摘要
基于广西典型土壤类型2013年森林资源调查和2016年人工林林地变更统计数据,结合DEM数据,估算各龄组杉木不同地形条件下碳蓄积量和碳密度分布格局。研究表明,随林龄的增长,杉木碳密度呈增大趋势,幼龄林碳密度为17. 53 tC/hm^2,中林龄为35. 43 tC/hm^2,近熟林为43. 62 tC/hm^2,成熟林为44. 89 tC/hm^2,过熟林为45. 07 tC/hm^2;随海拔的升高,年碳密度增长量呈降低的趋势,由海拔为0～300 m的2. 27 tC/hm^2下降到海拔为1 000 m以上的1. 68 tC/hm^2;随坡度增高,杉木年碳密度增长量也呈下降趋势,坡度越大,增长量越小,平坡的年碳密度增长量最大,为2. 72 tC/hm^2,险坡的最低,仅1. 08 tC/hm^2。分别采用粗糙集+综合因子法和逐步回归法对地形因子与年碳密度增长量进行模型拟合,获取了5个龄组的杉木碳密度模型。
Based on the forest resources survey data of typical soil types in 2013 and the plantation land change data in 2016 in Guangxi,the distribution pattern of carbon volume and carbon density of Cunninghamia lanceolata in each age group under different terrain conditions was estimated by DEM data. The results showed the carbon density of Cunninghamia lanceolata showed an increasing trend with the growth of forest age and the carbon densities of the young plantation, the middle-aged plantation, the premature plantation, the mature plantation, and the over-mature plantation were 17.53 tC /hm^2, 35.43tC/hm^2, 43.62 tC/hm^2, 44.89 tC/hm^2, and 45.07 tC/hm^2 respectively. The annual increase of the carbon density of Cunninghamia lanceolata showed an decreasing trend with the increase of altitude, which declined from 2.27 tC/hm^2 at 0 to 300m to 1.68 tC/hm^2 above 1000m. The annual increase of the carbon density also showed an decreasing trend with the increase of slope, which was the largest in flat slope with 2.72 tC/hm^2 and the lowest in precipitous slope with 1.08 tC/hm^2. The rough set method and the stepwise regression method were used to fit the terrain factor and the annual carbon density growth to obtain the carbon density model of Cunninghamia lanceolata in 5 age groups.
作者
石媛媛
邓明军
梁洪星
胡荣辉
潘会彪
邓玉华
SHI Yuanyuan;DENG Mingjun;LIANG Hongxing;HU Ronghui;PAN Huibiao;DENG Yuhua(Guangxi Research Institute of Forestry Science, Nanning 530002, China;Guangxi Tobacco Company, Nanning 530022, China;Huangmian Forest Farm of Guangxi, Luzhai Guangxi 545600, China)
出处
《林业调查规划》
2018年第6期1-5,共5页
Forest Inventory and Planning
基金
广西自然科学基金(2015GXNSFAA139100)
广西创新驱动发展专项资金项目课题(桂科AA17204087-11)
广西林学与生物学院士工作站能力建设项目(桂科AD17129051)
关键词
碳密度
地形因子
模型拟合
粗糙集综合因子法
逐步回归法
杉木
carbon density
terrain factors
model fitting
rough set method
stepwise regression method
Cunninghamia lanceolata
