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作 者:娄雪婷[1] 曾源[1] 吴炳方[1] 苏常红[2] 徐延达[2] 赵炎[1]
机构地区:[1]中国科学院遥感应用研究所,北京100101 [2]中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京100085
出 处:《资源科学》2010年第11期2229-2238,共10页Resources Science
基 金:国家重点基础研究发展计划项目:"区域生态系统服务功能的尺度特征与综合集成"(编号:2009CB421104);中国科学院知识创新工程重大项目(编号:KZCX1-YW-08-02)
摘 要:黄土高原地区水土流失严重、生态环境恶化,研究其代表区域—延河流域有利于指导植被建设。本文利用2009年生长季的环境减灾小卫星影像,以基于遥感的统计模型法估算了延河流域的阔叶林地上生物量,分析了阔叶林地上生物量与自然、社会条件等方面的相关性,探寻了影响阔叶林地上生物量空间分布的因素。分析结果表明:延河流域阔叶林地上生物量均值为34.45t/hm2,其空间分布特征是南高北低,东西低中部高,其最高值可达209.2t/hm2;气候、地形、植物种类、人为活动四项因子都对生物量的空间分布产生了影响,但制约该地区森林发育的最重要因子还是气候影响中的水分;人类生产生活与阔叶林地上生物量有着相似的分布区域,形成了经济发达地区阔叶林生物量高于欠发达地区的格局,主要原因是当地人为改善环境及国家政策的实施。Above-ground biomass of forest is one of the most critical variables for measuring the ecological system productivity of forest.Monitoring forest above-ground biomass provides the basis for exploring the carbon cycle of a forest ecological system.In this regard,forest biomass is of importance to research and applications in forest ecological systems.However,the distribution of forest biomass in the arid-semiarid region based on vegetation index has been far less than clear. Soil erosion is serious across the Loess Plateau,and the environment is incrementally degraded. Studying the forest above-ground biomass over a typical region in the Loess Plateau,the Yanhe basin,would provide valuable reference for reconstruction of vegetation over this region.The authors extracted broadleaf forest information from remote sensing,achieving a classification accuracy of 80.4%.Based on images acquired by Satellite HJ-1 in the growing season in year 2009 and samples collected over the study area,the forest above-ground biomass of the broadleaf forest in the Yanhe basin was estimated by empirical models of remote sensing.We calculated the correlation between five vegetation indices,i.e.,Normalized Difference Vegetation Index(NDVI), Ratio Vegetation Index(RVI),Atmospherically Resistant Vegetation Index(ARVI),Modified Soil Adjusted Vegetation Index(MSAVI),and Soil Adjusted Vegetation Index(SAVI)with the above-ground biomass of the forest,indicating that ARVI seems to be the best index reflecting the above-ground biomass.A forest biomass model was subsequently built based on ARVI.The F test examination showed that the above-ground biomass of the forest was correlated significantly with ARVI,suggesting a correlation coefficient of 0.8114.Based on the simulated biomass,the relationships between the biomass and natural-social factors were examined in detail.Factors affecting the spatial distribution of the biomass were extensively discussed.Results showed that in the study basin,the mean biomass of the above-ground b
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