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林火干扰对广东省2种典型针叶林森林生物碳密度的影响
引用本文:胡海清,罗斯生,罗碧珍,魏书精,李小川,王振师,吴泽鹏,周宇飞,刘菲.林火干扰对广东省2种典型针叶林森林生物碳密度的影响[J].林业科学研究,2020,33(1):19-27.
作者姓名:胡海清  罗斯生  罗碧珍  魏书精  李小川  王振师  吴泽鹏  周宇飞  刘菲
作者单位:东北林业大学林学院,黑龙江哈尔滨150040;广东省森林培育与保护利用重点实验室,广东省林业科学研究院,广东广州510520
基金项目:国家林业公益性行业科研专项(201404402);国家自然科学基金面上项目(31470657);广西自然科学基金项目(2014GXNSFBA118108);中央高校基本科研业务费专项资金(2572017PZ05)。
摘    要:目的]定量研究不同林火干扰对森林生物碳库的变化规律,揭示林火干扰对森林生物碳密度的影响机制,为林火干扰后森林生态系统碳汇管理提供参考依据。方法]以广东省亚热带2种典型针叶林为研究对象,采用相邻样地比较法,以野外调查采样与室内试验分析为主要手段,定量测定不同林火干扰强度对森林生物碳库(植被碳库和凋落物碳库)碳密度与碳分配格局的影响。结果]林火干扰对亚热带2种典型针叶林的植被和凋落物碳密度有影响,均表现为对照>轻度林火干扰>中度林火干扰>重度林火干扰。轻度林火干扰对植被碳密度的影响差异不显著(P<0.05),而中度和重度林火干扰则显著降低了植被碳密度(P<0.05).相同林火干扰强度下,植被各组分碳密度的变化均表现为乔木最大。乔木碳密度在不同林火干扰强度下均呈现为对照>轻度林火干扰>中度林火干扰>重度林火干扰,而草本碳密度则呈现与乔木碳密度相反的变化趋势。林火干扰显著影响乔木和草本碳密度,亦对灌木碳密度产生了影响。不同林火干扰强度对凋落物碳密度的影响有所差异,但不同林火干扰强度均显著减少了凋落物碳密度(P<0.05),并随林火干扰强度的增加其减少幅度增大。结论]林火干扰减少了植被和凋落物碳密度,进而对森林生态系统的碳密度产生重要影响。

关 键 词:森林生物量  碳密度  林火干扰  影响机制  亚热带针叶林

Effect of Forest Fire Disturbance on Biological Carbon Density of Two Typical Coniferous Forests in Guangdong Province,China
HU Hai-qing,LUO Si-sheng,LUO Bi-zhen,WEI Shu-jing,LI Xiao-chuan,WANG Zhen-shi,WU Ze-peng,ZHOU Yu-fei,LIU Fei.Effect of Forest Fire Disturbance on Biological Carbon Density of Two Typical Coniferous Forests in Guangdong Province,China[J].Forest Research,2020,33(1):19-27.
Authors:HU Hai-qing  LUO Si-sheng  LUO Bi-zhen  WEI Shu-jing  LI Xiao-chuan  WANG Zhen-shi  WU Ze-peng  ZHOU Yu-fei  LIU Fei
Affiliation:(College of Forestry,Northeast Forestry University,Harbin 150040,Heilongjiang,China;Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization,Guangdong Academy of Forestry,Guangzhou 510520,Guangdong,China)
Abstract:Objective]To study the variation law of forest fire disturbance to forest biological carbon pool,and to reveal the mechanism of forest fire disturbance on forest biological carbon density,so as to provide references for the management of carbon sink in forest ecosystems after fire disturbance.Method]Taking 2 typical subtropical coniferous forests in Guangdong province as the research object,the effects of different forest fire intensity on carbon density and carbon distribution of forest biological carbon pool(vegetation carbon pool and litterfoll carbon pool)were measured quantitatively at the level of forest ecosystem by using the method of adjacent plots comparison with the analysis of field investigation sampling and laboratory test as the main means.Result]The results showed that forest fire disturbance had an effect on the carbon density of vegetation and litterfall in the 2 coniferous forests,and can be ranked according to the severity degree as control>light forest fire disturbance>moderate forest fire disturbance>high forest fire disturbance.There was no significant difference in the effect of light forest fire disturbance on the carbon density of vegetation(P>0.05),while moderate and high forest fire disturbance significantly reduced the carbon density of vegetation(P<0.05).Under same forest fire intensity,the tree showed the largest change in carbon density of vegetation components.Under different forest fire intensity,the carbon density change of trees followed the order of control>light forest fire interference>moderate forest fire disturbance>high forest fire disturbance,while the change of carbon density of herbs showed a trend opposite to carbon density of trees.The intensity of forest fire disturbance significantly affected the carbon density of trees and herbs,and also had an effect on the carbon density of shrubs.The effects of different forest fire intensity on the carbon density of litterfall varied,but the carbon density of litterfall was significantly reduced by various forest fire intensity(P<0.05),and the extent increased with the increase of forest fire intensity.Conclusion]Forest fire disturbance reduces the carbon density of vegetation and litterfall,which in turn has an important effect on the carbon density of forest ecosystem.
Keywords:forest biomass  carbon density  forest fire disturbance  influence mechanism  subtropical coniferous forest
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