Distribution Characteristics of Two Typical Natural Forest Spatial Structure Parameters in Xiaolongshan

ZHANG Gang-gang; WANG De-xiang; CHAI Zong-zheng; ZHANG Cong-shan; LIU Wen-zhen; ZHANG Song-zhi

Volume 28 Issue 4

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Distribution Characteristics of Two Typical Natural Forest Spatial Structure Parameters in Xiaolongshan

1.
College of Forestry, Northwest A & F University, Yangling 712100, Shaanxi, China
2.
Xiaolongshan Research Institute of Forestry of Gansu Province, Tianshui 741020, Gansu, China

Received Date: 2014-12-16

Abstract

Using univariate distribution, bivariate distribution, forest spatial structure index and distance, the structural characteristics of two typically natural forests located at Xiaolongshan of Gansu Province were analyzed. The results are as follows: (1) The average mingling value of Pinus tabuliformis natural forest was 0.397 and badly mixed, while Quercus aliena var. acuteserrata natural forest's was 0.797 and well segregated. The DBH dominances of P. tabuliformis and Q. aliena var. acuteserrata were 0.507 and 0.485 separately, the state of each forest belonged to medium. The average uniform angle index values of them were 0.511 and 0.508 respectively, both were random distribution. (2) In P. tabuliformis and Q. aliena var. acuteserrata natural forests, most trees with same mingling class or dominance degree were randomly distributed, and the trees with same mingling class or distribution pattern were basically equal at different dominance degrees. The main difference was that in P. tabuliformis natural forests, the trees with same dominance degree or distribution pattern were almost surrounded by the same species while In Q. aliena var. acuteserrata natural forest, they were well mixed. (3) In both P. tabuliformis and Q. aliena var. acuteserrata natural forest, the forest spatial structure index (FSSI) were 0.526 and 0.739 respectively, forest spatial structure distance (FSSD) were 0.788 and 0.576 separately, the spatial structure of the latter was better than that of the former obviously. The FSSI and FSSD had a very significant linear relationship, FSSD= -1.481 5×FSSI+1.625 7, R2=0.990 6 (P < 0.01), and strong consistency in terms of expression stand spatial structure. It can be concluded that the bivariate distribution, forest spatial structure index and distance can be used to quantitatively analyze the forest microstructure distribution characteristics from two different levels, and provide a new way to accurate structure adjustment for Xiaolongshan.
- Xiaolongshan,
- natural forest,
- univariate distribution,
- bivariate distribution,
- forest spatial structure index,
- forest spatial structure distance

