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北京松山不同龄级天然油松林生物量分配格局及其影响因子

高杰,郭子健,刘艳红*   

  1. (北京林业大学森林培育与保护省部共建教育部重点实验室, 北京 100083)
  • 出版日期:2016-06-10 发布日期:2016-06-10

Biomass allocation pattern and its influencing factors across natural Chinese pine forests of different ages in Songshan, Beijing.

GAO Jie, GUO Zi-jian, LIU Yan-hong*   

  1. (The Key Laboratory for Silviculture and Conversation of Ministry of Education, Beijing Forestry University, Beijing 100083, China).
  • Online:2016-06-10 Published:2016-06-10

摘要:

北京松山自然保护区拥有华北地区唯一的天然油松林,通过对松山8块不同林龄天然油松林样地生物量分配格局进行调查,利用RDA分析和方差分解的方法探究环境因子对各器官生物量分配格局的影响,研究发现:(1)乔木层生物量随着林龄增大而增加,40、55、70、95年生林分乔木层生物量分别为116.96、132.31、144.86、170.82 t·hm-2,各器官(根、叶、干材、枝条)生物量随着林龄的增大也呈现增长趋势,但各器官的生物量分配比在各个林龄无明显差异(P>0.05);(2)林龄与乔木层各器官生物量之间两两呈显著线性正相关。(3)环境因子前两个主成分对乔木层、灌木层、草本层生物量分配格局方差解释程度分别为:96.79%、46.04%、86.80%。在乔木层、草本层生物量分配格局的方差解释上,土壤因子模型的独立作用要远大于地形模型,在灌木层生物量分配格局的方差解释上,地形因子模型的独立作用要远大于土壤因子模型。
 

关键词: 芽孢杆菌, 玉米秸秆, 木质纤维素, 生物降解

Abstract: Currently, Beijing Songshan Nature Reserve possesses the only one natural Chinese pine forest in North China. We investigated 8 different aged natural Chinese pine forests in the reserve and used RDA analysis and variance decomposition to explore the effect of environmental factors on biomass allocation pattern in organs. Results indicated that biomass of tree layer increased with the increased stand age, and the biomass values of 40, 55, 70 and 95yearold forests were 116.96, 132.31, 144.86, and 170.82 t·hm-2, respectively. The biomass of various organs (roots, leaves, bole wood, branches) also increased with the increase of stand age, but no significant difference in biomass allocation ratio of each organ existed among the forests with different ages (P>0.05). Stand age showed a significant positive linear correlation with organ biomass in tree layer. The two main components of environmental factors together accounted for 96.79%, 46.04%, and 86.80% of the variance of biomass distribution pattern in tree layer, shrub layer, and herb layer, respectively. The independent effect of the soil factor model was much greater than that of the terrain model in interpretation of the variance of tree layer and herb layer’s biomass allocation pattern, while the terrain factor model showed a greater independent role in explaining the variance of shrub biomass allocation pattern than the soil factor model.

Key words: Bacillus, corn straw, lignocellulose, biodegradation.