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基于生长模型的林地“一张图”林分因子更新研究
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  • 英文篇名:Study of Data Updating for Forestry Land Resources on Single Map Based on Growth Model
  • 作者:吴恒 ; 朱丽艳 ; 刘智军 ; 吴雪琼
  • 英文作者:WU Heng;ZHU Liyan;LIU Zhijun;WU Xueqiong;Kunming Survey & Design Institute of National Forestry and Grassland Administration;
  • 关键词:林地“一张图” ; 生长模型 ; 因子更新 ; 优化算法 ; 模型链接
  • 英文关键词:forestry land resources on single map;;growth model;;data updating;;optimal algorithm;;model linkage
  • 中文刊名:林业资源管理
  • 英文刊名:Forest Resources Management
  • 机构:国家林业和草原局昆明勘察设计院;
  • 出版日期:2019-05-27 09:22
  • 出版单位:林业资源管理
  • 年:2019
  • 期:02
  • 基金:国家林业和草原局昆明勘察设计院项目“林地‘一张图'蓄积量更新研究”(2014071501)
  • 语种:中文;
  • 页:75-81+110
  • 页数:8
  • CN:11-2108/S
  • ISSN:1002-6622
  • 分类号:S757
摘要
林地"一张图"是森林资源管理体系的重要平台,运用林分生长模型对林地"一张图"林分因子更新具有现实意义。基于昆明市第4次森林资源二类调查数据,建立了24个树种(组)林分生长模型,通过模型链接实现林分平均树高、平均胸径、每公顷株数、每公顷蓄积和平均蓄积生长量的过程动态模拟。树高生长模型拟合优度R~2介于0.21~0.64之间,胸径生长模型拟合优度R~2介于0.37~0.78之间,蓄积生长模型拟合优度R~2介于0.44~0.92之间;林分生长模型反演昆明市有林地蓄积量预测值与观测值相差37万m~3,云南省蓄积平均生长率反演昆明市有林地蓄积量预测值与观测值相差291万m~3。建立的24个树种(组)林分生长模型,能满足林地"一张图"林分因子更新要求,能动态掌握森林资源消长变化,可为林业政策的制定提供依据。
        Single map of forestry land resources is important for forest resources management.Application of stand growth model in updating stand factors of forest resources is meaningful in forest management practices.24 growth models were established based on data set of 4 th forest resources survey in Kunming,which illustrate dynamic growth process of average stand height,DBH,number of trees per hectare,volume per hectare and mean increment of volume by model link.Fitting goodness of height growth is between 0.21 and 0.64.Fitting goodness of DBH growth is between 0.37 and 0.78.Fitting goodness of volume growth per hectare is between 0.44 and 0.92.There is a difference of 0.37 million cubic meters between predictions through stand growth model and observations.There is a difference of 2.91 million cubic meters between predictions through volume growth rate in Yunnan province and observations.24 models for different tree species could meet the requirement of data updating for single map of forestry land,which could provide support for policy making in forest management by mastering fluctuation of forest resources.
引文
[1] 许等平,李晖,庞丽杰,等.全国林地“一张图”数据库建设及扩展应用[J].林业资源管理,2015(5):36-43.
    [2] Means J E,Acker S A,Fitt B J,et al.Predicting forest stand characteristics with airborne scanning lidar[J].Photogrammetric Engineering & Remote Sensing,2000,66(11):1367-1371.
    [3] 李崇贵,赵宪文,李春干.森林蓄积量遥感估测理论与实现[M].北京:科学出版社,2006.
    [4] Weiskittel A R,Hann D W,Kershaw Jr J A.Forest Growth and Yield Modeling[M].Wiley,2011.
    [5] 曾伟生,蒲莹,杨学云.再论全国森林资源年度出数方法[J].林业资源管理,2015(6):10-15.
    [6] 吴达胜.基于多源数据和神经网络模型的森林资源蓄积量动态监测[D].杭州:浙江大学,2014.
    [7] 谭炳香,杜纪山.遥感与GIS相结合的森林资源信息更新与制图方法研究[J].林业科学研究,2001(6):692-696.
    [8] 唐守正,李希菲,孟昭和.林分生长模型研究的进展[J].林业科学研究,1993(6):672-679.
    [9] 吴恒,朱丽艳,李华,等.昆明市4个主要针叶树种林分断面积生长模型研究[J].西南林业大学学报:自然科学,2018,38(4):119-125.
    [10] 印红群.森林资源蓄积量监测模型研究——以浙江省台州市黄岩区为例[D].临安:浙江农林大学,2013.
    [11] 卢志伟,李清顺.用林分生长模型更新松树小班平均胸径和树高因子研究[J].西南林学院学报,2010(4):6-10.

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