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单木竞争与空间结构对杉木胸径生长的影响OA

Effects of individual-tree competition and spatial structure on the DBH growth of Cunninghamia lanceolata

中文摘要英文摘要

[目的]明确单木竞争和空间结构对杉木胸径生长的影响,为杉木林分的精细化管理和可持续发展提供理论依据与实践指导.[方法]以开化县22块杉木固定样地为对象,基于2014-2019年森林资源清查数据,对胸径生长指标(胸径生长量、胸径平方生长量及其对数转换形式)、10个竞争指数(7个与距离无关,3个与距离有关)和 4 个空间结构指标(胸径大小比数、胸径大小分化度、混交度和角尺度)进行分析.通过最优子集回归筛选变量,利用Pearson 相关分析探究各因素与胸径生长指标的相关性,并剔除共线性严重的自变量,采用线性混合效应模型和方差分解法定量分析各因素对胸径生长的相对贡献.[结果]通过最优子集回归筛选出影响各胸径生长指标的主要因素,空间结构、竞争指数(C2、C5、C6、C17)同时影响多个指标,期初胸径(D1)及竞争指数(C15)也有重要作用.Pearson 相关分析结果表明,D1 与部分胸径生长指标呈极显著相关,胸径大小比数(UD)与各胸径生长指标呈极显著负相关,与竞争能力有关的竞争指数与胸径生长指标呈极显著正相关,多数与竞争压力有关的竞争指数与胸径生长指标呈极显著负相关.混合效应模型拟合效果优于线性回归模型,样地间生境因子差异对胸径生长影响显著;不同胸径生长指标的相对驱动因子不同,多以竞争指数影响居首位,D1 次之,UD 相对较小.混合效应模型的交互项分析结果表明,竞争与空间结构具有协同作用,在具有较大胸径差异(UD 较高)的林分中,C6×UD、C2×UD 和 C5×UD 均对胸径生长具有显著正向影响,而 C17×UD 的交互效应显著为负.这表明空间结构异质性增强了目标树竞争能力指数对生长的促进作用,同时削弱了部分竞争压力指数(如 Alemdag 指数)的抑制作用.[结论]杉木胸径生长受林木期初胸径、竞争指数和空间结构指标的综合影响,其中竞争因素最为关键,这种多因素的复杂作用机制为杉木林分的精细化管理和可持续经营提供了理论依据.

[Objective]To clarify the influence of individual-tree competition and spatial structure on the growth of Cunninghamia lanceolata diameter at breast height(DBH),and to provide theoretical basis and practical recommendations for the fine management and sustainable development of Cunninghamia lanceolata forests.[Method]Taking 22 fixed sample plots of Cunninghamia lanceolata trees in Kaihua County as the research object,based on the 2014-2019 forest resources inventory data,we calculated breast diameter growth indexes(breast diameter growth,breast diameter squared growth and its logarithmic conversion form),10 competition indexes(7 distance-independent and 3 distance-related)and 4 spatial structure indexes(breast diameter size ratio,breast diameter size differentiation,mixing degree,and angular scale).Variables were screened by optimal subset regression,Pearson correlation analysis was used to investigate the correlation between each factor and the indicators of breast diameter growth,severely collinear independent variables were eliminated,and the relative contribution of each factor to breast diameter growth was quantified by the linear mixed-effects model and variance decomposition method.[Result]The optimal subset regression identified key factors influencing various DBH growth indicators.Spatial structure indices and competition indices(C2,C5,C6,and C17)jointly affected multiple growth indicators,while initial DBH(D1)and competition index C15 also played important roles.Pearson correlation analysis showed that D1 was significantly correlated with several DBH growth indicators,while the spatial structure indicator UD was negatively correlated with all DBH growth indicators.Competition indices reflecting competitive ability were significantly positively correlated with DBH growth,whereas most indices representing competitive pressure showed significant negative correlations.The linear mixed-effects model outperformed the ordinary linear regression model,indicating that differences in site conditions among plots had a significant impact on DBH growth.The relative importance of driving factors varied among different DBH growth indicators,with competition indices generally having the greatest influence,followed by D1,while the contribution of UD was relatively small.Interaction effects in the mixed-effects model revealed that competition and spatial structure exhibited synergistic effects.In stands with higher diameter differentiation(higher UD),the interaction terms C6×UD,C2×UD and C5×UD had significant positive effects on DBH growth,whereas C17×UD showed a significant negative interaction effect.These results indicate that increased spatial heterogeneity enhances the positive effects of competitive ability indices on growth while weakening the inhibitory effects of certain competition pressure indices(e.g.,Alemdag index).[Conclusion]DBH growth of Cunninghamia lanceolata is jointly influenced by initial DBH,competition indices,and spatial structure,among which competition plays a dominant role.This complex multi-factor interaction mechanism provides a scientific basis for the precision management and sustainable management of Cunninghamia lanceolata stands.

方国景;白超;方炎杰;陆昊珉;汪旭婷;俞佳骏;王翔

浙江省森林资源监测中心,浙江 杭州 310020宁波市测绘和遥感技术研究院,浙江 宁波 315042浙江省森林资源监测中心,浙江 杭州 310020浙江省森林资源监测中心,浙江 杭州 310020浙江省森林资源监测中心,浙江 杭州 310020浙江省森林资源监测中心,浙江 杭州 310020浙江省野生动植物管理总站,浙江 杭州 310000

农业科技

杉木单木竞争空间结构胸径生长混合效应模型

Cunninghamia lanceolataindividual-tree competitionspatial structureDBH growthmixed-effects model

《中南林业科技大学学报》 2026 (4)

19-30,12

国家自然科学基金项目(31800539).

10.14067/j.cnki.1673-923x.2026.04.003

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