Citation

O'Loughlin J, Linke AM, Witmer FD. Proc. Natl. Acad. Sci. U. S. A. 2014; 111(47): 16712-16717.

Affiliation

Department of Computer Science and Engineering, University of Alaska Anchorage, Anchorage, AK 99508.

Copyright

(Copyright © 2014, National Academy of Sciences)

DOI

10.1073/pnas.1411899111

PMID

25385621

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.

Language: en