文献类型：期刊文献

中文题名：我国 4 种落叶松人工林的林分优势高和平均高转换模型

英文题名：Conversion Models of Stand Dominant Height and Mean Height of the Plantations of Four Larix species in China

作者：Xiao, He[1] Weisheng, Zeng[2] Xinyun, Chen[2] Hongchao, Huang[1] Xiangdong, Lei[1]

第一作者：Xiao, He

机构：[1] State Key Laboratory of Efficient Production of Forest Resources, Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China; [2] Academy of Inventory and Planning, National Forestry and Grassland Administration, Beijing, 100714, China

年份：2026

卷号：62

期号：1

起止页码：223-230

外文期刊名：Linye Kexue/Scientia Silvae Sinicae

收录：EI(收录号：20260720080121)

语种：中文

外文关键词：Ecology - Forecasting - Forest ecology - Forestry - Prediction models - Quality control - Regression analysis

摘要：【Objective】 This study aims to develop conversion models between the stand dominant height and the mean height of the four larch species (Larix spp.), providing a basis for evaluating the site quality and predicting the growth of larch plantations. 【Method】 Based on the survey data of national forest and grass ecological comprehensive monitoring of plantation plots of Larix species from the 2021 and 2022, dual regression and mixed-effects models were applied to develop conversion models for stand dominant height and mean height. Model performance was assessed using residual sum of squares, coefficient of determination (R2), root mean square error (RMSE) and relative root mean square error (rRMSE).【Result】 1) The conversion model between stand dominant height and mean height based on the dual regression model method performed the best, outperforming the linear mixed effect model approach. The dual regression model method had average R2 exceeding 0.92, average RMSEs between 1.31 m and 1.34 m, and average rRMSEs between 9.63% and 9.85%, and was able to achieve mutual prediction between stand dominant height and mean height. 2) Incorporating tree species and province (city) groups into the dual regression model further improved model accuracy, and the model including province (city) groups showed higher accuracy.【 Conclusion】 The dual regression model in incorporating province (city) groups had good applicability and predictive performance in establishing the conversion relationship between stand dominant height and mean height. This approach offers a more accurate and basic forecasting model for site quality evaluation of larch plantations. ? 2026, Chinese Society of Forestry. All rights reserved.