题名 | Large uncertainty on forest area change in the early 21st century among widely used global land cover datasets |
作者 | |
通讯作者 | Zeng,Zhenzhong |
发表日期 | 2020-11-01
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DOI | |
发表期刊 | |
ISSN | 2072-4292
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EISSN | 2072-4292
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卷号 | 12期号:21页码:1-18 |
摘要 | Forests play an important role in the Earth’s system. Understanding the states and changes in global forests is vital for ecological assessments and forest policy guidance. However, there is no consensus on how global forests have changed based on current datasets. In this study, five global land cover datasets and Global Forest Resources Assessments (FRA) were assessed to reveal uncertainties in the global forest changes in the early 21 century. These datasets displayed substantial divergences in total area, spatial distribution, latitudinal profile, and annual area change from 2001 to 2012. These datasets also display completely divergent conclusions on forest area changes for different countries. Among the datasets, total forest area changes range from an increase of 1.7 × 10 km to a decrease of 1.6 × 10 km. All the datasets show deforestation in the tropics. The accuracies of the datasets in detecting forest cover changes were evaluated by a global land cover validation dataset. The spatial patterns of accuracies are inconsistent among the datasets. This study calls for the development of a more accurate database to support forest policies and to contribute to global actions against climate change. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
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资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20060402]
; National Natural Science Foundation of China (NSFC)[41625001][42071022]
; Southern University of Science and Technology[29/Y01296122]
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WOS研究方向 | Remote Sensing
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WOS类目 | Remote Sensing
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WOS记录号 | WOS:000593533800001
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出版者 | |
EI入藏号 | 20204409426002
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EI主题词 | Climate change
; Uncertainty analysis
; Large dataset
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EI分类号 | Atmospheric Properties:443.1
; Data Processing and Image Processing:723.2
; Agricultural Equipment and Methods; Vegetation and Pest Control:821
; Probability Theory:922.1
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Scopus记录号 | 2-s2.0-85094145891
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来源库 | Scopus
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引用统计 |
被引频次[WOS]:25
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/209132 |
专题 | 工学院_环境科学与工程学院 |
作者单位 | 1.School of Environment,Harbin Institute of Technology,Harbin,150001,China 2.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China 3.World Resources Institute,Washington,20002,United States 4.Department of Engineering Systems and Environment,University of Virginia,Charlottesville,22904,United States 5.Department of Systems Analysis,Integrated Assessment and Modelling,Swiss Federal Institute for Aquatic Science and Technology (Eawag),Dübendorf,8600,Switzerland |
第一作者单位 | 环境科学与工程学院 |
通讯作者单位 | 环境科学与工程学院 |
推荐引用方式 GB/T 7714 |
Chen,He,Zeng,Zhenzhong,Wu,Jie,et al. Large uncertainty on forest area change in the early 21st century among widely used global land cover datasets[J]. Remote Sensing,2020,12(21):1-18.
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APA |
Chen,He.,Zeng,Zhenzhong.,Wu,Jie.,Peng,Liqing.,Lakshmi,Venkataraman.,...&Liu,Junguo.(2020).Large uncertainty on forest area change in the early 21st century among widely used global land cover datasets.Remote Sensing,12(21),1-18.
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MLA |
Chen,He,et al."Large uncertainty on forest area change in the early 21st century among widely used global land cover datasets".Remote Sensing 12.21(2020):1-18.
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
remotesensing-12-035(2594KB) | -- | -- | 开放获取 | -- | 浏览 |
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