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Comparisons of cropland area from multiple datasets over the past 300 years in the traditional cultivated region of China

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文摘 Land use/cover change is an important parameter in the climate and ecological simulations. Although they had been widely used in the community,SAGE dataset and HYDE dataset,the two representative global historical land use datasets,were little assessed about their accuracies in regional scale. Here,we carried out some assessments for the traditional cultivated region of China(TCRC) over last 300 years,by comparing SAGE2010 and HYDE(v3.1) with Chinese Historical Cropland Dataset(CHCD). The comparisons were performed at three spatial scales: entire study area,provincial area and 60 km by 60 km grid cell. The results show that(1) the cropland area from SAGE2010 was much more than that from CHCD;moreover,the growth at a rate of 0.51% from 1700 to 1950 and -0.34% after 1950 were also inconsistent with that from CHCD.(2) HYDE dataset(v3.1) was closer to CHCD dataset than SAGE dataset on entire study area. However,the large biases could be detected at provincial scale and 60 km by 60 km grid cell scale. The percent of grid cells having biases greater than70%(<-70% or >70%) and 90%(<-90% or >90%) accounted for 56%-63% and 40%-45% of the total grid cells respectively while those having biases range from -10% to 10% and from-30% to 30% account for only 5%-6% and 17% of the total grid cells respectively.(3) Using local historical archives to reconstruct historical dataset with high accuracy would be a valuable way to improve the accuracy of climate and ecological simulation.
来源 Journal of Geographical Sciences ,2013,23(6):978-990 【核心库】
DOI 10.1007/s11442-013-1057-z
关键词 cropland datasets ; comparisons ; past 300 years ; traditional cultivated region ; China
地址

Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101

语种 英文
文献类型 研究性论文
ISSN 1009-637X
学科 社会科学总论
基金 China Global Change Research Program ;  国家自然科学基金
文献收藏号 CSCD:5021282

参考文献 共 35 共2页

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引证文献 20

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2 Jin Xiaobin Farmland dataset reconstruction and farmland change analysis in China during 1661–1985 Journal of Geographical Sciences,2015,25(9):1058-1074
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