本文選題：亞馬遜熱帶雨林 + 葉面積指數(shù)��； 參考：《遙感學報》2016年01期

【摘要】：利用1982—2012年的GLASS LAI數(shù)據(jù),結(jié)合世界糧農(nóng)組織(FAO)2000年發(fā)布的全球生態(tài)環(huán)境分類圖,對亞馬遜熱帶雨林31年的植被變化進行了綜合分析,采用點與面相結(jié)合的分析方法,全面地反映雨林植被的變化情況。不同于過去研究中固定研究范圍或直接研究整個南美洲區(qū)域,本文采用動態(tài)靜態(tài)邊界相結(jié)合的方法,在考慮熱帶雨林動態(tài)范圍變化的同時也強調(diào)研究區(qū)域的內(nèi)部變化。結(jié)果顯示,亞馬遜熱帶雨林葉面積指數(shù)在31年中整體呈現(xiàn)波動變化,進入2000年以后,熱帶雨林范圍內(nèi)平均葉面積指數(shù)先下降后增加,整體相對穩(wěn)定。在空間分布上,由于人類毀林開荒,巴西境內(nèi)的熱帶雨林以及熱帶雨林部分邊緣地帶的葉面積指數(shù)在31年中明顯下降,熱帶雨林東南邊界持續(xù)收縮;除此之外,雨林內(nèi)部的葉面積指數(shù)波動上升,這是受到全球氣候變暖的影響。結(jié)果與過去的研究進行對比,具有較好的一致性。研究論證了利用具有中國自主知識產(chǎn)權(quán)的GLASS LAI數(shù)據(jù)可以進行長時間序列大尺度的地表植被狀況監(jiān)測。
[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.
【作者單位】： 北京師范大學地理學與遙感科學學院;北京師范大學遙感科學國家重點實驗室;
【基金】：國家自然科學基金(編號:41171262) 國家高技術(shù)研究發(fā)展計劃(863計劃)(編號:2013aa122801)~~
【分類號】：S718.5

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