文献类型： 外文期刊

作者： Lin, Meizhi ¹ ; Ling, Qingping ³ ; Pei, Huiqing ⁴ ; Song, Yanni ³ ; Qiu, Zixuan ¹ ; Wang, Cai ³ ; Liu, Tiedong ³ ; Gong, ¹ ;

作者机构： 1.Hainan Univ, Coll Forestry, Key Lab Genet & Germplasm Innovat Trop Special Fo, Minist Educ, Haikou 570228, Hainan, Peoples R China

2.Chinese Acad Trop Agr Sci, Rubber Res Inst, Danzhou 571737, Peoples R China

3.Hainan Univ, Intelligent Forestry Key Lab Haikou City, Coll Forestry, Haikou 570228, Hainan, Peoples R China

4.Univ Tokyo, Grad Sch Agr & Life Sci, Dept Global Agr Sci, Tokyo 1138657, Japan

关键词： tropical rainforest ecosystem; forest biomass; forest spatiotemporal evolution; forest environmental information; estimation models in remote sensing

期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）

ISSN：

年卷期： 2021 年 13 卷 9 期

页码：

收录情况： SCI

摘要： The largest area of tropical rainforests in China is on Hainan Island, and it is an important part of the world's tropical rainforests. The structure of the tropical rainforests in Hainan is complex, the biomass density is high, and conducting ground surveys is difficult, costly, and time-consuming. Remote sensing is a good monitoring method for biomass estimation. However, the saturation phenomenon of such data from different satellite sensors results in low forest biomass estimation accuracy in tropical rainforests with high biomass density. Based on environmental information, the biomass of permanent sample plots, and forest age, this study established a tropical rainforest database for Hainan. Forest age and 14 types of environmental information, combined with an enhanced vegetation index (EVI), were introduced to establish a tropical rainforest biomass estimation model for remote sensing that can overcome the saturation phenomenon present when using remote sensing data. The fitting determination coefficient R-2 of the model was 0.694. The remote sensing estimate of relative bias was 2.29%, and the relative root mean square error was 35.41%. The tropical rainforest biomass in Hainan Island is mainly distributed in the central mountainous and southern areas. The tropical rainforests in the northern and coastal areas have been severely damaged by tourism and real estate development. Particularly in low-altitude areas, large areas of tropical rainforest have been replaced by economic forests. Furthermore, the tropical rainforest areas in some cities and counties have decreased, affecting the increase in tropical rainforest biomass. On Hainan Island, there were few tropical rainforests in areas with high rainfall. Therefore, afforestation in these areas could maximize the ecological benefits of tropical rainforests. To further strengthen the protection, there is an urgent need to establish a feasible, reliable, and effective tropical rainforest loss assessment system using quantitative scientific methodologies.