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首页> 外文期刊>Regional Environmental Change >Reconstructed cropland in the mid-eleventh century in the traditional agricultural area of China: implications of comparisons among datasets
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Reconstructed cropland in the mid-eleventh century in the traditional agricultural area of China: implications of comparisons among datasets

机译：中国传统农业地区11世纪中叶的重建农田：数据集比较的意义

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摘要

Reconstructions of historical cropland area and spatial distribution are necessary for studying human effects on the environment due to agricultural development. To understand the current status of reconstructions of cropland area and its spatial distribution in the mid-eleventh century in the traditional agricultural area of China, we compared three available datasets: the historic cropland inventories-based HE dataset, the population-based History Database of the Global Environment (HYDE) dataset, and the PJ dataset. The results indicate that the HYDE and PJ datasets estimated the regional mean cropland area fraction (a ratio of cropland area to total land area, hereafter, CAF) for the study area to be 0.12 and 0.09, respectively, both of which were lower than the HE estimation of 0.18. Moreover, both the HYDE and PJ datasets have a poor ability to capture the spatial distribution of the historical CAF. The HYDE dataset overestimated the cropland area in North China and underestimated the cropland area in the Yangtze River reach. The HYDE dataset also overestimated the cropland area along the great rivers in North China. The PJ dataset underestimated the cropland area in the old agricultural area and overestimated the cropland area in the relatively new agricultural area. These incorrect spatial distributions from the HYDE and PJ datasets mainly resulted from the underestimation of the historical population and an incorrect approach for the spatial allocation of cropland within China. The incorrect approach was mainly derived from a poor understanding of the historic spatial distribution of cropland. Using the expert knowledge of local historians may be an effective method to reduce the uncertainties in the global historic cropland reconstruction.
机译：重建历史耕地面积和空间分布对于研究人类因农业发展对环境的影响是必要的。为了了解中国传统农业地区11世纪中叶农田面积重建的现状及其空间分布，我们比较了三个可用的数据集：基于历史农田清单的HE数据集，基于人口史的农作物历史数据库。全球环境（HYDE）数据集和PJ数据集。结果表明，HYDE和PJ数据集估计研究区域的区域平均耕地面积分数（耕地面积与总土地面积之比，以下简称CAF）分别为0.12和0.09，均低于HE估计为0.18。此外，HYDE和PJ数据集都无法捕获历史CAF的空间分布。 HYDE数据集高估了华北的耕地面积，而低估了长江流域的耕地面积。 HYDE数据集还高估了华北大河沿岸的农田面积。 PJ数据集低估了旧农业区的耕地面积，而高估了相对较新农业区的耕地面积。 HYDE和PJ数据集的这些不正确的空间分布主要是由于对历史人口的低估以及中国耕地空间分配的不正确方法造成的。错误的方法主要是由于对耕地历史空间分布的了解不足。利用当地历史学家的专业知识可能是减少全球历史农田重建中不确定性的有效方法。

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