首页|期刊导航|林业科学|宁夏六盘山北部华北落叶松林树高与胸径生长的多因子响应耦合模型构建

宁夏六盘山北部华北落叶松林树高与胸径生长的多因子响应耦合模型构建OA北大核心CSTPCD

Construction of Multi-Factor Response Coupling Models of Tree Height and DBH Growth of Larix principis-rupprechtii Plantations in Northern Liupan Mountains,Ningxia

中文摘要英文摘要

[目的]分析宁夏六盘山半干旱区叠叠沟小流域华北落叶松人工林林龄、密度和主要立地因子对树高和胸径生长的影响,建立树木生长的多因子响应耦合模型,为该地区华北落叶松人工林生长预测和可持续经营提供理论依据.[方法]2018和2019年,在六盘山半干旱区叠叠沟小流域分别选择42和57块华北落叶松人工林样地,调查树高、胸径、林龄、密度等林分结构特征以及坡向、土壤厚度等立地因子,并收集 2003-2017年在叠叠沟小流域调查的 93块样地历史数据.基于 192块样地数据,分析树高和胸径对林龄、密度、坡向、土壤厚度等因子的响应规律,利用 2/3和 1/3的数据建立和验证树高与胸径生长的多因子响应耦合模型.[结果]树高和胸径对林龄、密度、坡向、土壤厚度的响应规律各异;树高和胸径随林龄增加先快速增加,后在林龄超过 20年时缓慢增加;树高和胸径随密度增加先表现为稳定,后在密度分别超过 2 000、1 500株·hm-2 时缓慢下降,在密度超过 3 000、2 300株·hm-2 时加快下降;树高和胸径随坡向偏离正北方向的角度增加先表现为稳定,后在坡向超过 80°时迅速降低;树高和胸径随土壤厚度增加先表现为增加,后在土壤厚度分别超过 90、80 cm渐趋稳定.基于连乘耦合、立地指数和立地因子 3种林木生长模型表达式,建立树高和胸径响应林龄、密度、坡向、土壤厚度和立地指数的耦合模型并拟合模型参数;树高模型的确定系数分别为 0.804、0.902、0.806,NS系数分别为 0.793、0.903、0.762;胸径模型的确定系数分别为 0.846、0.803、0.834,NS系数分别为 0.837、0.840、0.818;3种模型拟合效果均较好.[结论]宁夏六盘山半干旱区华北落叶松人工林树高和胸径生长随林龄、密度、坡向、土壤厚度增加分别表现为先快后慢增加、先稳定后下降、先稳定后降低、先升高后稳定,建立的连乘耦合、立地指数和立地因子多因子耦合模型精度均较高,但鉴于研究区尚未确定立地指数分布规律并综合考虑各模型精度、应用难度、结构复杂程度差异,建议采用多因子连乘耦合模型预测华北落叶松人工林树高和胸径生长.

[Objective]This study aims to investigate the growth of average tree height and diameter at breast height(DBH)of Larix principis-rupprechtii plantation stands and the growth responses to site factors and stand structure in the small watershed of Diediegou located in the semi-arid area of Liupan Mountains in Ningxia of northwest China,and thereby providing a theoretical basis for tree growth prediction and sustainable forest management.[Method]In 2018 and 2019,42 and 57 sample plots of L.principis-rupprechtii plantations were selected respectively,to investigate the stand structural characteristics(tree height,DBH,forest age,density,etc.)and site factors(slope aspect,soil thickness,etc.).In addition,the data from 93 sample plots surveyed between 2003 and 2017 in the Liupan Mountains were also collected for this study.Based on the data from all these 192 plots,the response patterns of tree height and DBH growth to the influencing factors such as forest age,density,slope aspect,and soil thickness were analyzed,and the growth models of tree height and DBH were established and validated using 2/3 and 1/3 of the dataset.[Result]The tree height and DBH exhibited distinct response patterns to forest age,density,slope aspect,and soil thickness.Both tree height and DBH increased rapidly with rising forest age until to 20 years and thereafter increased slowly.With rising tree density,the tree height and DBH initially remained stable,but then decreased gradually after exceeding the thresholds of 2 000 and 1 500 trees·hm-2 and decreased with accelerated rate after exceeding the thresholds of 3 000 and 2 300 trees·hm-2,respectively.As the slope aspect deviated more from due north,the tree height and DBH initially remained stable until to the threshold of 80° and thereafter decreased rapidly.With rising soil thickness,the tree height and DBH firstly increased and then stabilized when the soil thickness exceeded 90 and 80 cm,respectively.Based on expressions of three types of forest growth models(multiplicative coupling,site index,site factors)in response of tree height and DBH to forest age,tree density,slope aspect,soil thickness,and site index,the coupling models were established and the model parameters were fitted.The determination coefficients of the three models of tree height were 0.804,0.902,and 0.806,and the corresponding NS coefficients were 0.793,0.903,and 0.762,respectively.The determination coefficients for the three models of DBH were 0.846,0.803,and 0.834,and the corresponding NS coefficients were 0.837,0.840,and 0.818,respectively.All the three models performed satisfactorily compared with the observed data.[Conclusion]In the semi-arid area of Liupan Mountains,the growth of tree height and DBH of L.principis-rupprechtii plantations has different responses to the main influencing factors,i.e.,firstly increases quickly and then increases slowly with rising forest age,firstly stabilizes and then decreases with rising tree density and slope aspect,and firstly increases and then stabilizes with rising soil thickness.All the multi-factor coupling models of three types(multiplicative coupling,site index,and site factors)exhibit high accuracy.However,considering the undetermined distribution pattern of the site index,the accuracy differences and application difficulty and structural complexity of models,it is suggested to use the multi-factor coupling model for predicting the tree height and DBH growth of L.principis-rupprechtii plantations in the study region.

韩新生;王彦辉;于澎涛;李振华;于艺鹏;王晓

中国林业科学研究院森林生态环境与自然保护研究所 国家林业和草原局森林生态环境重点实验室 北京 100091||宁夏农林科学院林业与草地生态研究所 宁夏防沙治沙与水土保持重点实验室 宁夏生态修复与多功能林业综合研究中心 银川 750002||中国水利水电科学研究院 北京 100038中国林业科学研究院森林生态环境与自然保护研究所 国家林业和草原局森林生态环境重点实验室 北京 100091新乡学院土木工程与建筑学院 新乡 453003

林学

华北落叶松人工林林木生长林龄林分密度立地指数耦合模型

Larix principis-rupprechtii plantationstree growthforest agestand densitysite indexcoupling model

《林业科学》 2024 (011)

13-24 / 12

中国林业科学研究院中央级公益性科研院所基本科研业务费专项资金资助项目(CAFYBB2021ZW002);国家自然科学基金委员会区域创新发展联合基金资助项目(U20A2085,U21A2005);国家自然科学基金国际(地区)合作与交流资助项目(42161144008);宁夏自然科学基金项目(2023AAC03404).

10.11707/j.1001-7488.LYKX20230539

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