文献类型：期刊文献

中文题名：Deforestation in Latin America in the 2000s predominantly occurred outside of typical mature forests

作者：Zhiyu Zhang[1] Wenjian Ni[1,2] Shaun Quegan[3] Jingming Chen[4] Peng Gong[5] Luiz Carlos Estraviz Rodriguez[6] Huadong Guo[1,2] Jiancheng Shi[7] Liangyun Liu[1,2] Zengyuan Li[8] Yating He[9] Qinhuo Liu[1,2] Yosio Shimabukuro[10] Guoqing Sun[11]

第一作者：Zhiyu Zhang

机构：[1]Key Laboratory of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;[2]University of Chinese Academy of Sciences,Shijingshan District,Beijing 100049,China;[3]Chinal of Mathematics and Statistics,University of Sheffield,Sheffield S37RH,UK;[4]Department of Geography and Program in Planning,University of Toronto,Toronto,ON M5S 3G3,Canada;[5]Department of Earth Sciences and Department of Geography,University of Hong Kong,Hong Kong,China;[6]Forest Science Department,Luiz de Queiroz College of Agriculture,University of S?o Paulo,Av.Pádua Dias,11,Piracicaba 13418-900,Brazil;[7]National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China;[8]Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China;[9]Research Institute of Forest Policy and Information,Chinese Academy of Forestry,Beijing 100091,China;[10]Remote Sensing Department,National Institute for Space Research(INPE),Av.dos Astronautas 1758,S?o Josédos Campos 12227-010,Brazil;[11]Department of Geographical Sciences,University of Maryland,College Park,MD 20742,USA

年份：2024

卷号：5

期号：3

起止页码：88-98

中文期刊名：The Innovation

外文期刊名：创新（英文）

收录：Scopus;PubMed

基金：National Natural Science Foundation of China(42022009);National Key Research and Development Program of China(2017YFA0603002);National Natural Science Foundation of China(41471311);as well as by partial support from the National Key Research and Development Program of China(2020YFE0200800);National Natural Science Foundation of China(42090013).

语种：英文

中文关键词：forest;Latin;lidar;

分类号：S71

摘要：The role of tropical forests in the global carbon budget remains controversial,as carbon emissions from deforestation are highly uncertain.This high uncertainty arises from the use of either fixed forest carbon stock density or maps generated from satellite-based optical reflectance with limited sensitivity to biomass to generate accurate estimates of emissions from deforestation.New space missions aiming to accurately map the carbon stock density rely on direct measurements of the spatial structures of forests using lidar and radar.We found that lost forests are special cases,and their spatial structures can be directly measured by combining archived data acquired before and after deforestation by space missions principally aimed at measuring topography.Thus,using biomass mapping,we obtained new estimates of carbon loss from deforestation ahead of forthcoming space missions.Here,using a high-resolution map of forest loss and the synergy of radar and lidar to estimate the aboveground biomass density of forests,we found that deforestation in the 2000s in Latin America,one of the severely deforested regions,mainly occurred in forests with a significantly lower carbon stock density than typical mature forests.