摘要
基于长汀县森林资源二类调查数据估算马尾松地上生物量,使用全局Moran’s I指数及热点(Getis–Ord G_(i)^(*))进行空间特征分析;运用地理探测器探究其影响因子,构建结构方程模型阐明其驱动机制。结果表明:研究区马尾松林分地上生物量为53.563 t/hm^(2),存在明显的空间分布差异,空间特征表现为研究区西部、北部的高值聚类和集中在中南部的低值聚类。郁闭度、海拔、林分年龄、年均气温、降水量、土壤有机质和土壤全氮含量为影响研究区马尾松生物量空间分异较显著的影响因子,双因子交互作用后解释力得到增强。结构方程模型表明驱动路径的主要因子为郁闭度、林分年龄、海拔和年均降水。郁闭度通过直接效应影响生物量,海拔通过影响降水和气温从而对林分生物量造成间接影响,林龄和年均降水量对生物量既有直接效应又有间接效应,林龄通过影响郁闭度产生间接效应,年均降水量通过影响土壤全氮产生间接效应。综上所述,长汀县马尾松地上生物量呈现显著的空间聚类分布特征,研究区中南部区域为今后马尾松林分质量和生态治理成效进一步提升的重点区域,今后长汀县马尾松的经营管理可以通过优化林分结构、提高郁闭度和改善土壤养分等措施提升马尾松林分质量。
Based on the forest resource inventory of Changting County,the aboveground biomass of Pinus massoniana was estimated,and its spatial characteristics were analyzed by global Moran's I index and the hot spot analysis(Getis–Ord G_(i)^(*)).The geographical detectors were used to explore its influencing factors,and the structural equation model was constructed to clarify its driving mechanism.The results showed that the aboveground biomass of P.massoniana in the study area was 53.563 t/hm^(2),with obvious spatial distribution differences.The spatial characteristics were shown as high-value clustering in the west and north of the study area and low-value clustering in the center and south.The results of geographic detectors showed that canopy density,elevation,stand age,mean annual temperature,precipitation,soil organic matter and soil total nitrogen content were significant influencing factors for biomass spatial differentiation of P.massoniana in the study area,and the explanatory power was enhanced by two-factor interaction.The path analysis of structural equation model showed that the main factors driving the path were canopy density,stand age,elevation and average annual precipitation.Canopy density exerted direct effect on biomass,while elevation indirectly affected stand biomass by influencing the precipitation and temperature.Stand age and mean annual precipitation had both direct and indirect effects on biomass,stand age had an indirect effect by affecting canopy density,and mean annual precipitation as well by affecting soil total nitrogen.In summary,the aboveground biomass of P.massoniana in Changting County shows significant spatial clustering distribution characteristics.The central and southern regions of the study area are the key areas for further improvement of P.massoniana stand quality and ecological management.In the future,the management of P.massoniana in Changting County can be focused on enhancing the stand quality by optimizing the stand structure,increasing the canopy density and improving soil nutrients.
作者
丘丽萍
张帆
林嘉源
徐伟涛
赖日文
Qiu Liping;Zhang Fan;Lin Jiayuan;Xu Weitao;Lai Riwen(College of Forestry,Fujian Agriculture and Forestry University,Fuzhou Fujian 350002,China;Organization Department of Zhangpu County Party Committee of the CPC,Zhangzhou Fujian 363200,China)
出处
《西南林业大学学报（自然科学）》
CAS
北大核心
2024年第1期106-115,共10页
Journal of Southwest Forestry University：Natural Sciences
基金
城市绿化乔木降温成效及树种配置项目(KHF190017)资助
平潭综合试验区绿岛花城建设总体规划项目(KH190110A)资助。
关键词
地上生物量
空间特征
地理探测器
结构方程模型
马尾松
aboveground biomass
spatial characteristics
geographical detector
structural equation model
Pinusmassoniana
