Reconstruction of historical cropland cover is not only essential for studying agricultural development in historical periods, but also provides the basic data for long-term global and climatic change simulations. However, reconstructing the amount and spatial distribution of cropland prior to the past millennium remains challenging because of incomplete data and the suitability of the allocation method. Based on the household census and cropland demand per household data, which was calculated from grain consumption per household and crop yield per unit area, this study estimated the prefecture-level cropland area in northern China in AD 609 during the Sui dynasty. Then, a cropland allocation model based on natural land suitability for cultivation was used to reconstruct the spatial distribution of cropland in 5′ × 5′ grid cells. The results were as follows: (1) the cropland area in northern China in AD 609 was 1.77 × 105 km2, with an average cropland area fraction of 10.04%. (2) The cropland was continuously distributed in the North China Plain, Guanzhong Plain, Fenhe Valley and central Shangdang and Changping on the Loess Plateau, resulting in a high cropland agglomeration area appearing in those regions. While it is scattered in the northern Loess Plateau and the Hexi Corridor. (3) Compared with our reconstruction, the HYDE dataset underestimated the cropland area in plains except for riverine areas and overestimated the cropland area in the hills and mountainous areas along the border. (4) This discrepancy was primarily derived from population differences and the divergent cropland allocation methods between the two datasets.
BuFX (2007) Assessment on the level of food security in traditional agriculture period of China. Agricultural History of China4: 19–30.
2.
ChengFWangHBYunWJ (2014) Study on investigation and assessment of cultivated land quality grade in China. China Land Science28(02): 75–82.
3.
ChenQYangLELuoJ, et al. (2021) The 300 years cropland changes reflecting climate impacts and social resilience at the Yellow River–Huangshui River Valley, China. Environmental Research Letters16(6): 065006.
4.
DongGD (2002) Population History of China: The Second Volume (Sui, Tang and Five Dynasties Period). Shanghai: Fudan University Press (in Chinese).
5.
EllisECGauthierNKlein GoldewijkK, et al. (2021) People have shaped most of terrestrial nature for at least 12,000 years. Proceedings of the National Academy of Sciences118(17): e2023483118.
6.
FangXQHeFNWuZL, et al. (2021) General characteristics of the agricultural area and fractional cropland cover changes in China for the past 2000 years. Acta Geographica Sinica76(07): 1732–1746.
7.
FoleyJARamankuttyNBraumanKA, et al. (2011) Solutions for a cultivated planet. Nature478(7369): 337–342.
8.
GaillardMJMorrisonKDMadellaM, et al. (2018) Past land-use and land-cover change: The challenge of quantification at the subcontinental to global scales. Past Global Changes Magazine26(1): 3.
9.
GaughanAEStevensFRHuangZ, et al. (2016) Spatiotemporal patterns of population in mainland China, 1990 to 2010. Scientific Data3(1): 160005.
GeQDaiJHeF, et al. (2004) Spatiotemporal dynamics of reclamation and cultivation and its driving factors in parts of China during the last three centuries. Progress in Natural Science: Communication of State Key Laboratories of China14(7): 605–613.
12.
GeQLiuHMaX, et al. (2017) Characteristics of temperature change in China over the last 2000 years and spatial patterns of dryness/wetness during cold and warm periods. Advances in Atmospheric Sciences34(8): 941–951.
HeBD (2017) Analysis of figures of cultivated land in China dynasties. Beijing: Zhonghua Book Company, pp.19–21.
15.
HeFLiSYangF, et al. (2018) Evaluating the accuracy of Chinese pasture data in global historical land use datasets. Science China Earth Sciences61(11): 1685–1696.
16.
HeFLiSZhangX (2012) Reconstruction of cropland area and spatial distribution in the mid-Northern Song Dynasty (AD1004-1085). Journal of Geographical Sciences22(2): 359–370.
17.
HoughtonRAHouseJIPongratzJ, et al. (2012) Carbon emissions from land use and land-cover change. Biogeosciences9(12): 5125–5142.
18.
HuaLF (1990) Preliminary study on the geographical distribution of millet and wheat production in Tang Dynasty. Agricultural History of China2: 33–42.
19.
HuJ (1980) The grain yield in Tang Dynasty- a review of agricultural economy in Tang Dynasty. Journal of Northwest University (Philosophy and Social Sciences Edition)3: 75–76.
20.
HurttGCChiniLPFrolkingS, et al. (2011) Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. Climatic Change 109(1–2): 117–161.
21.
JainAKMeiyappanPSongY, et al. (2013) CO2 emissions from land-use change affected more by nitrogen cycle, than by the choice of land-cover data. Global Change Biology19(9): 2893–2906.
22.
KaplanJOKrumhardtKMGaillardMJ, et al. (2017) Constraining the deforestation history of Europe: Evaluation of historical land use scenarios with pollen-based land cover reconstructions. Land6(4): 91.
23.
KaplanJOKrumhardtKMEllisEC, et al. (2011) Holocene carbon emissions as a result of anthropogenic land cover change. The Holocene21(5): 775–791.
24.
Klein GoldewijkKBeusenADoelmanJ, et al. (2017) Anthropogenic land use estimates for the Holocene – HYDE 3.2. Earth System Science Data9(2): 927–953.
25.
Klein GoldewijkKBeusenAJanssenP (2010) Long-term dynamic modeling of global population and built-up area in a spatially explicit way: HYDE 3.1. The Holocene20(4): 565–573.
26.
Klein GoldewijkKVerburgPH (2013) Uncertainties in global-scale reconstructions of historical land use: An illustration using the HYDE data set. Landscape Ecology28(5): 861–877.
27.
LiLF (2005) Study on the formation time of the two-year-three-crop system in north China Plain. Researches in Chinese Economic History3: 35–41.
