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IGGCAS OpenIR  > 新生代地质与环境院重点实验室
Holocene spatiotemporal millet agricultural patterns in northern China: a dataset of archaeobotanical macroremains
He, Keyang1; Lu, Houyuan1,2,3; Zhang, Jianping1,2; Wang, Can4
2022-10-28
Source PublicationEARTH SYSTEM SCIENCE DATA
ISSN1866-3508
Volume14Issue:10Pages:4777-4791
AbstractMillet agriculture, i.e., broomcorn millet (Panicum miliaceum) and foxtail millet (Setaria italica), initially originated in northern China and provided the basis for the emergence of the first state in the Central Plains. However, owing to the lack of a comprehensive archaeobotanical dataset, when, where, and how these two millet types evolved across different regions and periods remains unclear. Here, we presented a dataset of archaeobotanical macroremains (n=538) spanning the Neolithic and Bronze ages in northern China and suggested a significant spatiotemporal divergence of millet agriculture in the subhumid mid-lower Yellow River (MLY) and semiarid agro-pastoral ecotone (APE). The key timing of the diffusion and transition of millet agriculture occurred around 6000 cal. a BP, coinciding with the Holocene Optimum (8000-6000 cal. a BP) and Miaodigou Age (6200-5500 cal. a BP). It spread westward and northward from the MLY to APE and underwent a dramatic transition from low-yield broomcorn millet to high-yield foxtail millet. The combined influence of warm-wet climate, population pressure, and field management may have promoted the intensification, diffusion, and transition of millet agriculture around 6000 cal. a BP. Thereafter, the cropping patterns in the MLY were predominated by foxtail millet (similar to 80 %), while those in APE focused on both foxtail (similar to 60 %) and broomcorn millet under a persistent drying trend since the mid-Holocene. This study provided the first quantitative spatiotemporal cropping patterns during the Neolithic and Bronze ages in northern China, which can be used for evaluating prehistoric human subsistence, discussing past human-environment interaction, and providing a valuable perspective of agricultural sustainability for the future. The dataset is publicly available at https://doi.org/10.5281/zenodo.6669730 (He et al., 2022).
DOI10.5194/essd-14-4777-2022
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation
WOS KeywordYELLOW-RIVER REGION ; WILD PLANT USE ; PREHISTORIC AGRICULTURE ; FOOD GLOBALIZATION ; EAST ; EVOLUTION ; REMAINS ; ORIGIN ; SITE ; DOMESTICATION
Language英语
Funding ProjectNational Natural Science Foundation of China[T2192954] ; National Natural Science Foundation of China[41902187] ; National Natural Science Foundation of China[41830322] ; Chinese Academy of Sciences[XDB26000000] ; China Postdoctoral Science Foundation[2020M670444]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation
WOS Research AreaGeology ; Meteorology & Atmospheric Sciences
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS IDWOS:000874806300001
PublisherCOPERNICUS GESELLSCHAFT MBH
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/107758
Collection新生代地质与环境院重点实验室
Corresponding AuthorHe, Keyang
Affiliation1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
4.Shandong Univ, Sch Hist & Culture, Jinan 250100, Peoples R China
First Author AffilicationKey Laboratory of Cenozoic Geology and Environment, Chinese Academy of Sciences
Corresponding Author AffilicationKey Laboratory of Cenozoic Geology and Environment, Chinese Academy of Sciences
Recommended Citation
GB/T 7714		 He, Keyang,Lu, Houyuan,Zhang, Jianping,et al. Holocene spatiotemporal millet agricultural patterns in northern China: a dataset of archaeobotanical macroremains[J]. EARTH SYSTEM SCIENCE DATA,2022,14(10):4777-4791.
APA He, Keyang,Lu, Houyuan,Zhang, Jianping,&Wang, Can.(2022).Holocene spatiotemporal millet agricultural patterns in northern China: a dataset of archaeobotanical macroremains.EARTH SYSTEM SCIENCE DATA,14(10),4777-4791.
MLA He, Keyang,et al."Holocene spatiotemporal millet agricultural patterns in northern China: a dataset of archaeobotanical macroremains".EARTH SYSTEM SCIENCE DATA 14.10(2022):4777-4791.
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