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林业科学 ›› 2013, Vol. 49 ›› Issue (10): 54-57.doi: 10.11707/j.1001-7488.20131009

• 论文与研究报告 • 上一篇    下一篇

基于林木综合竞争的林分生长量分配模型

蒋娴1, 张怀清1, 鞠洪波1, 宋洁华2, 覃阳平1, 吴淑蕾2   

  1. 1. 中国林业科学研究院资源信息研究所 北京 100091;
    2. 海南师范大学地理与旅游学院 海口 571158
  • 收稿日期:2012-12-18 修回日期:2013-03-18 出版日期:2013-10-25 发布日期:2013-11-05
  • 通讯作者: 张怀清
  • 基金资助:

    国家自然科学基金项目(31170590,61163042);国家863计划课题(2012AA102202)。

Stand Growth Distribution Model Based on Individual Tree’s Integrated Competition

Jiang Xian1, Zhang Huaiqing1, Ju Hongbo1, Song Jiehua2, Qin Yangping1, Wu Shulei2   

  1. 1. Research Institute of Forestry Information Techniques, CAF Beijing 100091;
    2. Academy of Geography and Tour, Hainan Normal University Haikou 571158
  • Received:2012-12-18 Revised:2013-03-18 Online:2013-10-25 Published:2013-11-05

摘要:

以湖南省攸县黄丰桥林场杉木林分2008—2011年每木检尺调查结果为数据源,开展对开阔比数模型fO、简单竞争因子模型fH和竞争压力指数模型fCSI 的研究,提出一个新的林木综合竞争模型即竞争势模型fCi=1/(afOi+bfHi+cfCSIi),并以竞争势模型为依据将林分总体生长量分配到林木个体,构建林分生长量分配模型Gi=GTotal×fCi/。用回归分析法求得a=5.416 081 713,b=1.037 485 025,c=0.157 524 494,该模型标准误差为0.179 128 42,相关系数为0.966 704 535,可以满足本研究的精度要求。分别以该林场10块样地为例进行分析,发现该模型对于杉木人工纯林生长分配的拟合度较高,鹅掌楸人工纯林拟合度次之,混交林拟合度较差。结果表明该模型是适合于人工纯林的林分生长量分配模型。

关键词: 竞争, 林分综合竞争模型, 林分生长量分配模型

Abstract:

This paper studied the stand distribution model in terms of competition which could distribute the overall growth increment of a stand to each individual trees of the stand. Data, collected from a Chinese fir plantation in Huangfengqiao Forest Farm in Hunan province, were used to develop a stand distribution model with Open Comparison Model fO, Simple Competition Index Model fH, and Competition Pressure Index Model fCSI, then propounded a new model—Competition Index Model fCi=1/(afOi+bfHi+cfCSIi). After eliminated outliers, fC was used as a parameter to propound a Stand Growth Distribution Model to distribute the overall growth increment of stand to each individual trees in the stand, and the model is Gi=GTotal×fCi/. Regression analysis obtained a=5.416 081 713, b=1.037 485 025, c=0.157 524 494, with standard error of 0.179 128 42, and R2 of 0.966 704 535. Ten sample plots of the artificial stand were used to verify the model, and it was found that the model's precision was the best for Chinese fir artificial stands, was good for the Liriodendron chinense artificial stands, and was the worst for the mixed forest. Thus, the model is a good empirical model suitable for the artificial stand.

Key words: competition, stand comprehensive competition model, stand growth distribution model

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