期刊
CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE
卷 39, 期 3, 页码 655-665出版社
NATL RESEARCH COUNCIL CANADA-N R C RESEARCH PRESS
DOI: 10.1139/X08-205
关键词
-
类别
资金
- US Forest Service [04DG11010000037]
Diameter growth (DG) equations in many existing forest growth and yield models use tree crown ratio (CR) as a predictor variable. Where CR is not measured, it is estimated from other measured variables. We evaluated CR estimation accuracy for the models in two Forest Vegetation Simulator variants: the exponential and the logistic CR models used in the North Idaho (NI) variant, and the Weibull model used in the South Central Oregon and Northeast California (SO) variant. We also assessed the effects of using measured (CR(m)) versus predicted (CR(p)) crown ratio for predicting 10 year DG and 30 year basal area increment (BAI). Evaluation criteria included equivalence tests, bias, root mean square error, and Spearman's coefficient of rank correlation. Inventory data from the Winema and the Colville National Forests were used. Results showed that the NI variant models overpredicted CR when CR(m) was below 40% and underpredicted CR when it was above 60%, whereas the SO variant model overpredicted CR when CR(m) was smaller than 60%. Differences between CR(m) and CR(p) were positively correlated with differences in DG predictions. Using CR(m) versus CR(p) resulted in 30 year BAI absolute percent differences of 10% or less for more than 50% of the plots.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据