文献类型：期刊文献

英文题名：Comparing height-age and height-diameter modelling approaches for estimating site productivity of natural uneven-aged forests

作者：Fu, Liyong[1,2] Lei, Xiangdong[1] Sharma, Ram P.[3] Li, Haikui[1] Zhu, Guangyu[4] Hong, Lingxia[1] You, Lei[] Duan, Guangshuang[1] Guo, Hong[1] Lei, Yuancai[1] Li, Yutang[5] Tang, Shouzheng[1]

第一作者：符利勇;Fu, Liyong

通信作者：Tang, SZ[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Penn State Univ, Ctr Stat Genet, Loc T3436,Mailcode CH69,500 Univ Dr, Hershey, PA 17033 USA;[3]Czech Univ Life Sci Prague, Fac Forestry & Wood Sci, Prague 6, Suchdol, Czech Republic;[4]Cent South Univ Forestry & Technol, Coll Forestry, 498 Shaoshan Nanlu, Changsha 410004, Hunan, Peoples R China;[5]Acad Forest Inventory & Planning Jilin Prov, Changchun 130022, Jilin, Peoples R China

年份：2018

卷号：91

期号：4

起止页码：419-433

外文期刊名：FORESTRY

收录：;Scopus(收录号：2-s2.0-85053664836);WOS:【SCI-EXPANDED(收录号:WOS:000446184000002)】；

基金：This study was supported by the Forestry Public Welfare Scientific Research Project of China (Grant no. 201504303) and the National Natural Science Foundation of China (Grant nos. 31470641, 31300534 and 31570628).

语种：英文

摘要：Accurate estimates of forest site productivity are an essential part of forest management. Only a few approaches exist for estimating site productivity of natural uneven-aged forests. This study compared two approaches: dominant height (DH)-dominant diameter (DD) modelling and DH-stand age (A) modelling in terms of their prediction accuracy for site productivity. We developed the models based on both the algebraic difference approach (ADA) and ADA with mixed-effects modelling. Data originated from four sets of continuous measurements on natural Mongolian Oak (Quercus mongolica Fisch.) and Korean Larch (Larix olgensis Henry.) in northeastern China. The Leave-one-out cross-validation was applied to evaluate the models. The results showed that the prediction accuracies of the DH-DD models were significantly higher than that of the DH-A models. The inclusion of block-level random effects significantly increased the accuracies of both the DH-A models and DH-DD models. Compared with the DH-A models, the DH-DD models did not require age measurements which is time-consuming and difficult, but the DD and DH measurements are available from the routine inventories and compatible with the existing forest inventory data. Therefore, the nonlinear mixed-effects DH-DD models are recommended to estimate site productivity of the natural forests.