【摘要】 利用第六次至第九次全国森林资源清查河北省2001,2006,2011,2016年4个年度的固定样地调查数据,采用非线性回归估计方法,建立了18个树种组的单木胸径生长率和材积生长率模型,以及12个树种组的林分材积生长率模型。结果表明,单木生长率模型的平均预估误差(MPE)基本都在3%以内,而平均百分标准误差(MPSE)、胸径生长率模型大都在10%以内,材积生长率模型大都在20%左右;林分生长率模型的平均预估误差(MPE)基本都在5%以内,平均百分标准误差(MPSE)大都在25%以内。所建模型可为河北省开展森林资源年度更新提供技术支撑。更多还原

【Abstract】 Based on the data of permanent plots measured in 2001,2006,2011,2016 in Hebei province from the 6^th to 9^th national forest inventories of China,tree-level dbh（diameter at breast height）growth rate and volume growth rate models for 18 tree species and stand-level volume growth rate models for 12 tree species group were developed using nonlinear regression method.The results show that the MPEs（mean prediction errors）of the tree-level models are almost less than 3%,and the MPSEs（mean percent standard errors）are almost less than 10% for dbh growth rate models and less than 20% for volume growth rate models.For stand-level volume growth rate models,the MPEs are almost less than 5%,and the MPSEs are almost less than 25%.The models developed in this study can provide technical basis for implementing annual updating of forest resource data in Hebei province.更多还原