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  Frequent disturbances enhanced the resilience of past human populations

Riris, P., Silva, F., Crema, E., Palmisano, A., Robinson, E., Siegel, P., et al. (2024). Frequent disturbances enhanced the resilience of past human populations. Nature, 629(8013): s41586-024-07354-8, pp. 837-842. doi:10.1038/s41586-024-07354-8.

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 Creators:
Riris, Philip, Author
Silva, Fabio, Author
Crema, Enrico, Author
Palmisano, Alessio, Author
Robinson, Erick, Author
Siegel, Peter, Author
French, Jennifer, Author
Jørgensen, Erlend Kirkeng, Author
Maezumi, Shira Yoshimi1, Author           
Solheim, Steinar, Author
Bates, Jennifer, Author
Davies, Benjamin, Author
Oh, Yongje, Author
Ren, Xiaolin, Author
Affiliations:
1Department of Archaeology, Max Planck Institute of Geoanthropology, Max Planck Society, ou_3398738              

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Free keywords: Archaeology, Climate-change adaptation, Climate-change impacts, Environmental social sciences, Social evolution
 Abstract: The record of past human adaptations provides crucial lessons for guiding responses to crises in the future. To date, there have been no systematic global comparisons of humans’ ability to absorb and recover from disturbances through time4,5. Here we synthesized resilience across a broad sample of prehistoric population time–frequency data, spanning 30,000 years of human history. Cross-sectional and longitudinal analyses of population decline show that frequent disturbances enhance a population’s capacity to resist and recover from later downturns. Land-use patterns are important mediators of the strength of this positive association: farming and herding societies are more vulnerable but also more resilient overall. The results show that important trade-offs exist when adopting new or alternative land-use strategies.

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Language(s): eng - English
 Dates: 2023-12-062024-03-262024-05-012024-05-23
 Publication Status: Issued
 Pages: 20
 Publishing info: -
 Table of Contents: Cross-sectionally high resilience
Global variation in recovery rate
Long-term downturns are the norm
Land use mediates resilience
Discussion
Online content
Methods
Calibration and aggregation
Bayesian model fitting
Resilience metrics
Statistical modelling
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41586-024-07354-8
Research Square: 10.21203/rs.3.rs-3716011/v1
Other: gea0158
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Title: Nature
  Abbreviation : Nature
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 629 (8013) Sequence Number: s41586-024-07354-8 Start / End Page: 837 - 842 Identifier: ISSN: 0028-0836
CoNE: https://pure.mpg.de/cone/journals/resource/954925427238

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Title: Research Square
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Pages: - Volume / Issue: - Sequence Number: rs-3716011/v1 Start / End Page: - Identifier: URN: https://www.researchsquare.com/