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马尾松人工林密度控制图及密度预警研究
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  • 英文篇名:Development and application of density management diagram for Pinus massoniana plantation
  • 作者:王建军 ; 陆元昌 ; 赵秀海 ; 孟京辉 ; 向玮
  • 英文作者:Wang Jianjun;Lu Yuanchang;Zhao Xiuhai;Meng Jinghui;Xiang Wei;Research Center of Forest Management Engineering of State Forestry Administration,Beijing Forestry University;Institute of Forest Resource and Information Techniques, Chinese Academy of Forestry;
  • 关键词:马尾松人工林 ; 自然稀疏 ; 密度控制图 ; 密度预警图
  • 英文关键词:Pinus massoniana plantation;;self-thinning;;stand density management diagram;;density warning diagram
  • 中文刊名:BJLY
  • 英文刊名:Journal of Beijing Forestry University
  • 机构:北京林业大学国家林业局森林经营工程技术研究中心;中国林业科学研究院资源信息研究所;
  • 出版日期:2019-05-15
  • 出版单位:北京林业大学学报
  • 年:2019
  • 期:v.41
  • 基金:国家重点研发计划(2016YFD060020501)
  • 语种:中文;
  • 页:BJLY201905003
  • 页数:7
  • CN:05
  • ISSN:11-1932/S
  • 分类号:35-41
摘要
【目的】密度控制图是一个集设计、展示、评价不同经营措施的有效工具,为同龄林经营提供决策依据。本研究首先是构建热林中心马尾松人工林密度控制图,并在此基础上对马尾松林分密度进行评估,进而构建密度预警图,并根据预警图提出相应的森林经营建议。【方法】以广西壮族自治区热林中心的马尾松人工林为研究对象,基于2011年建立的238块固定样地调查数据以及2013年和2015年的复测数据,采用Reineke自然稀疏方程,构建马尾松密度控制图,基于最优密度的上下限以及二类调查数据,构建马尾松人工林的密度预警图。【结果】基于最优密度上下限、优势高模型、材积模型以及地位指数模型构建了热林中心马尾松人工林的密度控制图;根据密度控制图和现有林分的密度情况,构建了热林中心密度预警图,基于此提出了相应的经营建议。【结论】本研究将热林中心马尾松分为高密度林分,低密度林分以及合理密度的林分,并根据林分所处的状态提出不同的经营建议。高密度的林分,采用疏伐的措施,将林分引向最优密度区间;低密度的林分,采取补植珍贵树种的方式,促使林分朝着合理密度方向发展,落入合理区间的林分,不采取任何与密度调控相关的经营措施,使林分按照原来的经营模式发展,为热林中心马尾松人工林的可持续经营提供决策支持。
        [Objective] Stand density management diagram(SDMD) is an effective tool for designing,displaying and evaluating different management measures, and hence provides decision support for evenaged forest management. The objective of this study was first to construct a SDMD for Pinus massoniana plantation for the Tropical Research Center(TRC). Second, based on the SDMD, the stand density of TRC was evaluated and an early warning diagram(EWD) of stand density was further produced with relevant management suggestions. [Method] The data used in this present study consists of 238 permanent sample plots, which were established in 2011 and re-measured in 2013 and 2015. The Reineke self-thinning equation was used to develop the SDMD. Based on the SDMD, the EWD for TRC was produced using the forest management planning data. [Result] Based on the optimal density upper and lower limits, dominant height model, volume model and site index model, we constructed the SDMD for Pinus massoniana plantation in TRC. According to the SDMD and the stand density, the EWD was constructed and the management suggestions were provided. [Conclusion] In this study, we divided the Pinus massoniana plantation in TRC into three different stands, i.e., high-density stands, low-density stands and the optimal density stands. For the three different stands, different management strategies were proposed. For highdensity stand, we can conduct the thinning operations to decrease the density and achieve optimal density stands conversion. For low-density stands, the management measures of replanting precious tree can be conducted, which could contribute to the development of reasonable density. Compared with the above two stands, the optimal density stands could not be conducted any management strategies, which can support the formulation of the Pinus massoniana plantation management strategies.
引文
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