Some non-linear height-diameter models performance for mixed stand in forests in Northwest Iran
文献类型：期刊论文
| 作者 | Abedi, Roya; Abedi, Tooba |
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
 |
| 出版日期 | 2020 |
| 卷号 | 17期号:5页码:1096-1105 |
| 关键词 | Arasbaran Forest inventory Height prediction Model validation Non-linear modeling Rank analysis |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-019-5870-4 |
| 文献子类 | Article |
| 英文摘要 | 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 criteria. In the final step, verification of results was performed by paired sample t-test to compare the observed height and estimated height. Results showed that among 23 height-diameter models, the best models were obtained from the top five ones including Modified-logistic, Prodan, Sibbesen, Burkhart, and Exponential. Comparison 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, respectively. Although other models were introduced as appropriate criteria, they could not reliably predict the height of trees. Using the Rank analysis, the Modified-Logistic model for the Caucasian oak and Prodan model for field maple and hornbeam had the best performance. Finally, 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. |
| 电子版国际标准刊号 | 1993-0321 |
| 语种 | 英语 |
| WOS记录号 | WOS:000534803600005 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/46817]  |
| 专题 | Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.5 |
| 推荐引用方式 GB/T 7714 | Abedi, Roya,Abedi, Tooba. Some non-linear height-diameter models performance for mixed stand in forests in Northwest Iran[J]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(5):1096-1105. |
| APA | Abedi, Roya,&Abedi, Tooba.(2020).Some non-linear height-diameter models performance for mixed stand in forests in Northwest Iran.JOURNAL OF MOUNTAIN SCIENCE,17(5),1096-1105. |
| MLA | Abedi, Roya,et al."Some non-linear height-diameter models performance for mixed stand in forests in Northwest Iran".JOURNAL OF MOUNTAIN SCIENCE 17.5(2020):1096-1105. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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