应用生态学报2017，Vol.28Issue(12)：3841-3847,7.DOI:10.13287/j.1001-9332.201712.001
飞播马尾松林碳密度分配特征及其影响因素
Carbon density distribution characteristics and influencing factors in aerially seeded Pinus massoniana plantations
摘要
Abstract
The distribution characteristics of carbon density under aerially seeded Pinus massoniana plantations in Ganzhou City of Jiangxi Province were studied.Total 15 factors,including site,stand,understory vegetation,litter and so on were selected to establish a relationship model between stand carbon density and influencing factors,and the main influencing factors were also screened.The results showed that the average carbon density was 98.29 t · hm-2 at stand level with soil layer (49.58 t · hm-2) ＞ tree layer (45.25 t · hm-2) ＞ understory vegetation layer (2.23 t · hm 2) ＞ litter layer (1.23 t · hm-2).Significantly positive correlations were found among the tree,litter and soil layers,but not among the other layers.The main factors were tree density,average diameter at breast height (DBH),soil thickness,slope position,stand age and canopy density to affect carbon density in aerially seeded P.massoniana plantations.The partial correlation coefficients of the six main factors ranged from 0.331 to 0.434 with significance by t test.The multiple correlation coefficient of quantitative model I reached 0.796 with significance by F test (F=9.28).For stand density,the best tree density and canopy density were 1500-2100 plants · hm-2 and 0.4-0.7,respectively.The moderate density was helpful to improve ecosystem carbon sequestration.The carbon density increased with increasing stand age,DBH and soil thickness,and was higher in lower than middle and upper slope positions.关键词
马尾松/飞播林/碳密度/分配特征Key words
Pinus massoniana/aerially seeded plantation/carbon density/distribution characteristics引用本文复制引用
潘萍,韩天一,欧阳勋志,刘苑秋,臧颢,宁金魁,杨阳..飞播马尾松林碳密度分配特征及其影响因素[J].应用生态学报,2017,28(12):3841-3847,7.基金项目
本文由国家自然科学基金项目(31360181)和中国科学院战略性先导科技专项(XDA05050205)资助 This work was supported by the National Natural Science Foundation of China(31360181) and the Chinese Academy of Sciences Strategic Priority Research Program (XDA05050205). （31360181）
