IGSNRR OpenIR
evaluatingtheaccuracyofchinesepasturedatainglobalhistoricallandusedatasets
He Fanneng1; Li Shicheng2; Yang Fan1; Li Meijiao1
2018
Source Publicationsciencechinaearthsciences
ISSN1674-7313
Volume61Issue:11Pages:1685
AbstractGlobal historical land use datasets are widely used in global environmental change studies; however, uncertainties in the included pasture data have not been evaluated. In this study, using trend, relative difference ratio (RDR), and spatial comparisons, we evaluated the accuracy of China pasture data in the HYDE (versions 3.1 and 3.2), SAGE, and PJ datasets using historical document-based reconstructions, including the land use datasets for China covering 1935-1997 (hereafter Ge-dataset) and Northeast China covering the 1700s-2000 (hereafter Ye-dataset), and the satellite-based China's Land-Use/cover Datasets (CLUDs) for 1980-2015. Four important results were obtained. (1) China pasture area in the HYDE, SAGE, and PJ datasets and grassland area in the Ge-dataset, Ye-dataset, and CLUDs show both disparate trends and large differences in absolute values. (2) Spatially, 50.9%, 52.8%, and 63.0% pasture/grassland grids in 2000 had RDRs greater than 60% between HYDE3.1, HYDE3.2, and SAGE datasets, and CLUDs, respectively. The percentage of grids with RDRs less than 20% were 24.9%, 26.7%, and 16.0%, respectively. (3) Based on HYDE3.2, the spatial distribution of pasture in Northeast China over the last 300 year has expanded, which is in contrast to the results from the Ye-dataset, which shows the spatial distribution of grassland shrinking because of human reclamation activities. (4) The large contrasts between the global datasets and Chinese native datasets are due to differences in pasture/grassland definitions, land use practices, and spatial reconstruction methods.
Language英语
Funding Project[National Key Research and Development Program of China on Global Change] ; [National Natural Science Foundation of China]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/89562
Collection中国科学院地理科学与资源研究所
Affiliation1.中国科学院地理科学与资源研究所
2.中国地质大学
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
He Fanneng,Li Shicheng,Yang Fan,et al. evaluatingtheaccuracyofchinesepasturedatainglobalhistoricallandusedatasets[J]. sciencechinaearthsciences,2018,61(11):1685.
APA He Fanneng,Li Shicheng,Yang Fan,&Li Meijiao.(2018).evaluatingtheaccuracyofchinesepasturedatainglobalhistoricallandusedatasets.sciencechinaearthsciences,61(11),1685.
MLA He Fanneng,et al."evaluatingtheaccuracyofchinesepasturedatainglobalhistoricallandusedatasets".sciencechinaearthsciences 61.11(2018):1685.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[He Fanneng]'s Articles
[Li Shicheng]'s Articles
[Yang Fan]'s Articles
Baidu academic
Similar articles in Baidu academic
[He Fanneng]'s Articles
[Li Shicheng]'s Articles
[Yang Fan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[He Fanneng]'s Articles
[Li Shicheng]'s Articles
[Yang Fan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.