基于功能性状的大明山天然林树种分组及单木生长模拟  

Tree Species Grouping and Individual Tree Growth Simulation in Natural Forests in Damingshan Based on Functional Traits

作　　者：林文胜 王宏翔 Lin Wensheng;Wang Hongxiang(College of Forestry,Guangxi University,Nanning,Guangxi 530004,China)

机构地区：[1]广西大学林学院,广西南宁530004

出　　处：《广西林业科学》2024年第6期807-818,共12页Guangxi Forestry Science

基　　金：广西科技基地和人才专项(桂科AD20297051)。

摘　　要：为准确模拟林木生长过程,充分了解和预测亚热带天然林的林分蓄积量、生物量和碳储量,基于耐荫性和功能性状对天然林树种进行分组,绘制各组断面积增量(BAI)曲线,比较功能性状分组与耐荫性分组的差异。构建单木断面积生长模型,依次引入树种和小样方随机因子,探讨树种和小样方随机因子对树种生长的影响。基于单木断面积生长模型,添加树高和冠幅因子,引入树种和小样方随机因子,分析树高和冠幅因子对树种生长的影响。结果表明,与耐荫性分组相比,基于功能性状分组更能有效归类生长策略相似的树种。木材密度、比叶面积和最大胸径的聚类能解释76.7%的树种差异性。添加树种和小样方随机因子均能有效提高模型拟合精度,其中树种随机因子对模型提升具有重要作用。添加树高和冠幅因子能提高模型拟合精度;在含树高和冠幅因子的模型中引入树种随机因子,也能提高模型拟合精度。基于树种木材密度、比叶面积和最大胸径3个性状进行分组可将生长策略相似的树种进行有效归类,针对树种丰富的亚热带天然林,基于功能性状分组构建模型适用性更强。To accurately simulate tree growth processes and better understand and predict stand volume,biomass and carbon storage of subtropical natural forests,tree species grouping of natural forests was conducted based on shade tolerance and functional traits.Basal area increment(BAI)curves were developed for each group,and differences of grouping by functional traits and shade tolerance were compared.Individual tree basal area growth model was constructed,along with tree species and small sample plot random factors to explore impacts of tree species and small sample plot random factors on tree species growth.Based on individual tree basal area growth model,tree height and crown width factors were added,along with tree species and small sample plot random factors,to analyze impacts of tree height and crown width factors on tree species growth.Results showed that compared to grouping by shade tolerance,grouping by functional traits could more effectively classify tree species with similar growth strategies.Clustering of wood density,specific leaf area and DBHmax could explain 76.7%differences among tree species.Adding tree species and small sample plot random factors effectively improved model's accuracy,with tree species random factor playing significant role in model enhancement.Adding tree height and crown width factors also enhanced model's accuracy.Introducing tree species random factor in model that included tree height and crown width factors enhanced model's accuracy.Grouping based on wood density,specific leaf area and DBHmax effectively classified tree species with similar growth strategies.Adapbilities of models based on functional traits could be stronger for species-rich subtropical natural forests.

关 键 词：亚热带天然林 树木生长模型 树种分组 功能性状 混合效应模型 

分 类 号：S750[农业科学—森林经理学]