References

[1]	安慧君.阔叶红松林空间结构研究[D].北京:北京林业大学,2003.
[2]	岳永杰,余新晓,李钢铁.北京松山自然保护区蒙古栎林的空间结构特征[J].应用生态学报,2009,20(8):1811-1816.
[3]	赵中华,惠刚盈,袁士云,等.小陇山锐齿栎天然林的树种多样性和结构特征[J].林业科学研究,2008,21(5):605-610.
[4]	赵中华,惠刚盈,袁士云,等.小陇山锐齿栎天然林空间结构特征[J].林业科学,2009,45(3):1-6.
[5]	袁士云,张宋智,刘文桢,等.小陇山辽东栎次生林的结构特征和物种多样性[J].林业科学,2010,46(5):27-34.
[6]	刘文桢,赵中华,惠刚盈,等.小陇山油松天然林结构特征[J].林业科学研究,2011,24(4):437-442.
[7]	李远发.林分空间结构参数二元分布的研究[D].北京:中国林业科学研究院,2013.
[8]	董灵波,刘兆刚,马妍,等.天然林林分空间结构综合指数的研究[J].北京林业大学学报,2013,35(1):16-22.
[9]	Wang M L, Rennolls K, Tang S Z.Bivariate distribution modeling of tree diameters and heights:Dependency modeling using copulas[J].Forest Science,2008, 54(3): 284-293.
[10]	Li Y F, Hui G Y, Zhao Z H, et al. The bivariate distribution characteristics of spatial structure in natural Korean pine broad-leaved forest[J].Journal of Vegetation Science, 2012, 23(6):1180-1190.
[11]	Li Y F, Hui G Y, Zhao Z H, et al. Spatial structural characteristics of three hardwood species in Korean pine broad-leaved forest-validating the bivariate distribution of structural parameters from the point of tree population[J].Forest Ecology and Management,2014, 314:17-25.
[12]	柴宗政,王得祥,张丽楠,等.秦岭山地天然林油松群落主要植物种群生态位特征[J].生态学杂志,2012,31(8):1917-1923.
[13]	蔺雨阳,王得祥,雷瑞德,等.秦岭西段天然油松种群的数量特征研究[J].水土保持研究,2009,16(4):180:185.
[14]	巨天珍,郝青,葛建团,等.甘肃小陇山锐齿栎林空间分布格局分析[J].林业资源管理,2010(4):17-30.
[15]	巨天珍,宋晓伟,师贺雄,等.小陇山国家级自然保护区油松林优势种群空间分布格局分析[J].干旱区资源与环境,2012,26(9):62-66.
[16]	巨天珍,米彩燕,贺师雄,等.小陇山国家级自然保护区油松种群更新及生存[J].山地学报,2012,30(1):36-40.
[17]	巨天珍,张彦文,葛建团,等.小陇山国家级自然保护区油松群落生态位研究[J].干旱区资源与环境,2013,27(4):171-175.
[18]	胡元洁,巨天珍,米彩燕,等.小陇山国家级自然保护区华山松种群更新动态分析[J].广西植物,2013,33(2):247-252.
[19]	惠刚盈,赵中华,胡艳波.结构化森林经营技术指南[M].北京:中国林业出版社,2010.107-113,126-128,140-143,147-150.
[20]	郝云庆,王金锡,王启和,等.柳杉人工林林分不同变量大小比数研究[J].应用生态学报, 2006,17(4):751-754.
[21]	张家城,陈力,郭泉水,等. 演替顶级阶段森林群落优势树种分布的变动趋势研究[J].植物生态学报,1999,23(3): 256-268.
[22]	周红敏,惠刚盈,赵中华,等.森林结构调查中最适样方面积和数量的研究[J].林业科学研究,2009,22(4):482-495.
[23]	马映栋,刘文桢,赵中华,等.小陇山锐齿栎林种群空间格局及关联性变化分析[J].西北植物学报,2014,34(9):1878-1886.
[24]	王蒙.甘肃小陇山主要植物种群动态与空间分布格局研究[D].兰州:西北师范大学,2012.
[25]	郭垚鑫,胡有宁,李刚,等,太白山红桦种群不同发育阶段的空间格局与关联性[J].林业科学,2014,50(1):9-14.
[26]	张健,郝占庆,宋波,等.长白山阔叶红松林中红松与紫椴的空间分布格局及其关联性[J].应用生态学报,2007,18(8):1681-1687.
[27]	Condit R, Ashton P S, Baker P, et al. Spatial patterns in the distribution of tropical species[J]. Science,2000, 288(5470):1414-1418.
[28]	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.
[29]	胡艳波.基于结构化森林经营的天然异龄林空间优化经营模型研究[D].北京:中国林业科学研究院,2010.

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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Distribution Characteristics of Two Typical Natural Forest Spatial Structure Parameters in Xiaolongshan

1. College of Forestry, Northwest A & F University, Yangling 712100, Shaanxi, China

2. Xiaolongshan Research Institute of Forestry of Gansu Province, Tianshui 741020, Gansu, China

Received Date: 2014-12-16

Abstract: Using univariate distribution, bivariate distribution, forest spatial structure index and distance, the structural characteristics of two typically natural forests located at Xiaolongshan of Gansu Province were analyzed. The results are as follows: (1) The average mingling value of Pinus tabuliformis natural forest was 0.397 and badly mixed, while Quercus aliena var. acuteserrata natural forest's was 0.797 and well segregated. The DBH dominances of P. tabuliformis and Q. aliena var. acuteserrata were 0.507 and 0.485 separately, the state of each forest belonged to medium. The average uniform angle index values of them were 0.511 and 0.508 respectively, both were random distribution. (2) In P. tabuliformis and Q. aliena var. acuteserrata natural forests, most trees with same mingling class or dominance degree were randomly distributed, and the trees with same mingling class or distribution pattern were basically equal at different dominance degrees. The main difference was that in P. tabuliformis natural forests, the trees with same dominance degree or distribution pattern were almost surrounded by the same species while In Q. aliena var. acuteserrata natural forest, they were well mixed. (3) In both P. tabuliformis and Q. aliena var. acuteserrata natural forest, the forest spatial structure index (FSSI) were 0.526 and 0.739 respectively, forest spatial structure distance (FSSD) were 0.788 and 0.576 separately, the spatial structure of the latter was better than that of the former obviously. The FSSI and FSSD had a very significant linear relationship, FSSD= -1.481 5×FSSI+1.625 7, R2=0.990 6 (P < 0.01), and strong consistency in terms of expression stand spatial structure. It can be concluded that the bivariate distribution, forest spatial structure index and distance can be used to quantitatively analyze the forest microstructure distribution characteristics from two different levels, and provide a new way to accurate structure adjustment for Xiaolongshan.

