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Global climate change, war, and population decline in recent human history
Open accessAbstract
Although scientists have warned of possible social perils resulting from climate change, the impacts of long-term climate change on social unrest and population collapse have not been quantitatively investigated. In this study, high-resolution paleo-climatic data have been used to explore at a macroscale the effects of climate change on the outbreak of war and population decline in the preindustrial era. We show that long-term fluctuations of war frequency and population changes followed the cycles of temperature change. Further analyses show that cooling impeded agricultural production, which brought about a series of serious social problems, including price inflation, then successively war outbreak, famine, and population decline successively. The findings suggest that worldwide and synchronistic war–peace, population, and price cycles in recent centuries have been driven mainly by long-term climate change. The findings also imply that social mechanisms that might mitigate the impact of climate change were not significantly effective during the study period. Climate change may thus have played a more important role and imposed a wider ranging effect on human civilization than has so far been suggested. Findings of this research may lend an additional dimension to the classic concepts of Malthusianism and Darwinism.
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“For example, Zhang et al (2007) and Jun and Sethi (2021) showed that climate-induced food shortages increased the risk of conflict when climate variation undermined agricultural production in agriculture-dominated societies and economies.”
From The impacts of climate change on violent conflict risk: a review of causal pathways (2024) · cites this paper as Zhang et al 2007
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Metadata
- Authors
- Zhang, D. D., Brecke, P., Lee, H. F., He, Y.-Q., & Zhang, J.
- Affiliations
- University of Hong Kong (HK)
- Georgia Institute of Technology (US)
- Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Science, Lanzhou 730000, Gansu, China; and
- University College London (GB)
- Corresponding author
- Zhang, David D.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2007-12-04
- Volume
- 104
- Issue
- 49
- Pages
- 19214-19219
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2148270
- OpenAlex
- W2154040214
- Cited by
- 540
- References
- 48
- Citations by year
- 2026: 13 · 2025: 28 · 2024: 33 · 2023: 34 · 2022: 29 · 2021: 34 · 2020: 27 · 2019: 21 · 2018: 27 · 2017: 27 · 2016: 30 · 2015: 28 · 2014: 39 · 2013: 32 · 2012: 57
- FWCI
- 12.45
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Geology and Paleoclimatology Research
- Social Sciences › Sociology and Political Science › Environmental, Ecological, and Cultural Studies
- Social Sciences › Archeology › Archaeology and ancient environmental studies
- Keywords
- climate change, population decline, paleoclimate, temperature fluctuations, agricultural production, inflation, famine, social unrest, Malthusianism, Darwinism, climate change mitigation
- MeSH terms
- Climate, Humans, Population Density, Temperature, Warfare, Greenhouse Effect, History, 15th Century, History, 16th Century, History, 17th Century, History, 18th Century, History, 19th Century, History, 20th Century, History, 21st Century, History, Ancient, History, Medieval
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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