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Cited by 49Geology and Paleoclimatology ResearchClimate variability and modelsAtmospheric and Environmental Gas Dynamics

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Coupled climate–carbon simulations indicate minor global effects of wars and epidemics on atmospheric CO 2 between ad 800 and 1850

Abstract

Historic events such as wars and epidemics have been suggested as explanation for decreases in atmospheric CO 2 reconstructed from ice cores because of their potential to take up carbon in forests regrowing on abandoned agricultural land. Here, we use a coupled climate–carbon cycle model to assess the carbon and climate effects of the Mongol invasion (~1200 to ~1380), the Black Death (~1347 to ~1400), the conquest of the Americas (~1519 to ~1700), and the fall of the Ming Dynasty (~1600 to ~1650). We calculate their impact on atmospheric CO 2 including the response of the global land and ocean carbon pools. It has been hypothesized that these events have contributed to significant increases in land carbon stocks. However, we find that slow regrowth and delayed emissions from past land cover change allow for small increases of the land biosphere carbon storage only during long-lasting events. The effect of these small increases in land biosphere storage on global CO 2 is reduced by the response of the global carbon pools and largely offset by concurrent emissions from the rest of the world. None of these events would therefore have affected the atmospheric CO 2 concentration by more than 1 ppm. Only the Mongol invasion could have lowered global CO 2 , but by an amount too small to be resolved by ice cores.

Overview

Integrity signals

Registry

Crossref · 10.1177/0959683610386981

Cites

46 of 46 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 44 references

Research works printed but not linked: 2

  1. Etheridge D, 2001, Law Dome Atmospheric CO2 Data, Technical Report
  2. 10.1029/2006gl02615 · doi:10.1029/2006gl02615

Cited by

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Metadata

Authors
Pongratz, J., Caldeira, K., Reick, C. H., & Claussen, M.
Affiliations
  • Carnegie Institution for Science (US)
  • Max Planck Institute for Meteorology (DE)
  • Universität Hamburg (DE)
Corresponding author
Pongratz, Julia
Venue
The Holocene
Published
2011-01-20
Volume
21
Issue
5
Pages
843-851
ISSN
  • 0959-6836 (ISSN-L)
  • 1477-0911
OpenAlex
W1964220360
Cited by
49
References
44
Citations by year
2024: 2 · 2022: 3 · 2021: 5 · 2020: 4 · 2019: 5 · 2018: 2 · 2016: 5 · 2015: 8 · 2014: 2 · 2013: 9 · 2012: 1
FWCI
2.42
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
  • The Holocene (publishedVersion)
  • Max Planck Digital Library (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Geology and Paleoclimatology Research
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
Keywords
atmospheric CO2, historical climate change, war, epidemics, Mongol invasion, Black Death, conquest of the Americas, fall of the Ming dynasty, land carbon storage, land cover change, ocean carbon uptake

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CoChat. (2026). Citation check: Coupled climate–carbon simulations indicate minor global effects of wars and epidemics on atmospheric CO 2 between ad 800 and 1850. https://app.cochat.ai/papers/10.1177/0959683610386981
The paper
Pongratz, J., Caldeira, K., Reick, C. H., & Claussen, M. (2011). Coupled climate–carbon simulations indicate minor global effects of wars and epidemics on atmospheric CO 2 between ad 800 and 1850. The Holocene. https://doi.org/10.1177/0959683610386981

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.