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Forest and Grassland Resources Research >

2022 , Vol. 0 >Issue 4: 164 - 171

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2022.04.021

Research Briefing

Study on the Influence of Stand Structure on Stand Growth of Oak Natural Forest in Hunan Province Based on Structural Equation Model

  • Xinjian LI ,
  • Ziduo YANG ,
  • Haimei HE ,
  • Ziyang QIU ,
  • Guangyu ZHU
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  • 1. Central South Forest Inventory and Planning Institute of National Forestry and Grassland Administration,Changsha 410014,China
    2. College of Forestry,Central South University of Forestry and Technology,Changsha 410004,China

Received date: 2022-06-07

  Revised date: 2022-07-22

  Online published: 2022-10-13

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Abstract

Taking Hunan oak natural forest as the research object,this paper adopted 22 stand structure indexes and 3 stand total average growth indexes (average height,basal area and volume),and used Pearson correlation analysis to screen key structural factors.On this basis,a structural equation model was constructed to explore the influence of stand structure on stand growth.The results showed that: 1) stand age had a very significant effect on the three growth indicators (P<0.001);2) Mixing degree and stand density had a significant effect on basal area growth (P<0.001);3) Mixing degree,variation coefficient of diameter at breast height and stand density had a very significant impact on the volume growth (P<0.001),and species composition had a significant impact on it (P<0.01),among them,mixing degree had the greatest impact,and the impact coefficient was as high as 0.515;4) Mixing degree,stand density and species composition indirectly affected the volume growth by directly affecting the basal area growth and the coefficient of variation of DBH size.The research shows that improving the mixing degree of stand species,reasonably controlling the distribution of stand density and tree size,and optimizing the composition of tree species can promote the growth of stand.

Key words： structural equation model; oak natural forest; stand structure; stand increment

Cite this article

Xinjian LI , Ziduo YANG , Haimei HE , Ziyang QIU , Guangyu ZHU . Study on the Influence of Stand Structure on Stand Growth of Oak Natural Forest in Hunan Province Based on Structural Equation Model[J]. Forest and Grassland Resources Research, 2022 , 0(4) : 164 -171 . DOI: 10.13466/j.cnki.lyzygl.2022.04.021

References

[1] 卢婧, 冯仲科. 运用随机森林模型对北京市林分蓄积生长量的预测[J]. 东北林业大学学报, 2020, 48(5):7-11.
[2] 高楠楠. 林分生长量的测定论述[J]. 现代园艺, 2018(9):74-75.
[3] 孟宪宇. 测树学[M]. 北京: 中国林业出版社, 2006.
[4] 黄小男. 六盘山华北落叶松人工林生物量对立地条件和林分结构的响应与模拟[D]. 北京: 北京林业大学, 2020.
[5] 龙俊松, 汤孟平. 天目山常绿阔叶林空间结构与地形因子的关系[J]. 浙江农林大学学报, 2021, 38(1):47-57.
[6] 王磊, 崔明, 刘玉国, 等. 岩溶区林分生长与影响因子的关系[J]. 浙江农林大学学报, 2020, 37(6):1036-1044.
[7] 汤景明. 鄂西南山地常绿落叶阔叶混交林恢复研究[D]. 北京: 北京林业大学, 2008.
[8] 张仕豪. 喀斯特石漠化植物群落演替规律与结构经营技术[D]. 贵阳: 贵州师范大学, 2020.
[9] Valbuena R, P Packalén, S Mart'N-Fernández, et al. Diversity and equitability ordering profiles applied to study forest structure[J]. Forest Ecology and Management, 2012, 276:185-195.
[10] Kint V, Meirvenne M V, Nachtergale L, et al. Spatial methods for quantifying forest stand structure development:a comparison between nearest-neighbor indices and variogram analysis[J]. Forest Science, 2003, 49(1):36-49.
[11] Gao Jie, Lv Chengyu, Liu Yanhong. Neutral and accumulator species in determining the spatial structure of tree species at different spatial scales[J]. Journal of Forestry Research, 2019, 30(6):199-207.
[12] 赵中华, 惠刚盈. 林分结构多样性研究进展[J]. 林业科学, 2020, 56(9):143-152.
[13] Miren del Rlo, Hans Pretzsch, Iciar Alberdi, et al. Characterization of the structure,dynamics,and productivity of mixed-species stands:review and perspectives[J]. European Journal of Forest Research, 2016, 135(1):23-49.
[14] 王帅玲. 湖南栎类次生林生长预估及林分收获表编制[D]. 长沙: 中南林业科技大学. 2021.
[15] 陈昊泓. 湖南栎类次生林林分结构及其对林下植被生物量的影响研究[D]. 长沙: 中南林业科技大学, 2020.
[16] 黄朗. 湖南栎类天然林更新特征及影响因子研究[D]. 长沙: 中南林业科技大学. 2019.
[17] 惠刚盈, 赵中华, 陈明辉. 描述森林结构的重要变量[J]. 温带林业研究, 2020, 3(1):14-20.
[18] 孙连荣. 结构方程模型(SEM)的原理及操作[J]. 宁波大学学报:教育科学版, 2005(2):31-34.
[19] 温忠麟, 侯杰泰, 张雷. 调节效应与中介效应的比较和应用[J]. 心理学报, 2005, 37(2):7.
[20] 程冀文. 近自然经营对森林林分生长的影响[D]. 呼和浩特: 内蒙古农业大学, 2021.
[21] 张毅锋. 天目山常绿阔叶林空间结构对林木生长量的影响研究[D]. 杭州: 浙江农林大学, 2021.
[22] 秦建华, Stephen J T, Huang Shongming. 林分生长与产量模型系统研究综述[J]. 林业科学, 2002(1):122-129.
[23] 刘铭波. 山西灵空山典型天然林空间结构特征及其对生产力的影响[D]. 北京: 北京林业大学, 2021.
[24] 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(4):4751-4754.
[25] 郭梦昭, 高露双, 范春雨. 物种多样性与生产力研究进展[J]. 世界林业研究, 2019, 32(3):18-23.
[26] 周健平. 基于结构方程模型的林分特征因子间耦合关系分析[D]. 哈尔滨: 东北林业大学, 2015.
[27] Chu C J, Weiner J, Maestre F T, et al. Positive interactions can increase size inequality in plant populations[J]. Journal of Ecology, 2009, 97(6):1401-1407.
[28] Loreau M, Naeem S, Inchausti P, et al. Biodiversity and ecosystem functioning:current knowledge and future challenges[J]. Science, 2001, 294(5543):804-808.
[29] 曹小玉, 李际平, 赵文菲, 等. 基于结构方程模型分析林分空间结构对草本物种多样性的影响[J]. 生态学报, 2020, 40(24):9164-9173.
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