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大兴安岭5种典型林型森林生物碳储量
引用本文:胡海清,罗碧珍,魏书精,魏书威,文正敏,孙龙,罗斯生,王立明,马洪斌.大兴安岭5种典型林型森林生物碳储量[J].生态学报,2015,35(17):5745-5760.
作者姓名:胡海清  罗碧珍  魏书精  魏书威  文正敏  孙龙  罗斯生  王立明  马洪斌
作者单位:东北林业大学, 林学院, 哈尔滨 150040,东北林业大学, 林学院, 哈尔滨 150040,东北林业大学, 林学院, 哈尔滨 150040;桂林理工大学, 土木与建筑工程学院, 桂林 541004;广西建筑新能源与节能重点实验室, 桂林 541004,兰州理工大学, 设计艺术学院, 兰州 730050,桂林理工大学, 土木与建筑工程学院, 桂林 541004;广西建筑新能源与节能重点实验室, 桂林 541004,东北林业大学, 林学院, 哈尔滨 150040,东北林业大学, 林学院, 哈尔滨 150040,东北林业大学, 林学院, 哈尔滨 150040,东北林业大学, 林学院, 哈尔滨 150040
基金项目:黑龙江省博士后基金(LBH-Z13012); 广西自然科学基金(2014GXNSFBA118108); 国家科技支撑计划项目(2011BAD37B01); 国家自然科学基金项目(51208244, 31070544); 黑龙江省科技攻关重点项目(GA09B201-06); 国家973项目(2011CB403203); 国家公益性行业科研重大专项(201404402)
摘    要:森林生态系统是陆地生态系统的重要碳库,森林生态系统的生物碳储量作为森林生态系统碳库的重要组成部分,对全球碳循环与碳平衡产生重要作用。以大兴安岭5种典型林型为研究对象,结合森林资源清查资料,采用地理信息技术(GIS),将5种林型分龄组分别对乔木层、林下的灌木层、草本层和凋落物层各组分的单位面积生物量、含碳率和生物碳储量进行测定和计量估算,并从林分水平上,采用分龄组的方法,计量估算了生物碳储量。结果表明:大兴安岭5种典型林型不同龄组的生物碳储量分别为:兴安落叶松幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为15.20、50.96、95.80t/hm2和109.33t/hm2;白桦幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为15.36、30.67、41.62t/hm2和64.35t/hm2;樟子松幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为29.89、59.92、90.01t/hm2和117.08t/hm2;蒙古栎幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为11.17、11.90、34.94t/hm2和59.49t/hm2;山杨幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为21.81、28.58、42.84t/hm2和64.39t/hm2。研究发现:5种典型林型不同龄组的森林生物碳储量均随着林龄(幼龄林、中龄林、近熟林和成熟林)的增长而增加,但不同林型的碳汇功能存在差异,同一种林型在不同林龄的生物碳储量增幅差异亦较大。尤其是大兴安岭目前林分质量比较差,幼龄林和中龄林所占的比重较大,若能对现有林分加以更好地抚育和管理,该区森林植被仍具有较大的碳汇潜力,碳汇功能将进一步增强,大兴安岭在国家的生态功能区建设中将发挥更重要的碳汇功能,对此提出了森林生态系统碳增汇管理策略与管理路径。研究结果为正确认识森林生物碳储量对区域碳平衡及生态环境的影响具有重要意义,以及在未来营林、造林活动中充分发挥人工林碳汇效应提供参考依据。

关 键 词:森林生物量  碳储量  典型林型  大兴安岭  森林生态系统管理  碳汇管理措施
收稿时间:2013/12/29 0:00:00
修稿时间:2014/11/3 0:00:00

Estimating biological carbon storage of five typical forest types in the Daxing' anling Mountains, Heilongjiang, China
HU Haiqing,LUO Bizhen,WEI Shujing,WEI Shuwei,WEN Zhengmin,SUN Long,LUO Sisheng,WANG Liming and MA Hongbin.Estimating biological carbon storage of five typical forest types in the Daxing' anling Mountains, Heilongjiang, China[J].Acta Ecologica Sinica,2015,35(17):5745-5760.