28.
LiLJ (1991) Tang Institutions of Six Administrative Divisions. Xian: Sanqin Publishing house.
29.
LiMHeFLiS, et al. (2018) Reconstruction of the cropland cover changes in eastern China between the 10th century and 13th century using historical documents. Scientific Reports8(1): 13552.
30.
LiuXLiSHeF, et al. (2022) Reconstruction of cropland areas for South Asia from AD 640 to 2016. Regional Environmental Change22(2): 1–12.
31.
LiuYDaiJWangH, et al. (2016) Phenological records in Guanzhong area in central China between 600 and 902 AD as proxy for winter half-year temperature reconstruction. Science China Earth Sciences59(9): 1847–1853.
32.
LongYJinXYangX, et al. (2014) Reconstruction of historical arable land use patterns using constrained cellular automata: A case study of Jiangsu, China. Applied Geography52: 67–77.
33.
NiuZX (1994) Map of Ancient Channels of the Lower Yellow River in Historical Period. Beijing: Surveying and Mapping Publishing House.
34.
OrdJKGetisA (1995) Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis27(4): 286–306.
35.
PongratzJReickCRaddatzT, et al. (2008) A reconstruction of global agricultural areas and land cover for the last millennium. Global Biogeochemical Cycles 22(3).
36.
RamankuttyNFoleyJA (1999) Estimating historical changes in global land cover: Croplands from 1700 to 1992. Global Biogeochemical Cycles13(4): 997–1027.
37.
ReickCRaddatzTPongratzJ, et al. (2010) Contribution of anthropogenic land cover change emissions to pre-industrial atmospheric CO2. Tellus. Series B, Chemical and Physical Meteorology62(5): 329–336.
38.
RobertsN (2019) How humans changed the face of Earth. Science365(6456): 865–866.
39.
SearchingerTDWirseniusSBeringerT, et al. (2018) Assessing the efficiency of changes in land use for mitigating climate change. Nature564(7735): 249–253.
40.
SkalošJWeberMLipskýZ, et al. (2011) Using old military survey maps and orthophotograph maps to analyse long-term land cover changes – Case study (Czech Republic). Applied Geography31(2): 426–438.
41.
StephensLFullerDBoivinN, et al. (2019) Archaeological assessment reveals Earth’s early transformation through land use. Science365(6456): 897–902.
42.
TanQX (1996) The Historical Atlas of China: The Fifth Volume (Sui, Tang and Five Dynasties). Beijing: SinoMaps Press.
43.
TaoWN (1993) The population distribution in the north and south during sui Dynasty. Academic Journal of Jinyang2: 48–53.
44.
TrondmanAKGaillardMJMazierF, et al. (2015) Pollen-based quantitative reconstructions of holocene regional vegetation cover (plant-functional types and land-cover types) in Europe suitable for climate modelling. Global Change Biology21(2): 676–697.
45.
WangFLuWZhengJ, et al. (2020) Spatially explicit mapping of historical population density with random forest regression: A case study of Gansu Province, China, in 1820 and 2000. Sustainability12(3): 1231.
46.
WangJ (2017) Wang Jian’s Essays on Han and Tang China. Beijing: Peking University Press, pp.53–61.
47.
WanXJiangGYanC, et al. (2019) Historical records reveal the distinctive associations of human disturbance and extreme climate change with local extinction of mammals. Proceedings of the National Academy of Sciences of the United States of America116(38): 19001–19008.
48.
WeiXYeYZhangQ, et al. (2019) Reconstruction of cropland change in North China Plain area over the past 300 years. Global and Planetary Change176: 60–70.
49.
WeiXWidgrenMLiB, et al. (2021) Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia. Earth System Science Data 13(6): 3035–3056.
50.
WeiZ (1997) Monograph on Geography From the History of the Sui. Beijing: Zhonghua Book Company.
51.
WuXWeiYFuB, et al. (2020) Evolution and effects of the social-ecological system over a millennium in China’s Loess Plateau. Science Advances6(41): eabc0276.
52.
XuC (2016) Study on peasant economy of Jingji (Chang’an city and its suburbs) in the Tang Dynasty. Journal of Chinese Literature and History1: 65–101.
53.
YangJP (1996) A discuss of weights, measures and grain yield in tang Dynasty. The Journal of Chinese Social and Economic History2: 32–44.
54.
YangXJinXDuX, et al. (2016) Multi-agent model-based historical cropland spatial pattern reconstruction for 1661–1952, Shandong Province, China. Global and Planetary Change143: 175–188.
55.
YanMLiuJWangZ (2017) Global climate responses to land use and land cover changes over the past two millennia. Atmosphere8(12): 64.
56.
YuZLuC (2018) Historical cropland expansion and abandonment in the continental US during 1850 to 2016. Global Ecology and Biogeography27(3): 322–333.
57.
ZhangCFangXYeY, et al. (2022a) A spatially explicit reconstruction of cropland cover in China around 1850 C.E. Employing new land suitability based gridded allocation algorithm. Quaternary International 641: 62–73.
58.
ZhangCYeYFangX (2022b) Development of a global land suitability dataset for cultivation based on physiogeographic factors. Journal of Global Change Data & Discovery 6(3): 390–398.
59.
ZhangDFangXYangLE (2021) Comparison of the HYDE cropland data over the past millennium with regional historical evidence from Germany. Regional Environmental Change21(1): 1–15.
60.
ZhangPY (1996) Historical Climate Change in China. Jinan: Shandong Science and Technology Press.
61.
ZhaoZFangXYeY, et al. (2020) Reconstruction of cropland area in the European part of Tsarist Russia from 1696 to 1914 based on historical documents. Journal of Geographical Sciences30(8): 1307–1324.
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