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基于森林资源二类调查的青海乔木林碳储量分析 被引量:6

Analysis of Forest Carbon Storage based on Forest Inventory Data in Qinghai Province
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摘要 以青海省森林资源二类调查为基础,结合样地调查资料、解析木资料等,综合应用模型模拟、尺度扩展和GIS等方法,分析青海省乔木林碳储量现状。结果表明,(1)2009年青海省乔木林植被碳储量约为28.55×10~6Mg,平均碳密度约为44.24Mg/hm^2;(2)青海省乔木林碳主要分布在天然林中,占青海乔木林碳库总量的89.83%,碳密度同样以天然林为高(46.19Mg/hm^2);(3)有林地中纯林碳储量最高,占乔木林碳库总量的84.28%;碳密度则以混交林为最高,达60.20Mg/hm^2;(4)青海省四大乔木树种(组)(云杉、圆柏、桦木和杨树)的碳储量占全省乔木林植被碳储量的98.07%,碳密度方面居前5的树种(组)为云杉(74.03Mg/hm^2)、桦木(55.76Mg/hm^2)、油松39.24(Mg/hm^2)、栎类(37.49Mg/hm^2)、圆柏(29.61Mg/hm^2);(5)青海省乔木林主要以中幼林为主,占总面积的63.19%,正处于快速生长阶段。 Based on data from forest inventory,sample survey and stem analysis,carbon storage of arbor forest including tree layer,shrub layer and herb layer were analyzed with methods such as biomass model,up-scaling and GIS. The results were as the fellows:( 1) In 2009,carbon storage and carbon density in forest vegetation of Qinghai were 28. 55×10^6Mg and 44. 24 Mg/hm^2respectively;( 2) The forest vegetation carbon mainly distributed in natural forest,total vegetation carbon storage of which accounted for 89. 83% of total vegetation carbon pool in tree forest of Qinghai Province. Carbon density of natural forest is much higher than that of plantation;( 3) In all land use types,carbon storage of pure forest is the highest( 84. 28%),while carbon density of mixed forest is the highest( 60. 20Mg/hm^2);( 4) Carbon storage of tree species such as Picea asperata,Sabina chinensis,Betula and Populus are accounted 98. 07% of total vegetation carbon storage in tree forest of Qinghai Province. The top five carbon density species are Picea asperata( 74. 03 Mg/hm^2),Betula( 55. 76 Mg/hm^2),Pinus tabuliformis( 39. 24Mg/hm^2),Quercus( 37. 49Mg/hm^2) and Sabina chinensis( 29. 61 Mg/hm^2);( 5) The arbor forests in Qinghai province are mainly composed of young forest with high growth rate,which accounted for 63. 19% of total arbor forests in Qinghai. The arbor forests in Qinghai are in the rapid growth stage.
出处 《西部林业科学》 CAS 2017年第2期1-7,共7页 Journal of West China Forestry Science
基金 青海省林业厅项目(QHGH2013-001)
关键词 青海 乔木林 碳储量 碳密度 生物量模型 森林资源 Qinghai Province arbor forest carbon storage carbon density biomass model forest resources
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