Authors:HU Haiqing  LUO Bizhen  WEI Shujing  WEI Shuwei  WEN Zhengmin  SUN Long  LUO Sisheng  WANG Liming and MA Hongbin
Institution:College of Forestry, Northeast Forestry University, Harbin 150040, China,College of Forestry, Northeast Forestry University, Harbin 150040, China,College of Forestry, Northeast Forestry University, Harbin 150040, China;College of Civil Engineering and Architecture, Guilin University of Technology, Guilin 541004, China;Guangxi Key Laboratory of New Energy and Building Energy Saving, Guilin 541004, China,College of Design Art, Lanzhou University of Technology, Lanzhou 730050, China,College of Civil Engineering and Architecture, Guilin University of Technology, Guilin 541004, China;Guangxi Key Laboratory of New Energy and Building Energy Saving, Guilin 541004, China,College of Forestry, Northeast Forestry University, Harbin 150040, China,College of Forestry, Northeast Forestry University, Harbin 150040, China,College of Forestry, Northeast Forestry University, Harbin 150040, China and College of Forestry, Northeast Forestry University, Harbin 150040, China
Abstract:As global climate change continues to accelerate, biological carbon storage, which plays an important ecological role in forest ecosystems, have a very significant effect on carbon emissions and carbon sinks and also play an important role in carbon cycle. Forest ecosystems, as a principal component of terrestrial ecosystems, are the world'' s largest carbon (C) pool and C sink. The amount of C storage in vegetation plays an important role in global C cycle and C balance. Scientifically and effectively measuring biological C storage provides important data needed for understanding the significance of forest biomass in the C cycle as well as for understanding climate change. This study analyzed biological C storage in typical forest types in the Daxing''anling Mountains in Heilongjiang Province, China, using forest inventory data and geographic information system technology. Five typical forest types in the Daxing''anling Mountains were studied using various age groups and different forest components (trees, shrubs, herbs and litter), specifically Larix gmelinii, Betula platyphylla, Pinus sylvestris var. mongolica, Quercus mongolica, and Populus davidiana forests. For each forest type, tree, understory shrub, herb, and litter layers were surveyed to determine and measure biomass per unit area, C biomass, and C forest stocks. At the stand level, age groups were classified so that estimates of forest biomass and forest C stocks in the study area could be calculated. The biomasses in different age groups of the five typical forest types in the Daxing''anling Mountains including young forest, middle-aged forest, near mature forest, and mature forest were analyzed:. Biomass per unit area of Larix gmelinii forests for these four age groups was 31.00 t/hm2, 101.29 t/hm2, 188.46 t/hm2, and 215.23 t/hm2, respectively. Similarly, the same four age groups of Betula platyphylla forests held 33.13 t/hm2, 65.64 t/hm2, 88.67 t/hm2, and 136.38 t/hm2 of biomass per unit area; the four age groups of Pinus sylvestris var. mongolica forests had 61.22 t/hm2, 120.30 t/hm2, 179.10 t/hm2, and 229.43 t/hm2 of biomass per unit area; the four age groups of Quercus mongolica forests had 23.89 t/hm2, 25.00 t/hm2, 70.70 t/hm2, and 126.20 t/hm2 of biomass per unit area; and, the four age groups of Populus davidiana forests had 47.28 t/hm2, 61.71 t/hm2, 91.16 t/hm2, and 135.53 t/hm2 of biomass per unit area, respectively. Our study determined that biological C storage of the five typical forest types in different age groups varied widely in the Daxing''anling Mountains. C storage per unit area for young forest, middle-aged forest, near mature forest, and mature forest listed in respective order, for each forest type are as follows: 15.20 t/hm2, 50.96 t/hm2, 95.80 t/hm2, and 109.33t/hm2 for Larix gmelinii forests; 15.36 t/hm2, 30.67 t/hm2, 41.62 t/hm2, and 64.35t/hm2 for Betula platyphylla forests; 29.89 t/hm2, 59.92 t/hm2, 90.01 t/hm2, and 117.08 t/hm2 for Pinus sylvestris var. mongolica forests; 11.17 t/hm2, 11.90 t/hm2, 34.94 t/hm2, and 59.49 t/hm2 for Quercus mongolica forests; and, 21.81 t/hm2, 28.58 t/hm2, 42.84 t/hm2, and 64.39 t/hm2 for Populus davidiana forests. These results show that biological C stocks in the Daxing''anling Mountains play an important role in the C cycle and regional C balance. Different age groups in five typical forest types serve as forest C stocks based on forest biological age with the C stock increasing with forest growth and aging. Nevertheless, the type of forest C sink function varies in different forest types, although the same types of large differences were observed in biological C forest reserves in stands of different ages among the five forest types. Because most of the growth in the five major forest types occurs in young and middle-aged forest, forests at these ages have a great potential to provide C storage in forest vegetation. This significant C sink function is further enhanced in the Daxing''anling Mountains area with the development and restoration of areas designed to provide specific ecological services including important role as C sinks. In order to achieve sustainable development of these forest ecosystem, a defined C management strategy should be developed that includes an increasing use of these potential C sinks and simultaneously includes plans for the management of economic growth. Our findings are important for land managers and other stakeholders who need to gain correct understanding of biological effects of forest C stocks and C balance as part of regional ecological analysis. Our results also provide reference data related to the full effect of forest plantations as C sinks as it relates to future silvicultural and reforestation activities.
Keywords:forest biomass  carbon storage  typical forest types  Daxing''anling Mountains  forest ecosystem management  carbon sink management measures
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