文献类型：期刊文献

中文题名：长白落叶松人工林林分碳储量生长模型系研究

英文题名：Stand carbon stock growth model system for Larix olgensis plantation

作者：何潇[1] 周超凡[1] 雷相东[1] 李海奎[1]

第一作者：何潇

机构：[1]中国林业科学研究院资源信息研究所,国家林业和草原局森林经营与生长模拟实验室,北京100091

年份：2021

卷号：43

期号：11

起止页码：1-10

中文期刊名：北京林业大学学报

外文期刊名：Journal of Beijing Forestry University

收录：CSTPCD;;北大核心:【北大核心2020】；CSCD:【CSCD2021_2022】；

基金：国家自然科学基金项目(31870623);林业公益性行业科研专项(201504303)。

语种：中文

中文关键词：林分碳储量模型;生长过程;立地等级;林分密度;长白落叶松人工林

外文关键词：stand carbon stock model;growth process;site grade;stand density;Larix olgensis plantation

分类号：S791.22

摘要：【目的】目前关于林分碳储量随年龄动态变化的模型研究较少,本研究通过建立林分水平的碳储量生长模型系,为区域尺度的森林碳储量动态预估提供方法。【方法】以吉林省长白落叶松人工林为对象,使用立地质量分级算法将所有样地划分为3个立地等级,并将其作为哑变量引入模型系中,使用联立方程组的方法将林分平均高、断面积生长模型和林分碳储量模型3个方程进行联合估计,建立林分碳储量生长模型系。采用调整确定系数(R^(2)_(adj))、估计值的标准误(SEE)和平均预估误差(MPE)来评价模型的表现,分析不同立地等级和林分密度指数(SDI)下林分碳储量的生长过程,及林分断面积和平均高对林分碳储量的影响。【结果】(1)林分碳储量生长模型系中林分平均高生长模型、林分断面积生长模型和林分碳储量模型的R^(2)_(adj)分别为0.879、0.977和0.953,MPE均<2%,具有较好的拟合优度。(2)直接利用林分平均高和断面积或由生长模型得到林分平均高和断面积的这两种途径都可以准确估计林分碳储量,结果仅相差0.02 t/hm^(2),模型系具有良好的通用性与稳定性。(3)林分碳储量生长量随立地质量的提高而增加;立地等级相同时,SDI<1500株/hm^(2)时生长较慢,SDI>1500株/hm^(2)时,在40年以后的林分密度对碳储量生长过程基本无影响;林分密度指数控制在1500~2000株/hm^(2)时可实现较快的碳储量生长。(4)林分碳储量随林分断面积和平均高的增加而增加,林分断面积与林分碳储量的关系更为密切。【结论】林分碳储量的生长和立地等级、林分平均年龄、密度、断面积、平均高等因子有密切联系,采用联立方程组方法是建立林分碳储量生长模型系的有效方法。本研究建立的林分碳储量生长模型系可以对林分碳储量动态进行有效预测,为了解林分碳储量的生长过程和森林碳汇评估提供了工具。
[Objective]There are knowledge gaps on stand carbon stock growth model at present.This study developed a stand-level carbon stock growth model system to provide a method for dynamic estimation of regional forest carbon storage with time.[Method]Taking Larix olgensis plantation in Jilin Province of northeastern China as the research object,the site quality classification algorithm was used to divide all sample plots into three site grades,which were introduced into the model system as dummy variables.The stand carbon stock growth model system was established by simultaneous equations to link stand average height,basal area growth model and stand carbon stock model.The adjusted coefficient of determination(R^(2)_(adj)),the standard error of the estimated value(SEE)and the average prediction error(MPE)were used to evaluate model performance.The growth process of stand carbon stock under different site grades and stand density index(SDI),and the influence of stand basal area and average height on stand carbon stock were analyzed.[Result](1)The of stand average height growth model,basal area growth model and carbon stock model were 0.892,0.979 and 0.960,respectively,and the MPEs were both less than 2%.(2)Both procedures in the model system(inventory-and model-derived stand average height and basal area)could accurately estimate the stand carbon stock,and the difference was only 0.02 t/ha,so the model system had great generality and stability.(3)Stand carbon stock growth increased with the increasing site grade of sample plots.When the site grade was the same,the growth was slow with SDI less than 1500 plant/ha;but there were no differences in the growth process among different SDIs larger than 1500 plant/ha after 40 years,and the optimal SDI for maximum stand carbon stock was about 1500?2000 plant/ha.(4)The stand carbon stock increased with the increase of stand basal area and average height,and stand basal area had larger effects on stand carbon than stand average height.[Conclusion]The growth of stand carbon stock is closely related to the site grade,stand average age,density,basal area and average height.The modeling approach of simultaneous equations is a feasible method for developing the stand carbon stock growth model system.The stand carbon stock growth model system developed by this study could effectively predict stand carbon stock,which providing a tool for understanding the growth of stand carbon stock and forest carbon sink assessment.