Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.03.051 |
Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey | |
Ozcelik, Ramazan1; Cao, Quang V.2; Trincado, Guillermo3; Gocer, Nilsun4 | |
2018-07-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2018 |
卷号 | 419页码:240-248 |
文章类型 | Article |
语种 | 英语 |
国家 | Turkey; USA; Chile |
英文摘要 | Height-diameter models were developed for Brutian pine (Pinus brutia Ten.) and Taurus cedar (Cedrus libani A. Rich.) in Turkey. A modified Chapman-Richards model that includes dominant height was used to predict tree height from diameter. Using the twofold evaluation scheme, five alternative modeling approaches were evaluated: (1) fixed-effects model, (2) calibrated fixed-effects model, (3) calibrated mixed-effects model, (4) three-quantile regression method, and (5) five-quantile regression method. Parameters of fixed-effects, mixed-effects and quantile regression models were calibrated by use of a subset of height measurements, ranging from 1 to 10 sample trees per plot. Evaluation statistics show that both quantile regression models produced similar results, and that the mixed-effects model approach yielded the best results in predicting tree heights. Model performance improved with increasing sample size; but gains in performance generally increased at a decreasing rate. A sample size of four trees per plot appears to be a good compromise between sampling cost and predictive accuracy and precision. |
英文关键词 | Chapman-Richards Calibration Brutian pine Taurus cedar Sampling effort |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000432498900024 |
WOS关键词 | DOUGLAS-FIR ; AGED STANDS ; EQUATIONS ; FORESTS ; PLANTATIONS ; PINE ; STRATEGIES ; SPREAD ; SPRUCE ; SPAIN |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/22530 |
专题 | 气候变化 |
作者单位 | 1.Suleyman Demirel Univ, Fac Forestry, East Campus, TR-32260 Isparta, Turkey; 2.Louisiana State Univ, Agr Ctr, Sch Renewable Resources, Baton Rouge, LA 70803 USA; 3.Univ Autral Chile, Fac Ciencias Forest & Recursos Nat, Inst Bosques & Soc, Valdivia, Chile; 4.Suleyman Demirel Univ, Grad Sch Nat & Appl Sci, East Campus, TR-32260 Isparta, Turkey |
推荐引用方式 GB/T 7714 | Ozcelik, Ramazan,Cao, Quang V.,Trincado, Guillermo,et al. Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey[J]. FOREST ECOLOGY AND MANAGEMENT,2018,419:240-248. |
APA | Ozcelik, Ramazan,Cao, Quang V.,Trincado, Guillermo,&Gocer, Nilsun.(2018).Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey.FOREST ECOLOGY AND MANAGEMENT,419,240-248. |
MLA | Ozcelik, Ramazan,et al."Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey".FOREST ECOLOGY AND MANAGEMENT 419(2018):240-248. |
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