文献类型：期刊文献

英文题名：Individual height-diameter models for young black spruce (Picea mariana) and jack pine (Pinus banksiana) plantations in New Brunswick, Canada

作者：Lei, Xiangdong[1,2] Peng, Changhui[2,4] Wang, Haiyan[3] Zhou, Xiaolu[2]

第一作者：雷相东;Lei, Xiangdong

通信作者：Peng, C.

机构：[1] Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China; [2] Institut des sciences de l'environnement, Département des sciences biologiques, Université du Québec à Montréal, Montréal [QC] H3C 3P8, Canada; [3] College of Soil and Water Conservation, Beijing Forestry University, Beijing, 100083, China; [4] Research Section of Ecology, Central-South University of Forestry and Technology, Changsha, 410004, China

年份：2009

卷号：85

期号：1

起止页码：43-56

外文期刊名：Forestry Chronicle

收录：EI(收录号：20092212099300)

语种：英文

外文关键词：Reforestation

摘要：Historically, height-diameter models have mainly been developed for mature trees; consequently, few height-diameter models have been calibrated for young forest stands. In order to develop equations predicting the height of trees with small diameters, 46 individual height-diameter models were fitted and tested in young black spruce (Picea mariana) and jack pine (Pinus banksiana) plantations between the ages of 4 to 8 years, measured from 182 plots in New Brunswick, Canada. The models were divided into 2 groups: a diameter group and a second group applying both diameter and additional stand- or tree-level variables (composite models). There was little difference in predicting tree height among the former models (Group I) while the latter models (Group II) generally provided better prediction. Based on goodness of fit (R2 and MSE), prediction ability (the bias and its associated prediction and tolerance intervals in absolute and relative terms), and ease of application, 2 Group II models were recommended for predicting individual tree heights within young black spruce and jack pine forest stands. Mean stand height was required for application of these models. The resultant tolerance intervals indicated that most errors (95%) associated with height predictions would be within the following limits (a 95% confidence level): [-0.54 m, 0.54 m] or [-14.7%, 15.9%] for black spruce and [-0.77 m, 0.77 m] or [-17.1%, 18.6%] for jack pine. The recommended models are statistically reliable for growth and yield applications, regeneration assessment and management planning.