中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An approach to spatially explicit reconstruction of historical forest in Northeast China

文献类型:SCI/SSCI论文

作者Li S. C. ; He F. N. ; Zhang X. Z.
发表日期2014
关键词forest cover gridding approach historical period Northeast China land-cover change past 300 years carbon emissions cropland vegetation patterns climate
英文摘要The spatially explicit reconstruction of historical land-cover datasets plays an important role in studying the climatic and ecological effects of land-use and land-cover change (LUCC). Using potential natural vegetation (PNV) and satellite-based land use data, we determined the possible maximum distribution extent of forest cover in the absence of human disturbance. Subsequently, topography and climate factors were selected to assess, the suitability of land for cultivation. Finally, a historical forest area allocation model was devised on the basis of the suitability of land for cultivation. As a case study, we used the historical forest area allocation model to reconstruct forest cover for 1780 and 1940 in Northeast China with a 10-km resolution. To validate the model, we compared satellite-based forest cover data with our reconstruction for 2000. A one-sample t-test of absolute bias showed that the two-tailed significance was 0.12, larger than the significant level 0.05, suggesting that the model has strong ability to capture the spatial distribution of forests. In addition, we calculated the relative difference of our reconstruction at the county scale for 1780 in Northeast China. The number of counties whose relative difference ranged from -30% to 30% is 99, accounting for 74.44% of all Counties. These findings demonstrated that the provincial forest area could be transformed into forest cover maps well using the model.
出处Journal of Geographical Sciences
24
6
1022-1034
收录类别SCI
语种英语
ISSN号1009-637X
源URL[http://ir.igsnrr.ac.cn/handle/311030/29761]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Li S. C.,He F. N.,Zhang X. Z.. An approach to spatially explicit reconstruction of historical forest in Northeast China. 2014.

入库方式: OAI收割

来源:地理科学与资源研究所

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