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Reference (29)

[1]	安慧君.阔叶红松林空间结构研究[D].北京:北京林业大学,2003.
[2]	岳永杰,余新晓,李钢铁.北京松山自然保护区蒙古栎林的空间结构特征[J].应用生态学报,2009,20(8):1811-1816.
[3]	赵中华,惠刚盈,袁士云,等.小陇山锐齿栎天然林的树种多样性和结构特征[J].林业科学研究,2008,21(5):605-610.
[4]	赵中华,惠刚盈,袁士云,等.小陇山锐齿栎天然林空间结构特征[J].林业科学,2009,45(3):1-6.
[5]	袁士云,张宋智,刘文桢,等.小陇山辽东栎次生林的结构特征和物种多样性[J].林业科学,2010,46(5):27-34.
[6]	刘文桢,赵中华,惠刚盈,等.小陇山油松天然林结构特征[J].林业科学研究,2011,24(4):437-442.
[7]	李远发.林分空间结构参数二元分布的研究[D].北京:中国林业科学研究院,2013.
[8]	董灵波,刘兆刚,马妍,等.天然林林分空间结构综合指数的研究[J].北京林业大学学报,2013,35(1):16-22.
[9]	Wang M L, Rennolls K, Tang S Z.Bivariate distribution modeling of tree diameters and heights:Dependency modeling using copulas[J].Forest Science,2008, 54(3): 284-293.
[10]	Li Y F, Hui G Y, Zhao Z H, et al. The bivariate distribution characteristics of spatial structure in natural Korean pine broad-leaved forest[J].Journal of Vegetation Science, 2012, 23(6):1180-1190.
[11]	Li Y F, Hui G Y, Zhao Z H, et al. Spatial structural characteristics of three hardwood species in Korean pine broad-leaved forest-validating the bivariate distribution of structural parameters from the point of tree population[J].Forest Ecology and Management,2014, 314:17-25.
[12]	柴宗政,王得祥,张丽楠,等.秦岭山地天然林油松群落主要植物种群生态位特征[J].生态学杂志,2012,31(8):1917-1923.
[13]	蔺雨阳,王得祥,雷瑞德,等.秦岭西段天然油松种群的数量特征研究[J].水土保持研究,2009,16(4):180:185.
[14]	巨天珍,郝青,葛建团,等.甘肃小陇山锐齿栎林空间分布格局分析[J].林业资源管理,2010(4):17-30.
[15]	巨天珍,宋晓伟,师贺雄,等.小陇山国家级自然保护区油松林优势种群空间分布格局分析[J].干旱区资源与环境,2012,26(9):62-66.
[16]	巨天珍,米彩燕,贺师雄,等.小陇山国家级自然保护区油松种群更新及生存[J].山地学报,2012,30(1):36-40.
[17]	巨天珍,张彦文,葛建团,等.小陇山国家级自然保护区油松群落生态位研究[J].干旱区资源与环境,2013,27(4):171-175.
[18]	胡元洁,巨天珍,米彩燕,等.小陇山国家级自然保护区华山松种群更新动态分析[J].广西植物,2013,33(2):247-252.
[19]	惠刚盈,赵中华,胡艳波.结构化森林经营技术指南[M].北京:中国林业出版社,2010.107-113,126-128,140-143,147-150.
[20]	郝云庆,王金锡,王启和,等.柳杉人工林林分不同变量大小比数研究[J].应用生态学报, 2006,17(4):751-754.
[21]	张家城,陈力,郭泉水,等. 演替顶级阶段森林群落优势树种分布的变动趋势研究[J].植物生态学报,1999,23(3): 256-268.
[22]	周红敏,惠刚盈,赵中华,等.森林结构调查中最适样方面积和数量的研究[J].林业科学研究,2009,22(4):482-495.
[23]	马映栋,刘文桢,赵中华,等.小陇山锐齿栎林种群空间格局及关联性变化分析[J].西北植物学报,2014,34(9):1878-1886.
[24]	王蒙.甘肃小陇山主要植物种群动态与空间分布格局研究[D].兰州:西北师范大学,2012.
[25]	郭垚鑫,胡有宁,李刚,等,太白山红桦种群不同发育阶段的空间格局与关联性[J].林业科学,2014,50(1):9-14.
[26]	张健,郝占庆,宋波,等.长白山阔叶红松林中红松与紫椴的空间分布格局及其关联性[J].应用生态学报,2007,18(8):1681-1687.
[27]	Condit R, Ashton P S, Baker P, et al. Spatial patterns in the distribution of tropical species[J]. Science,2000, 288(5470):1414-1418.
[28]	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.
[29]	胡艳波.基于结构化森林经营的天然异龄林空间优化经营模型研究[D].北京:中国林业科学研究院,2010.

Distribution Characteristics of Two Typical Natural Forest Spatial Structure Parameters in Xiaolongshan

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通讯作者: 陈斌, bchen63@163.com

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Distribution Characteristics of Two Typical Natural Forest Spatial Structure Parameters in Xiaolongshan

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