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生态学杂志 ›› 2010, Vol. 29 ›› Issue (04): 790-797.

• 综述与专论 • 上一篇    下一篇

树干CO2释放速率影响因素研究进展

黄玮1,2,4,朱锦懋1,2,阮宏华4,黄儒珠1,2,王健1,3,郑怀舟1,3   

  1. 1湿润亚热带生态地理过程省部共建教育部重点实验室| 福州 350007;2福建师范大学生命科学学院| 福州 350108;3福建师范大学地理科学学院| 福州 350007;4南京林业大学森林资源与环境学院| 南京 210037
  • 出版日期:2010-04-09 发布日期:2010-04-09

Research progress in affecting factors of stem CO2 efflux rate.

HUANG Wei1,2, ZHU Jin-mao1,2, RUAN Hong-hua4, HUANG Ru-zhu1,2, WANG Jian1,3, ZHENG Huai-zhou1,3   

  1. 1Key Laboratory of Humid Sub-tropical Eco-geographical Process of Ministry of Education, Fuzhou 350007, China|2College of Life Science, Fujian Normal University, Fuzhou 350108, China|3College of Geographical Science, Fujian Normal University, Fuzhou 350007, China|4Faculty of Forest Resources and the Environment, Nanjing Forestry University, Nanjing 210037, China
  • Online:2010-04-09 Published:2010-04-09

摘要: 树干CO2释放速率(stem CO2 efflux rate, FCO2)是森林生态系统碳循环的重要组成部分,其占树木自养呼吸的14%~48%。对FCO2影响因素进行分析,对于了解全球碳循环以及森林生态系统对全球变暖的响应具有重要意义。本文综述了生物因素和非生物因素对FCO2的影响,指出这些因素不仅直接或间接影响FCO2,而且各因素间还存在交互作用,此外,各因素的影响程度也会随时间、空间而变化。在此基础上,本文提出了今后研究应集中在以下几方面:(1)运用有效方法分离树干释放CO2的各个组分,并分析各个组分与影响因素的关系,深入揭示FCO2变化机制;(2)加强生物、非生物因素交互影响FCO2动态模型的研究,用以提高模拟的准确性;(3)深入探讨FCO2的温度适应性。

关键词: 区域农业生态系统, 环境质量, 评价

Abstract: Stem CO2 efflux rate (FCO2) is a key component of the carbon cycle in forest ecosystem, accounting for 14%–48% of autotrophic respiration. To study the affecting factors of FCO2 would contribute to the understanding of global carbon cycle and of the responses of forest ecosystem to global climate change. This paper reviewed the effects of biotic and abiotic factors on FCO2, and indicated that these factors not only directly or indirectly affected the FCO2, but also acted interactively. Their contributions to FCO2 varied temporally and spatially. Though a considerable advancement has been achieved in recent years, some issues are still needed to be further studied: 1) partitioning the FCO2 with effective methods, and analyzing the relationships between the FCO2 components and related affecting factors to reveal the FCO2 variation mechanism, 2) incorporating the biotic and abiotic factors into FCO2 dynamic models to improve the accuracy of simulating FCO2, and 3) further approaching the temperature-adaptability of FCO2.

Key words: Regional agro-ecosystem, Environmental quality, Assessment