长白落叶松叶面积回归模型及比叶面积估计
Needle area regression model and specific leaf area estimation of Larix olgensis
投稿时间:2018-12-26  修订日期:2019-03-18
DOI:
中文关键词:  长白落叶松  叶面积模型  比叶面积  WinSEEDLE
英文关键词:Leaf area model  Specific leaf area  Larix olgensis  WinSEEDLE
基金项目:全国森林经营科技支撑科研专项任务“吉林汪清试点采育兼顾作业法研究及示范”(基金号:169201531-1)
作者单位E-mail
解雅麟 北京林业大学 xieyalin93@163.com 
雷相东 中国林业科学研究院资源信息研究所 xdlei@caf.ac.cn 
王海燕 北京林业大学  
秦倩倩 北京林业大学  
李翔 北京林业大学  
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中文摘要:
      [目的]以吉林省汪清林业局金沟岭林场40株10~40年生长白落叶松健康针叶为研究对象,建立叶面积回归模型并估计其比叶面积。[方法]通过WinSEEDLE种子和针叶图像分析系统获取长白落叶松50束共150针的针叶面积、长度、宽度以及周长,再分别烘干至恒重获得叶片干质量。建立以叶长L、叶宽W、叶周长P和叶片干质量X为自变量,叶面积LA为因变量的一元、二元和三元线性、指数和幂函数回归模型,并用平均误差、总体相对误差、平均系统误差、平均预估误差和均方根误差等统计量来评价模型误差和拟合优度。采用算术平均法、比估计法和最小二乘法计算比叶面积,并对3种方法的方差进行比较,获取最优估算值。[结果]一元、二元和三元模型均以指数函数最佳,模型分别为LA=5.929e1.313W(R2=0.858),LA=6.194e(0.023L+0.637W)(R2=0.936)和LA=6.445e(0.021L+0.598W+18.067X)(R2=0.941)。[结论]算术平均法获取的比叶面积的精度最高,该方法得到的长白落叶松的比叶面积为8.026 m2·kg-1。
英文摘要:
      [Objective] A total of 50 healthy clusters about 150 needles were sampled from 40 Larix olgensis trees at the age of 10 to 40a in the Jingouling Forest Farm of Wangqing Forestry Bureau, Jilin Province for the establishment of leaf area regression models and estimation of specific leaf area. [Method] The needle area, needle length, needle width and needle perimeter were obtained using WinSEEDLE software, and then dried to a constant weight to obtain the needle dry mass. The unitary, binary and ternary regression models were established with needle length (L), needle width (W), needle perimeter (P) and needle dry mass (M) as independent variables and needle area (LA) as a dependent variable. Linear, exponential and power function models were used for fitting. The mean error, total relative error, mean system error, mean prediction error and root mean square error were used to verify the errors and evaluate the goodness of model fitting. The variance of arithmetic average method, ratio estimation method and the least square method was compared to obtain the specific leaf area of Larix olgensis. [Result] LA=5.929e1.313W (R2=0.858), LA=6.194e(0.023L+0.637W (R2=0.936) and LA=6.445e(0.021L+0.598W+18.067X) (R2=0.941) were proved to be the best unitary, binary and ternary regression models. [Conclusion] The arithmetic average method was the best for specific leaf area estimation of Larix olgensis which was 8.026 m2·kg-1.
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