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基于遥感信息的道孚县亚高山森林植被地上碳储量估算及其空间分布特征 被引量:8

Aboveground Carbon Storage and Its Spatial Distribution in the Subalpine Forest of Daofu County Based on Remote Sensing Model
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摘要 遥感技术是估测区域森林植被生物量的有效手段之一.本研究应用2007年9月TM影像数据,结合森林地上生物量实测数据,建立了研究区道孚县木茹林场森林植被地上部分碳储量模型.结果表明研究区森林植被总碳储量为1.73 TgC,其中亚高山针叶林、阔叶林和灌木林碳储量分别为1.26、0.11和0.36 TgC,针叶林占总碳储量的72.83%,是该区域的最大森林植被碳库.研究区域森林植被碳储量随海拔变化表现为以海拔3 400-3 800 m为中心向两极递减,随坡度变化表现为陡坡>斜坡>急坡>缓坡>平坡>险坡,随坡向变化表现为阴坡>半阳坡>半阴坡>阳坡>无坡向.植被碳密度随海拔梯度变化未表现出明显的规律,因坡向不同差异不大,但不同植被类型因坡向不同,碳密度差异较大,植被碳密度随坡度的增大呈增加的趋势. Based on the TM image data in September 2007 and investigation results of the field biomass of 45 sampling plots, this research established a remote sensing estimation model to assess the biomass of coniferous forest, broad-leaved forest, and shrubbery, and to estimate the carbon storage of the subalpine forest in Muru forest farm, Daofu County, western Sichuan in China. The result showed that the total carbon storage of forest vegetation in the study region was 1.73 TgC, the average carbon density was 70.55 t hm-2. Coniferous forest, with carbon storage of 1.26 TgC, was the primary component of forest carbon pool in the region, accounting for 72.83% of the regional total carbon storage. The total carbon storage changed with elevation, being the highest at the elevation of 3 400-3 800 m and diminishing with higher or lower altitudes. It also varied with the slope as abrupt slope 〉 slope 〉 steep slope 〉 gentle slope 〉 flat slope 〉 dangerous slope. In terms of the slope aspect, the total carbon storage presented the order of shady 〉 half-sunny 〉 half-shady 〉 sunny 〉 fiat. There was no obvious relationship among vegetation carbon density, altitude gradient and aspect. The vegetation carbon density increased with slope gradient, mainly due to the fewer disturbances, longer time for vegetation growth, and larger biomass. Tab 6, Ref21
出处 《应用与环境生物学报》 CAS CSCD 北大核心 2013年第4期593-597,共5页 Chinese Journal of Applied and Environmental Biology
基金 "十一五"国家科技支撑计划课题(2006BAD23B05)资助~~
关键词 川西亚高山森林 遥感 森林植被碳储量 空间分布 sub-alpine forest of western Sichuan remote sensing carbon storage of forest vegetation spatial distribution
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