Per Capita Cropland Estimations for Traditional Agricultural Areas of China over Past Millennium

Land Pub Date : 2024-07-24 DOI:10.3390/land13081122
Meijiao Li, Fanneng He, Fan Yang, Ruifei Hao
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Abstract

Studying changes in land use per capita is critical for understanding the interactions between humans and ecosystems, and for modeling the impacts of land use changes on climate systems. However, many uncertainties in historical estimates significantly hinder climate modeling. This study estimated the per capita cropland area in traditional agricultural regions of China over the past millennium using historical-document-based and modern statistical cropland and population data. The findings showed that changes in the per capita cropland area in the provinces of the middle and lower reaches of the Yellow River could be characterized into three stages: slow decrease, rapid increase, and fluctuating decrease, whereas, in the provinces of the middle and lower reaches of the Yangtze River, there was a continuous decrease. Spatially, the per capita cropland area was higher in the middle and lower reaches of the Yellow River and lower in the middle and lower reaches of the Yangtze River during the study period. The per capita cropland areas showed clear differences in the HYDE dataset and our study; the corresponding values of our study were 2.1–8.0, 1.7–8.2, and 1.6–8.8 times higher than those from the HYDE dataset for the early Song, Yuan, and Ming dynasties, respectively.
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千年来中国传统农业区人均耕地面积估算
研究人均土地使用量的变化对于了解人类与生态系统之间的相互作用以及模拟土地使用量变化对气候系统的影响至关重要。然而,历史估算中的许多不确定性极大地阻碍了气候建模。本研究利用基于历史文献和现代统计的耕地和人口数据,估算了中国传统农业地区过去千年的人均耕地面积。研究结果表明,黄河中下游省份的人均耕地面积变化可分为缓慢减少、快速增加和波动减少三个阶段,而长江中下游省份的人均耕地面积则呈持续减少的趋势。从空间上看,研究期间黄河中下游人均耕地面积较高,长江中下游人均耕地面积较低。人均耕地面积在 HYDE 数据集和我们的研究中表现出明显的差异;我们的研究中,宋、元、明三朝初期的人均耕地面积分别是 HYDE 数据集的 2.1-8.0、1.7-8.2 和 1.6-8.8 倍。
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