Literature DB >> 25385621

Effects of temperature and precipitation variability on the risk of violence in sub-Saharan Africa, 1980-2012.

John O'Loughlin1, Andrew M Linke2, Frank D W Witmer3.   

Abstract

Ongoing debates in the academic community and in the public policy arena continue without clear resolution about the significance of global climate change for the risk of increased conflict. Sub-Saharan Africa is generally agreed to be the region most vulnerable to such climate impacts. Using a large database of conflict events and detailed climatological data covering the period 1980-2012, we apply a multilevel modeling technique that allows for a more nuanced understanding of a climate-conflict link than has been seen heretofore. In the aggregate, high temperature extremes are associated with more conflict; however, different types of conflict and different subregions do not show consistent relationship with temperature deviations. Precipitation deviations, both high and low, are generally not significant. The location and timing of violence are influenced less by climate anomalies (temperature or precipitation variations from normal) than by key political, economic, and geographic factors. We find important distinctions in the relationship between temperature extremes and conflict by using multiple methods of analysis and by exploiting our time-series cross-sectional dataset for disaggregated analyses.

Keywords:  climate variability; disaggregated spatial analysis; multilevel modeling; regional contexts; types of violence indicators

Mesh:

Year:  2014        PMID: 25385621      PMCID: PMC4250158          DOI: 10.1073/pnas.1411899111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  6 in total

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Authors:  John O'Loughlin; Frank D W Witmer; Andrew M Linke; Arlene Laing; Andrew Gettelman; Jimy Dudhia
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6.  Modeling and data choices sway conclusions about climate-conflict links.

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-31       Impact factor: 11.205

  6 in total
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  9 in total

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