Reconstruction of the historical crop land data in China using the partition and layering-based gridded method
Reconstruction of the historical cropland database could provide an accurate support for the cropland researches on historical periods.Moreover,it will also act as the driving data for the global climate models.In China,there are several ways to rebuild the historical cropland on the regional scale,conceming the traditional cultivation area and the northeastem China.But there are few studies on the national scale,which is primarily due to lacking of accurate historical cropland inventory data.Therefore,it is necessary to simulate the climate and ecosystem scenarios in a wider spatial scale.In the next step,an improvement in the research on reconstruction of the historical cropland database is an efficient and quick method to meet the demand.The present paper has adopted a different approach,which divides the entire landmass of China into cropland area and livestock area according to the climate conditions and cultural diversities of the country.Several representative historical cropland databases are used as the background of our study to ensure the authenticity of the outcomes.Considering the historical land use exploitation,and the impact of the natural and anthropogenic factors on the cropland dynamics,we have developed a partition and layering-based gridded reconstruction method.This is an empirical method for spatial allocation of the historical cropland inventory data in the individual grid cells.Then we use this method to rebuild the historical cropland database maps for China during 1820 (the 25th year in the reign of Emperor Renzong Jiaqing in the Qing Dynasty) and 1936 (the 25th year of the Republic of China),at a resolution of 10 km× 10 km.A precision validation is applied on the rebuilt maps by comparing them with other existing regional databases.The results show that this method could ensure the authenticity of the cropland data,with higher accuracy in the regional cropland reconstruction.
Chinahistorical croplandpartition and layeringgridded method
NETL
NSTL
万方数据
维普
