长江流域资源与环境 >> 2013, Vol. 22 >> Issue (11): 1333-.

• 自然资源 • 上一篇    下一篇

青海省近20年森林植被碳储量变化及其现状分析

卢 航|刘 康 |吴金鸿   

  1. (西北大学城市与环境学院|陕西 西安 710127)
  • 出版日期:2013-10-20

 CHANGE OF CARBON STORAGE IN FOREST VEGETATION AND CURRENT SITUATION ANALYSIS OF QINGHAI PRONVINCE IN RECCENT 20 YEARS

LU Hang|LIU Kang|WU Jinhong   

  1. (College of Urban and Environmental Science|Northwestern University,Xian 710127, China)
  • Online:2013-10-20

摘要:

基于林业生态功能和青海省森林资源清查数据,采用森林植被生物量换算因子连续函数法,系统估算与分析青海省森林植被碳储量、碳密度,研究其近20 a碳储量变化并进行现状分析。结果表明:(1)青海省森林碳储量为11 182 64222 t,占同时期全国总碳储量的198%,青海省森林生态系统中面积占较大比重的中龄林,其碳储量尚未达到最大,有较大发展空间;(2)青海省近20 a天然林类型中碳储量较大的前4种分别是:柏木(Cupressus funebris)、桦木(Betula)、杨树(Populus)、云杉(Picea asperata)天然林,表明这几种天然林在青海省森林植被中占有重要的地位,其集中分布对区域生态功能的发挥起主导作用;(3)所采用的碳储量估算方法尚存不足,在以后计算中应考虑根据不同林分类型的含碳量进行计算

Abstract:

The forest is one of the important carbon pool in terrestrial ecosystems,it plays an irreplaceable role in reducing the accumulation of greenhouse gases and slowing global warming.So accurately estimating and analysing vasious carbon storage of terrestrial ecosystem ,carbon density,realistic assessment of the different types of vegetation and soil carbon storage capacity played the important role played in treasonable evaluation of terrestrial ecosystems in the global carbon cycle.Forest carbon sequestration is the key parameters to researching the relationship between forests and atmospheric carbon exchange and estimateing the forest absorption or the emission of carboncontaining gas.We can study them through traditional harvest method,the method of sample investigation,the method of tree rings,the method of estimation by Remote Sensing,the method of flux measurement and model simulation.The biomass of forest communities is the best indicator of the productivity of the forest.The biomass of forest communities which is also the most direct expression of the level of ecosystems.Forest ecosystem structure and function is also a comprehensive reflection of the quality of the environmental quality of the forest ecosystem.Forest carbon storage is the basic parameters of studying the exchange of carbon between the forest and the atmosphere.Based on ecological function and forest resources inventory data in Qinghai province and the Biomass Expansion Factor (BEF) method we estimated carbon storage and carbon density of forest vegetation in Qinghai Province,China.We found the results showed that the carbon storage of arbor forest in Qinghai Province is 11 182 642.22 t,the date accounting for 1.98% of the same period of the country's total carbon storage.Accounting to our analysis,the middleaged forest type is a larger proportion of carbon storage which have not yet reached the maximum,and if people utilize a better management it will have its development space in forest ecosystem of Qinghai Province.The first four natural forest types in carbon storage of Qinghai Province in the past 20 years are: Chamaecyparis funebris Betula spp Populus Picea asperata,which shows that these types of natural forests in Qinghai forest vegetation occupies an important position.The estimation method of The carbon storage in this paper still have problems that we should consider different forest types and use different methods of calculation

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 陈 勇,陈国阶,杨定国. 岷江上游聚落分布规律及其生态特征——以四川理县为例[J]. 长江流域资源与环境, 2004, 13(1): 72 -77 .
[2] 陈正洪,万素琴,毛以伟. 三峡库区复杂地形下的降雨时空分布特点分析[J]. 长江流域资源与环境, 2005, 14(5): 623 -627 .
[3] 张磊,董立新,吴炳方,周万村. 三峡水库建设前后库区10年土地覆盖变化[J]. 长江流域资源与环境, 2007, 16(1): 107 -112 .
[4] 张 政, 付融冰| 杨海真, 顾国维. 水量衡算条件下人工湿地对有机物的去除[J]. 长江流域资源与环境, 2007, 16(3): 363 .
[5] 禹 娜,陈立侨,赵泉鸿. 太湖介形类动物丰度与生物量[J]. 长江流域资源与环境, 2008, 17(4): 546 .
[6] 孔令强. 水电工程农村移民入股安置模式初探[J]. 长江流域资源与环境, 2008, 17(2): 185 .
[7] 许素芳,周寅康. 开发区土地利用的可持续性评价及实践研究——以芜湖经济技术开发区为例[J]. 长江流域资源与环境, 2006, 15(4): 453 -457 .
[8] 郝汉舟, 靳孟贵, 曹李靖, 谢先军. 模糊数学在水质综合评价中的应用[J]. 长江流域资源与环境, 2006, 15(Sup1): 83 -87 .
[9] 于苏俊,张 继,夏永秋. 基于遗传算法的可持续土地利用动态规划[J]. 长江流域资源与环境, 2006, 15(2): 180 -184 .
[10] 刘耀彬, 李仁东. 现阶段湖北省经济发展的地域差异分析[J]. 长江流域资源与环境, 2004, 13(1): 12 -17 .