基于通径分析的新疆山地森林空气负离子浓度影响因子研究
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第三次新疆综合科学考察项目--自然保护地体系总体布局与区域协调发展路径(2021xjkk1206)


The influencing factors of negative air ion concentration in Xinjiang mountainous forest based on path analysis
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    摘要:

    林型影响着森林群落生成空气负离子的效率,然而影响不同林型空气负离子浓度(NAIC)的关键驱动因子尚未清楚。研究选取了新疆山地森林中4种主要林型:针阔混交林、常绿针叶林、落叶针叶林和落叶阔叶林,并设置无林地作为对照组,监测了空气负离子浓度以及空气含氧量、空气细菌含量、PM2.5浓度、PM10浓度、光照强度、紫外线辐射强度、温度、相对湿度、风速和气压等10个环境因子,最后采用通径分析明确了不同林型NAIC的关键驱动因子。结果显示:(1)不同林型的NAIC差异显著,其中针阔混交林((3072±385)个/cm3)>常绿针叶林>落叶针叶林>落叶阔叶林>无林地。(2)在针阔混交林中,相对湿度是NAIC的主要决策变量,紫外线辐射强度对NAIC的直接正效应最大,PM2.5浓度通过相对湿度对NAIC的间接负向作用最显著。(3)在常绿针叶林中,相对湿度是影响NAIC最关键的环境因子,气压对NAIC的直接正效应最大,紫外线辐射强度对NAIC的间接正效应最大,温度通过相对湿度对NAIC的间接负作用也最为显著。(4)在落叶针叶林中,紫外线辐射强度是NAIC的关键驱动因子,空气细菌含量对NAIC的直接负向作用最大,而相对湿度对NAIC的间接正效应也最为显著。(5)在落叶阔叶林中,光照强度是NAIC的主要决策变量,PM2.5浓度对NAIC的直接负效应最大,相对湿度对NAIC起到最显著的间接促进作用。(6)在无林地中,NAIC主要受PM2.5浓度控制,气压是影响NAIC最直接的正向因素,PM10浓度对NAIC的间接负效应最大,且相对湿度间接促进了NAIC。因此,不同林型NAIC的影响因子既有共性又有差异性,其中相对湿度对不同林型的NAIC均存在着显著影响。利用通径分析,研究阐明了环境因子对NAIC的作用路径和综合决定作用,为揭示不同林型NAIC的关键驱动因子提供理论基础。

    Abstract:

    Stand types affect the efficiency of negative air ions generation within forest communities. However,the key driving factors of negative air ion concentration (NAIC) in different stand types remain unclear. This study selected four primary stand types within Xinjiang's mountainous forest: coniferous and broad-leaved mixed forest,evergreen coniferous forest,deciduous coniferous forest,deciduous broad-leaved forest,with non-forest land serving as the control group. NAIC and 10 environmental factors-including air oxygen content,airborne bacteria content,PM2.5 concentration,PM10 concentration,light intensity,ultraviolet radiation intensity,temperature,relative humidity,wind speed,and air pressure-were monitored. Finally,the key driving factors of NAIC in different stand types were identified by path analysis. The results revealed that (1) Significant differences in NAIC were observed across stand types,with coniferous and broad-leaved mixed forest ((3072±385) ions/cm3) having the highest NAIC,followed by evergreen coniferous forest,deciduous coniferous forest,deciduous broad-leaved forest,and non-forest land. (2) In the coniferous and broad-leaved mixed forest,relative humidity was identified as the primary determinant of NAIC,with ultraviolet radiation intensity exerting strongest direct positive influence on NAIC,and the indirect negative effect of PM2.5 concentration on NAIC through relative humidity was notably significant. (3) In the evergreen coniferous forest,relative humidity served as the paramount environmental factor influencing NAIC. Air pressure had the most pronounced direct positive impact on NAIC,while ultraviolet radiation intensity contributed the largest indirect positive effect. Furthermore,temperature's indirect negative influence on NAIC,mediated through relative humidity,was also remarkable. (4) In the deciduous coniferous forest,ultraviolet radiation intensity was the key driving factor of NAIC. Moreover,the direct negative influence of airborne bacteria content on NAIC was the most prominent,while the indirect positive effect of relative humidity on NAIC was equally significant. (5) In the deciduous broad-leaved forest,light intensity was identified as the primary determinant of NAIC. PM2.5 concentration had the most substantial direct negative impact on NAIC,while relative humidity displayed the most prominent indirect promoting effect on it. (6) In non-forest land,NAIC was predominantly controlled by PM2.5 concentration. Air pressure stood out as the most direct positive factor affecting NAIC,while PM10 concentration had the largest indirect negative effect,and the relative humidity indirectly promoted NAIC. Therefore,the influencing factors of NAIC across various stand types exhibit both commonalities and differences,with relative humidity having a significant influence on NAIC across diverse stand types. Through path analysis,this study elucidates the action pathways and the comprehensive determining effects of environmental factors on NAIC,providing a theoretical foundation for identifying the key driving factors of NAIC in different stand types.

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朱舒欣,王锐锋,王琦雅,李伟蝶,雷霆,崔国发.基于通径分析的新疆山地森林空气负离子浓度影响因子研究.生态学报,2025,45(8):4022~4035

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