CAJ | 학술논문

以燕山地区华北落叶松人工林为研究对象，在收集大量临时样地和解析木资料的基础上，筛选出合适的数据，根据承德市隆化县林管局、木兰林管局和塞罕坝机械林场3个地方的地区特征引入哑变量的概念，利用非线性回归的方法对华北落叶松人工林胸径、树高、材积生长过程进行拟合，结果显示3个地区华北落叶松人工林的胸径、树高、材积生长量没有显著差异。基于哑变量建立了3个地区华北落叶松人工林的胸径、树高、材积生长模型。结果表明：含有哑变量的Schumacher模型对华北落叶松人工林胸径、树高生长过程的拟合效果最好，决定系数R2分别达到了0．9941和0．9929，残差平方和分别为4．7339和6．8849；含有哑变量的二次函数对华北落叶松人工林的材积生长过程拟合最好，决定系数R2为0．9928，残差平方和为0．0023。通过对所建立生长模型的适应性检验，结果表明残差分布比较均匀，预估精度都达到95％以上，说明模型的预估效果比较好。
이연산지구화북락협송인공림위연구대상，재수집대량림시양지화해석목자료적기출상，사선출합괄적수거，근거승덕시륭화현림관국、목란림관국화새한패궤계림장3개지방적지구특정인입아변량적개념，이용비선성회귀적방법대화북락협송인공림흉경、수고、재적생장과정진행의합，결과현시3개지구화북락협송인공림적흉경、수고、재적생장량몰유현저차이。기우아변량건립료3개지구화북락협송인공림적흉경、수고、재적생장모형。결과표명：함유아변량적Schumacher모형대화북락협송인공림흉경、수고생장과정적의합효과최호，결정계수R2분별체도료0．9941화0．9929，잔차평방화분별위4．7339화6．8849；함유아변량적이차함수대화북락협송인공림적재적생장과정의합최호，결정계수R2위0．9928，잔차평방화위0．0023。통과대소건립생장모형적괄응성검험，결과표명잔차분포비교균균，예고정도도체도95％이상，설명모형적예고효과비교호。
Larix principis-rupprechtii plantations were selected as study example in Yanshan region .On the basis of mass data about temporary sample plots and analytical trees , screened appropriate data , the concept of dummy variable was introduced ac-cording to the different areas character of Longhua County , Weichang County and Saihanba Machine Forest Farm .Nonlin-ear regression was used to simulate the models of DBH , tree height and volume of L.principis-rupprechtii plantations .The increments of DBH , tree height and volume with dummy variable of Larix principis-rpu prechtii plantations had no significant difference in the three regions .The growth models of DBH ,tree height and volume were established based on dummy varia -ble.The dummy variable Schumacher equation was the best model of the DBH and tree height , the determination coeffi-cient R2 , respectively, achieved 0.994 1 and 0.992 9, the residual sum of squares achieved 4.733 9 and 6.884 9, the dum-my variable quadratic function was the best model of the volume with the determination coefficient R2 of 0.992 8, and the residual sum of squares of 0.002 323.With the independent test of established models , the residuals distributed equality and the accuracy was above 95%.