摘要
以福建省39块杉木人工林临时样地和10块固定样地数据(胸径、各组分生物量和蓄积量)为基础,应用3-PG(生理过程林分级生长模型)模型预测杉木人工林生物量和蓄积量的生长变化,利用固定样地数据与模型输出回归分析进行精度验证,并选取土壤肥力等级(FR)和净初级生产力对根分配的最小值(pRn)进行参数敏感性分析。结果表明:3-PG模型的拟合精度较高,胸径、各组分生物量和蓄积量模拟数据与实测数据的决定系数(R^(2))均在0.72以上,所有指标的相对均方误差均在20%以下;土壤肥力等级和净初级生产力对根分配的最小值对胸径、各组分生物量和蓄积量均具有较高的敏感性。土壤肥力等级和净初级生产力对根分配的最小值是影响3-PG模型预测杉木生长指标变化的关键参数。
With the data of 39 temporary plots and 10 fixed plots(DBH,biomass of each component and volume)of Chinese fir plantation in Fujian Province,the 3-PG(physiological process stand-level growth model)model was used to predict the growth changes of biomass and volume of Chinese fir plantation.The accuracy was verified by regression analysis of fixed plot data and model output,and fertility rating(FR)and Minimum fraction of NPP to roots(pRn)were selected for parameter sensitivity analysis.The results showed that the 3-PG model was fitted with high accuracy,the coefficient of determination(R^(2))between simulated and measured data for DBH,biomass of each component and stand volume were all above 0.72,and the relative root mean square errors of all indicators were below 20%.Fertility rating and minimum fraction of NPP to roots were important parameters of the model with high sensitivity to DBH,biomass of each component and stand volume.Fertility rating and minimum fraction of NPP to roots were key parameters for 3-PG model of Chinese fir.
作者
万敏
孙玉军
孙钊
庞荣荣
Wan Min;Sun Yujun;Sun Zhao;Pang Rongrong(National Forestry&Grassland Administration Key Laboratory of Forest Resources&Environmental Management,Beijing Forestry University,Beijing 100083,P.R.China;Beijing Forestry University)
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2023年第11期74-79,94,共7页
Journal of Northeast Forestry University
基金
国家自然科学基金项目(31870620)。
关键词
杉木
3-PG模型
生物量
参数敏感性
Cunninghamia lanceolata
3-PG model
Biomass
Sensitivity analysis
