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洪雅退耕还林地苦竹生物量与碳储量研究 被引量:1

Biomass and Carbon Storage of Pleioblastus amarus on the Defarming-and-reafforestation Land in Hongya County
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摘要 采用多元线性回归和一元曲线方式拟合苦竹形态因子、苦竹器官生物量与单株生物量模型,进而对洪雅县华西雨屏区退耕还林地苦竹生物量、碳储量进行了研究。结果表明:(2)研究区苦竹平均高为7.50 m,平均胸径为3.48 cm,平均生物量为2.09 kg.株-1,总生物量为90.02 t.hm-2;(2)在相关性分析基础上,以复相关系数和判定系数为标准,筛选出器官生物量-形态因子最佳模型为Y=-1.245+0.135D+0.147H+0.236 d;总生物量-形态因子最佳模型为Y=e(2.200-5.085/D);总生物量-器官生物量最佳模型为Y=0.109+1.069x1+2.526x2+1.059x3;⑶苦竹各器官碳含量在0.421 7 g.g-1~0.551 1 g.g-1范围内,碳含量从高到低依次为:鞭>杆>蔸>根>枝>叶。⑷以实测碳含量计算得苦竹碳储量为44.55 t.hm-2,以0.45 g.g-1或0.5 g.g-1计算所得碳储量与实测碳储量均存在一定误差,误差最大可达16.63%。 In this paper, researches were conducted on the biomass and carbon storage of Pleioblastus am- arus on the defarming-and-reafforestation land in Yuping District of Hongya County by adopting the multi- ple linear regression and curves models of shape factors, organs' biomass and total biomass. The results showed that (1)The Pleioblastus amarus' average height was 7.50 m, the average DBH (diameter at breast height) was 3.48 cm, the average biomass of modular unit was 2.09kg and the stand crop was 90. 02 t . hm-2 ; (2)By the standard of R and adjusted R square, the best model was chosen on the basis of the correlation analysis. The best model of organs' biomass--shape factors was Y = -1. 245 +0. 135D +0. 147H +0. 236 d; The best model of total biomass--shape factors was Y e^(2.200-5.085/D) = ; The best model of total biomass--organs' biomass was Y = 0. 109 + 1. 069x1 + 2. 526x2 + 1. 059x3 ; ( 3 ) The car- bon content of different organs of Pleioblastus amarus ranged from 0. 421 7 g . g-1 to 0. 551 1 g . g-1, and its order was as follows:rhizome 〉 culm 〉 underground trunk 〉 root 〉 branch 〉 leaf. (4) The carbon stock was 44. 55 t. hm -2 according to the measured value of carbon constant. When 0.45 g. g-1 or 0. 5 -1 g . g ,were used for calculation,some error would appear,its maximum error could reach 16. 63%.
出处 《四川林业科技》 2013年第1期11-16,共6页 Journal of Sichuan Forestry Science and Technology
关键词 苦竹 生物量 碳储量 退耕还林地 洪雅县 Pleioblastus amarus, Biomass, Carbon storage, Defarming-and-reafforestation land, HongyaCounty
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