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The Influence of Forest-layer on the Individual Growth of Main Species in the Broad-leaved Secondary Forest in Southern Jiangxi

  • Hongsheng LIU ,
  • Hao ZANG ,
  • Jincheng HUANG ,
  • Qi LI ,
  • Xunzhi OUYANG ,
  • Chunhua WEI ,
  • Jinkui NING
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  • 1. Forestry Bureau of Chongyi,Ganzhou 341300,China
    2. College of Forestry,Jiangxi Agricultural University,Nanchang 330045,China

Received date: 2020-06-29

  Revised date: 2020-07-09

  Online published: 2020-10-10

Abstract

Broad-leaved secondary forest is one of the important forest types in the south of Jiangxi Province,and its quality affects forest functions.This study took the broad-leaved secondary forest in southern Jiangxi as the research object,selected two types of broad-leaved secondary forests after multi-function forest management,and studied the response rule of the average annual growth rate of the dominant tree species in different forest layers to different management modes.The main conclusions are as follows:(1) after three years of operation,the average basal ares growth of the operational and comparative lands did not grow significantly,Pr(>F)=0.188;(2) forest layer is an important index that affects the growth of broadleaved secondary forests.In the main forest layer,the average annual growth of the basal area was the highest,followed by the middle forest layer,and the under forest layer was generally lower.(3) The cumulative basal area of dominant tree species such as Castanopsis carlesii,C.chinensis,Schima superba,C.fargesii and so on is large,and its growth is obviously higher than other tree species.This study can provide the basis and reference for improving the forest quality of broad-leaved secondary forest.

Cite this article

Hongsheng LIU , Hao ZANG , Jincheng HUANG , Qi LI , Xunzhi OUYANG , Chunhua WEI , Jinkui NING . The Influence of Forest-layer on the Individual Growth of Main Species in the Broad-leaved Secondary Forest in Southern Jiangxi[J]. Forest and Grassland Resources Research, 2020 , 0(4) : 28 -33 . DOI: 10.13466/j.cnki.lyzygl.2020.04.005

References

[1] 孟宪宇. 测树学[M]. 3版.北京: 中国林业出版社, 2006: 50, 74.
[2] Peter Bettinger, Kevin Boston, Jacek P.Siry,et al.Forest Management and Planning(2nd edition)[M]. Holand: Academic Press.Elsevier Inc., 2017.
[3] 栾奎志, 刘兆刚. 帽儿山天然次生林区色木胸高断面积生长模型的研究[J].防护林科技, 2012(4):18-21.
[4] 张雄清, 雷渊才, 陈新美, 等. 组合预测法在林分断面积生长预估中的应用[J]. 北京林业大学学报, 2010,32(4):6-11.
[5] Zingg A. Diameter and Basal Area Increment in Permanent Growth and Yield Plots in Switzerland[Z]. Springer Berlin Heidelberg:Growth Trends in European Forests, 1996.
[6] West P W. Use of diameter increment and basal area increment in tree growthstudies[J]. Canadian Journal of Forest Research, 1980,10(1):71-77.
[7] 盛炜彤. 我国应将天然次生林的经营放在重要位置[J].林业科技通讯, 2016(2):10-13.
[8] 项文化, 方晰. 亚热带次生林群落结构与土壤特征[M]. 北京: 科学出版社, 2018: 31-71.
[9] 陆元昌, 刘宪钊, 等. 多功能人工林经营技术指南[M]. 北京: 中国林业出版社, 2014.
[10] 谢阳生, 陆元昌, 刘宪钊, 等. 多功能森林经营方案编制技术及案例[M]. 北京: 中国林业出版社, 2019.
[11] 庄崇洋, 黄清麟, 马志波, 等. 中亚热带天然阔叶林林层划分新方法——最大受光面法[J]. 林业科学, 2017,53(3):1-11.
[12] 臧颢, 刘洪生, 黄锦程, 等. 天然阔叶林林分蓄积估算研究——以赣南槠栲林为例[J]. 江西农业大学学报, 2019,41(1):90-98.
[13] Latham P A, Zuuring H R, Coble D W. A method for quantifying vertical forest structure[J]. Forest Ecology and Management, 1998,104(1):157-170.
[14] 赵丽娟, 项文化, 李家湘, 等. 中亚热带石栎-青冈群落物种组成、结构及区系特征[J]. 林业科学, 2013,49(12):10-17.
[15] 闫明准, 刘兆刚. 帽儿山地区次生林椴树单木胸高断面积生长模型的研究[J]. 森林工程, 2009,25(2):1-4.
[16] Wyckoff P H, Clark J S. Tree growth prediction using size and exposed crown area[J]. Canadian Journal of Forest Research, 2005,35(1):13-20.
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