	倪宝龙, 刘兆刚. 不同强度火干扰下盘古林场天然落叶松林的空间结构[J]. 生态学报, 2013, 33(16): 4975-4984.
[20]	汤孟平, 唐守正, 雷相东, 等. 林分择伐空间结构优化模型研究[J]. 林业科学, 2004, 40(5): 25-31.
[21]	陈昌雄, 刘健, 余坤勇, 等. 基于空间结构优化的马尾松阔叶树混交林模拟采伐[J]. 西南林学院学报, 2010, 30(6): 29-32, 37.
[22]	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.
[23]	董灵波, 刘兆刚. 樟子松人工林空间结构优化及可视化模拟[J]. 林业科学, 2012, 48(10): 77-85.
[24]	赵中华, 袁士云, 惠刚盈, 等. 经营措施对林分空间结构特征的影响[J]. 西北农林科技大学学报, 2008, 36(7): 135-142.

Quantitative Analysis of Forest Spatial Structure and Optimal Species Composition for the Main Forest Types in Daxing'anling, Northeast China

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通讯作者: 陈斌, bchen63@163.com

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Quantitative Analysis of Forest Spatial Structure and Optimal Species Composition for the Main Forest Types in Daxing'anling, Northeast China

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