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浙江省松阳县公益林乔木层生物量影响因素分析 被引量:2

Analysis of the Relationship between Arbor Layer Biomass and Impacting Factors in Non-commercial Forest of Songyang, Zhejiang Province
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摘要 [目的]研究森林生物量的影响因素,探讨森林群落生产力的形成机制。[方法]以浙江省松阳县公益林为研究对象,采用结构方程模型方法,分析了物种丰富度、结构多样性及其与环境因子之间的耦合效应对乔木层生物量的影响。[结果]乔木层个体数、物种丰富度和结构多样性显著提高乔木层生物量,其中结构多样性的正向影响程度最大。结构多样性与环境因子无关,而地形和土壤因子及其相互作用显著影响乔木层个体数和物种丰富度。[结论]揭示了乔木层结构多样性、乔木层个体数和物种丰富度与环境耦合效应显著影响乔木层生物量,合理的林分结构调整和林地环境改善是提高森林群落生产力的有效途径。 [Objective] To study the influencing factors of forest biomass and explore the formation mechanism of forest community productivity.[Method]Structural equation model method was used to analyze the impact of species diversity, structural diversity and their coupling effect with environmental factors on the biomass of arbor layers in no-commercial forest of Songyang County, Zhejiang Province.[Result]The results showed that number of trees, species richness and structural diversity significantly increased the biomass of the arbor layer, of which structural diversity has the greatest positive impact.Terrain and soil factors and their interaction significantly affect number of trees and species abundance, which indirectly affect the arbor layer biomass.But the relationship between structural diversity and environmental factors was not significant.[Conclusion]The study revealed that the structural diversity of the arbor layer, as well as the coupling effect of number of trees and species richness with the environment, significantly affect the biomass of the arbor layer.Reasonable adjustment of stand structure and improvement of forest environment are effective ways to improve the productivity of forest communities.
作者 叶森土 许艳 张川英 吴初平 袁位高 江波 朱锦茹 王志高 YE Sen-tu;XU Yan;ZHANG Chuan-ying(Songyang Bureau of Natural Resources and Planning,Songyang,Zhejiang 323400;Suichang Ecological Forestry Development Center,Suichang,Zhejiang 323300)
出处 《安徽农业科学》 CAS 2022年第9期108-110,113,共4页 Journal of Anhui Agricultural Sciences
基金 浙江省省院合作林业科技资助项目(2019SY08)。
关键词 结构方程模型 公益林 森林生物量 环境因子 Structural equation model Non-commercial forest Forest biomass Environmental factors
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