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林业资源管理 ›› 2017›› Issue (2): 28-33.doi: 10.13466/j.cnki.lyzygl.2017.02.006

• 科学研究 • 上一篇    下一篇

马尾松宏观尺度单木生长模型研究

刘四海1(), 曾伟生2()   

  1. 1. 湖北省崇阳县国营桂花林场,湖北 崇阳 437524
    2. 国家林业局调查规划设计院,北京 100714
  • 收稿日期:2017-02-05 修回日期:2017-03-24 出版日期:2017-04-28 发布日期:2020-10-10
  • 通讯作者: 曾伟生
  • 作者简介:刘四海(1964-),男,湖北崇阳人,工程师,主要从事林业生产与森林经营工作。Email: 1694280017@qq.com
  • 基金资助:
    国家自然科学基金项目(31370634)

Large-scale Individual Tree Growth Models for Pinus massoniana in China

LIU Sihai1(), ZENG Weisheng2()   

  1. 1. Guihua State Forest Farm of Chongyang County,Chongyang 437524 Hubei,China
    2. Academy of Forest Inventory and Planning,SFA,Beijing 100714,China
  • Received:2017-02-05 Revised:2017-03-24 Online:2017-04-28 Published:2020-10-10
  • Contact: ZENG Weisheng

摘要:

林木生长模型是预测森林未来发展、评估生产潜力的定量依据。以我国南方主要针叶树种马尾松(Pinus massoniana)为对象,利用在马尾松分布范围内收集的代表性样本,建立全国尺度的胸径和树高单木生长模型,并分析生长模型是否受地域和起源的影响。结果表明:马尾松胸径的生长过程仅与地域有关而与起源无关,而树高的生长过程则受到地域和起源的双重影响;所建胸径和树高总体平均生长模型,确定系数分别为0.79和0.71,平均预估精度均在96%以上;包含地域和起源因子的胸径和树高生长模型,比总体平均模型有显著改进,其确定系数分别达到0.83和0.74,平均预估精度均进一步提高。所建生长模型为在宏观尺度上预测马尾松林的蓄积量、生物量和碳储量提供了定量参考依据。

关键词: 马尾松, 生长模型, Logistic函数, 哑变量, 地域, 起源

Abstract:

Individual tree growth models are quantitative basis for predicting forest development and evaluating productivity potential in the future.Based on the mensuration data of sample trees of Masson pine (Pinus massoniana) in southern China,individual tree diameter and height growth models on national level were developed,and effects of region and origin on growth models were analyzed.The results showed that diameter growth model of Masson pine was only related to region,whereas height growth model was affected by both region and origin;coefficients of determination (R 2) of the developed population average (PA) diameter and height growth models were 0.79 and 0.71 respectively,and mean prediction precisions were more than 96%;R 2 of the diameter and height growth models with region and origin in variables were 0.83 and 0.74 respectively,and mean prediction precisions were all improved,indicating that the models were significantly better than the PA models.The growth models developed in this study could provide quantitative basis for forecasting stock volume,biomass and carbon storage of Masson pine forest on large scale.

Key words: Pinus massoniana, growth model, Logistic function, dummy variable, region, origin

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