利用GLASS LAI数据分析1982—2012年亚马逊热带雨林变化

发布时间：2018-04-26 16:02

本文选题：亚马逊热带雨林 + 叶面积指数　；参考：《遥感学报》2016年01期

【摘要】：利用1982—2012年的GLASS LAI数据,结合世界粮农组织(FAO)2000年发布的全球生态环境分类图,对亚马逊热带雨林31年的植被变化进行了综合分析,采用点与面相结合的分析方法,全面地反映雨林植被的变化情况。不同于过去研究中固定研究范围或直接研究整个南美洲区域,本文采用动态静态边界相结合的方法,在考虑热带雨林动态范围变化的同时也强调研究区域的内部变化。结果显示,亚马逊热带雨林叶面积指数在31年中整体呈现波动变化,进入2000年以后,热带雨林范围内平均叶面积指数先下降后增加,整体相对稳定。在空间分布上,由于人类毁林开荒,巴西境内的热带雨林以及热带雨林部分边缘地带的叶面积指数在31年中明显下降,热带雨林东南边界持续收缩;除此之外,雨林内部的叶面积指数波动上升,这是受到全球气候变暖的影响。结果与过去的研究进行对比,具有较好的一致性。研究论证了利用具有中国自主知识产权的GLASS LAI数据可以进行长时间序列大尺度的地表植被状况监测。
[Abstract]:Based on the GLASS LAI data from 1982 to 2012 and the global ecological environmental classification map published by FAO / FAO in 2000, a comprehensive analysis of the vegetation changes in the Amazon rainforest for 31 years has been carried out, and the point and surface analysis method has been adopted. A comprehensive picture of changes in rainforest vegetation. Different from the previous studies in which the study scope is fixed or the entire South American region is studied directly, the dynamic and static boundary method is adopted in this paper, which takes into account the dynamic range changes of the tropical rain forest and emphasizes the internal changes of the study region at the same time. The results showed that the leaf area index of the Amazon rainforest fluctuated in the past 31 years. After 2000, the average leaf area index in the tropical rain forest first decreased and then increased, and the whole leaf area index was relatively stable. In terms of spatial distribution, the index of leaf area in the tropical rainforests and parts of the fringes of the tropical rainforests in Brazil has decreased significantly in 31 years as a result of deforestation, and the southeastern border of the rainforests has continued to shrink; in addition, The leaf area index within the rainforest fluctuates, as a result of global warming. The results were consistent with previous studies. It is demonstrated that using GLASS LAI data with independent intellectual property rights in China can be used to monitor the land surface vegetation on a large scale in a long time series.
【作者单位】：北京师范大学地理学与遥感科学学院;北京师范大学遥感科学国家重点实验室;
【基金】：国家自然科学基金(编号:41171262) 国家高技术研究发展计划(863计划)(编号:2013aa122801)~~
【分类号】：S718.5

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