Agriculture, population growth, and statistical analysis of the radiocarbon record
Bibliographic Data
| ID | 23364622 |
|---|---|
| Authors | H Jabran Zahid (0000-0003-1672-8234, Smithsonian Astrophysical Observatory, Harvard–Smithsonian Center for Astrophysics, Cambridge, MA 02138), Erick Robinson (0000-0002-0789-3724, University of Wyoming, corresponding author), Robert L Kelly (0000-0001-9737-0152, University of Wyoming) |
| Year | 2016 |
| Volume | 113 |
| Issue | 4 |
| Pages | 931-935 |
| Publication date | 2016-01-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Proceedings of the National Academy of Sciences (JOURNAL) |
| Journal identifiers | ISSN: 0027-8424 • E-ISSN: 1091-6490 |
| Publisher | National Academy of Sciences (PUBLISHER • US) |
| DOI | 10.1073/pnas.1517650112 |
| PMID | 26699457 |
| OpenAlex | W2213229845 |
| Language | EN |
| Citations received | 69 |
| References cited | 46 |
Significance We statistically analyze the radiocarbon record and show that early farming societies in Europe grew at the same rate as contemporaneous foraging societies in North America. Thus, our results challenge the commonly held view that the advent of agriculture was linked to accelerated growth of the human population. The same rates of prehistoric population growth measured worldwide suggest that the global climate and/or biological factors intrinsic to the species and not factors related to the regional environment or subsistence practices regulated the growth of the human population for most of the last 12,000 y. This study demonstrates that statistical analysis of the radiocarbon record is a robust quantitative approach for studying prehistoric human demography.
Agriculture · Archaeology · Biology · Foraging · Geography · Population · Population growth · Prehistory · Radiocarbon dating · Subsistence agriculture · Archaeology and ancient environmental studies · Demography · Ecology · Pacific and Southeast Asian Studies · Pleistocene-Era Hominins and Archaeology
Inferring Alignments I
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Inferring Alignments I
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Introduction
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| Unique citing works | 69 |
|---|---|
| Citations per year | 6,9 |
| Citation span | 2016 - 2026 (11) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 63 |