基于遥感信息模型的香格里拉森林生物量估算

森林生物量是陆地生态系统碳循环过程中最主要的参数，森林生物量准确估算是进行森林碳循环和碳储量及变化分析的基础。以香格里拉这一特殊区域为研究区，以野外调查样方数据为基础，利用植被指数、降水、积温、太阳总辐射量、海拔等多个因子，组合成遥感综合因子层、地理综合因子层与水、光、热一同构成变量，建立了研究区丽江云杉Picea likiangensis-长苞冷杉Abies georgei林，川滇高山栎Quercus aquifolioides林，云南松Pinus yunnanensis林，高山松Pinus densata林等4个建群种森林生物量遥感估算模型，并进行了检验。据此模型开展其生物量估算研究，结果表明:研究区4种森林总生物量为1.14亿 t，其中云冷杉林、栎类林、云南松林、高山松林4种森林的生物量分别是0.715亿t，0.14亿t，0.09亿t和0.20亿t；4种森林总的生物量分布在海拔、坡度上都具有明显的规律，在坡向上无明显分布规律。图1表7参10

Forest biomass estimation in Shangri-La based on the remote sensing

To provide a basis for analyzing the forest carbon cycle，carbon storage，and carbon changes，forest biomass，the main parameter for determining carbon cycle processes in terrestrial ecosystems，was estimated. Variables measured in the study site of Shangri-La，Yunnan Province，included the vegetation index，precipitation，accumulated temperature，total radiation，and elevation. Established models of regional forest biomass estimations for spruce-fir forests （Abies georgei and Picea likiangensis），oak forests （Quercus aquifolioides），Yunnan pine forests （Pinus yunnanensis），and alpine pine forests （Pinus densata） were tested by combining layers of remote sensing integrated factors，of geographic comprehensive factors，and of the above listed variables. Then，forest biomass was estimated. Results revealed a total biomass of 1.14 hundred million tons with the following forest type biomass estimates in hundred million tons:spruce fir forests was 0.71，oak forests 0.14，Yunnan pine forests 0.09，and Alpine pine forests 0.20. Also，for these forest types，altitude and slope influenced distribution of total biomass，but aspect did not.［Ch，1 fig. 7 tab. 10 ref.］