Site index for Chinese fir plantations varies with climatic and soil factors in southern China

作     者：Xiaoyan Li Aiguo Duan Jianguo Zhang Xiaoyan Li;Aiguo Duan;Jianguo Zhang

作者机构：State Key Laboratory of Tree Genetics and BreedingKey Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland AdministrationResearch Institute of ForestryChinese Academy of ForestryBeijing 100091People’s Republic of China Collaborative Innovation Center of Sustainable Forestry in Southern ChinaNanjing Forestry UniversityNanjing 210037People’s Republic of China 

出 版 物：《Journal of Forestry Research》 (林业研究（英文版）)

年 卷 期：2022年第33卷第6期

页      面：1765-1780页

核心收录：

学科分类：0907[农学-林学] 08[工学] 0829[工学-林业工程] 09[农学] 0903[农学-农业资源与环境] 090301[农学-土壤学] 

基　　金：supported financially by Research on Directional Cultivation Technology of Cunninghamia lanceolata Timber Forest program the National Key R&D Program of the 14th Five Year Plan(Grant Number 2021YFD2201301) 

主　　题：Site productivity Site index Climate Soil Chinese fir 

摘      要：Chinese fir[Cunninghamia lanceolata(Lamb.)Hook.]has a large native distribution range in southern ***,we tested differences in productivity of Chinese fir plantations in different climatic regions and screened the main environmental factors affecting site productivity in each *** of a Chinese fir site index with climatic factors and the soil physiochemical properties of five soil layers were examined in a long-term positioning observation trial comprising a total of 45 permanent plots in Fujian(eastern region in the middle subtropics),Guangxi(south subtropics)and Sichuan(central region in the middle subtropics)in southern *** mixed effects models were developed to predict the site index for Chinese fir,which was found to vary significantly among different climatic *** P,total N,bulk density and total K were dominant predictors of site index in three climatic *** regional linear mixed models built using these predictors in the three climatic regions fit well(R~2=0.86–0.97).For the whole study area,the available P in the 0–20-cm soil layer and total N in the 80–100-cm soil layer were the most indicative soil *** was the most important climatic variable influencing the site *** model evaluation results showed that the fitting performance and prediction accuracy of the global site index model using the climatic region as the dummy variable and random parameters and the most important soil factors of the three climatic regions as predictors was higher than that of global site index model using the climatic variable and the most indicative soil variables of the whole study *** results will help with further evaluation of site quality of Chinese fir plantations and the selection of its appropriate sites in southern China as the climatic changes.