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Some non-linear height–diameter models performance for mixed stand in forests in Northwest Iran

Some non-linear height–diameter models performance for mixed stand in forests in Northwest Iran

作     者:Roya ABEDI Tooba ABEDI Roya ABEDI;Tooba ABEDI

作者机构:Department of ForestryAhar Faculty of Agriculture and Natural ResourcesUniversity of TabrizAhar ***Iran Environmental Research InstituteAcademic Center for EducationCulture and ResearchRasht 41635-3114Iran 

出 版 物:《Journal of Mountain Science》 (山地科学学报(英文))

年 卷 期:2020年第17卷第5期

页      面:1084-1095页

核心收录:

学科分类:0709[理学-地质学] 0819[工学-矿业工程] 0907[农学-林学] 09[农学] 0303[法学-社会学] 090704[农学-森林经理学] 0708[理学-地球物理学] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0815[工学-水利工程] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0813[工学-建筑学] 0704[理学-天文学] 0833[工学-城乡规划学] 0713[理学-生态学] 0834[工学-风景园林学(可授工学、农学学位)] 

主  题:Arasbaran Forest inventory Height prediction Model validation Non-linear modeling Rank analysis 

摘      要:This study evaluated the total height of trees based on diameter at breast height by using 23 widely used height-diameter non-linear regression models for mixed-species forest stands consisting of Caucasian oak,field maple,and hornbeam from forests in Northwest Iran.1920 trees were measured in 6 sampling plots(every sampling plot has 1 ha area).The fit of the best height–diameter models for each species were compared based on R2,Root Mean Square Error(RMSE),Akaike information criterion(AIC),standard error,and relative ranking performance *** the final step,verification of results was performed by paired sample t-test to compare the observed height and estimated *** showed that among 23 height-diameter models,the best models were obtained from the top five ones including Modified-logistic,Prodan,Sibbesen,Burkhart,and *** between the actual observed height and estimated height for Caucasian oak showed that Modified–Logistic,Prodan,Sibbesen,Burkhart,and Exponential performed better than the others,respectively(There were no statistically significant differences between observed heights and predicted height(p≥0.05)).Prodan,Modified-Logistic,Burkhart,and Loetch evaluated field maple tree height correctly,and Modified-Logistic,Burkhart,and Loetch had better fitness compared to the others for hornbeam,*** other models were introduced as appropriate criteria,they could not reliably predict the height of *** the Rank analysis,the Modified-Logistic model for the Caucasian oak and Prodan model for field maple and hornbeam had the best ***,to complement the results of this study,it is suggested to assess how environmental factors such as elevation,climate parameters,forest protection policy and forest structure will modify height-diameter allometry models and will enhance the prediction accuracy of tree heights prediction in mixed stands.

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