中文版 | English
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
DOI
发表期刊
ISSN
2072-4292
EISSN
2072-4292
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
SCI ; EI
语种
英语
学校署名
通讯
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]
WOS研究方向
Remote Sensing
WOS类目
Remote Sensing
WOS记录号
WOS:000593533800001
出版者
EI入藏号
20204409426002
EI主题词
Climate change ; Uncertainty analysis ; Large dataset
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
Scopus记录号
2-s2.0-85094145891
来源库
Scopus
引用统计
被引频次[WOS]:25
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.
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.
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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