摘要
以五指山市阔叶混交林碳储量作为衡量森林碳汇量的指标,通过对胸径×树高、郁闭度、海拔、坡度、距水域距离5个变量进行空间自相关性分析,利用Geoda和Arcgis构建空间自回归模型和地理加权回归模型,对碳汇量与其影响因子之间的关系进行研究。结果表明:胸径×树高、郁闭度、海拔、坡度、距水域距离均为影响碳汇量分布的重要因子,其中郁闭度、胸径×树高对碳汇量的影响最大,其次为海拔、距水域距离,坡度因子的影响最小;各样点上的碳汇量与因子之间的回归方程不同,因此各因子在不同样点上对碳汇值的影响程度不同,根据因子对碳汇值的相对影响大小对森林管理采取相应措施,以增强该区域的固碳能力,进而提高其碳汇功能。
Taking the mixed forest of Wuzhishan City as the research object, the carbon storage of broad leaf mixed forest was taken as the indicator of forest carbon sequestration. Hydrological factors, DBH × tree height, canopy density, altitude, slope were introduced into spatial autocorrelation model which established by Geoda and Arcgis. The relationship between carbon sink and its influencing factors was studied. The results showed that DBH × tree height, canopy density, altitude, slope and distance from water were important factors affecting the carbon sink distribution. Canopy density, tree height and DBH × tree height had the greatest effect on carbon sink, followed by elevation, distance from the waters. the slope factor was the smallest. Each regression equation of sample points and carbon sinks was different. So each factor at different points impacted carbon sink value differently. According to the effect of factors on carbon sink value, forest management was implemented by appropriate measures to enhance the region′s carbon sequestration capacity, thereby enhancing its carbon sink function in this area.
出处
《西南林业大学学报（自然科学）》
CAS
北大核心
2017年第6期163-170,共8页
Journal of Southwest Forestry University：Natural Sciences
基金
国家林业行业公益性项目(201004032)资助
海南省林业厅重点科研项目(LK20118478)资助
关键词
阔叶混交林
碳汇量
影响因子
五指山市
broad leaf mixed forest, carbon sink, impact factors, Wuzhishan City
