摘要
植物有机碳含量是研究森林碳储量的关键因素之一,文中总结了近20年森林植被含碳率研究的状况、存在问题和发展趋势。指出中国植被含碳率的研究主要集中在华北、华东、西北和西南的部分地区。目前,测定植物有机碳主要有湿烧法和干烧法,另外也有少部分根据分子式或重量法计算植物有机碳含量。森林生态系统中不同树种、不同树种不同器官、相同树种不同器官的含碳率差异显著,另外,木质组成、器官的相对位置、干燥温度、地区差异、种源、气候、立地等因素对含碳率有一定影响。林下植被是森林碳储量研究的重要组成部分,但现有研究很少涉及林下各层植被。指出未来的研究重点为:1)相同树种在不同区域的含碳率稳定性;2)在提高碳储量估算精度的前提下精炼含碳率的影响因子;3)补充时间序列上含碳率的差异性;4)加强对林下植被含碳率的研究。
Organic carbon concentration of plants is one of the key factors for the research on forest carbon sink. This paper summarized the research progress of forest vegetation carbon concentration in the last 20 years and the existing problems and development trend as well as. It was the pointed out that the studies of Chinese vegetation carbon concentration mainly focused on Northeastern China, East China and some areas in the northwest and southwest of China. Now, the main approaches to determine the organic carbon concentration of plants are wet burning and dry burning, while the H2SO4-K2Cr207 and the elemental analyzer are also used. The former research revealed that the carbon concentration of different species, organs, and the same organs in different species has significant differences. In addition, many factors have the significant effect on carbon concentration, such as woody composition, the relative position of organs, the dry temperature, the regional difference, provenance, climate and site, etc. The study of undergrowth is an important part of the forest carbon storage research. Based on the above key issues, the future research directions were pointed out as ： 1 ） the stability of carbon concentration of the same species at the different regions ; 2） to refine the influencing factors and increase the accuracy of the carbon sink estimation ; 3 ） the differences of carbon concentration in different areas; 4） to strengthen the study of the undergrowth carbon concentration.
出处
《世界林业研究》
CSCD
北大核心
2013年第1期24-30,共7页
World Forestry Research
基金
林业公益性行业科研专项基于林改的森林多功能经营技术研究与示范(200904003-1)
关键词
植物含碳率
碳汇估算
影响因素
carbon concentration, carbon sink estimation, influencing factors
