Item talk:Q300967
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Climate has contrasting direct and indirect effects on armed conflicts", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70249428", "url": "https://pubs.usgs.gov/publication/70249428" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70249428 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1088/1748-9326/aba97d", "url": "https://doi.org/10.1088/1748-9326/aba97d" } ], "journal": { "@type": "Periodical", "name": "Environmental Research Letters", "volumeNumber": "15", "issueNumber": null }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Environmental Research Letters" } ], "datePublished": "2020", "dateModified": "2023-10-06", "abstract": "There is an active debate regarding the influence that climate has on the risk of armed conflict, which stems from challenges in assembling unbiased datasets, competing hypotheses on the mechanisms of climate influence, and the difficulty of disentangling direct and indirect climate effects. We use gridded historical non-state conflict records, satellite data, and land surface models in a structural equation modeling approach to uncover the direct and indirect effects of climate on violent conflicts in Africa and the Middle East (ME). We show that climate\u2013conflict linkages in these regions are more complex than previously suggested, with multiple mechanisms at work. Warm temperatures and low rainfall direct effects on conflict risk were stronger than indirect effects through food and water supplies. Warming increases the risk of violence in Africa but unexpectedly decreases this risk in the ME. Furthermore, at the country level, warming decreases the risk of violence in most West African countries. Overall, we find a non-linear response of conflict to warming across countries that depends on the local temperature conditions. We further show that magnitude and sign of the effects largely depend on the scale of analysis and geographical context. These results imply that extreme caution should be exerted when attempting to explain or project local climate\u2013conflict relationships based on a single, generalized theory.", "description": "104017, 12 p.", "publisher": { "@type": "Organization", "name": "IOP Science" }, "author": [ { "@type": "Person", "name": "Helman, David", "givenName": "David", "familyName": "Helman", "affiliation": [ { "@type": "Organization", "name": "John Hopkins University" } ] }, { "@type": "Person", "name": "Zaitchik, Benjamin F.", "givenName": "Benjamin F.", "familyName": "Zaitchik", "affiliation": [ { "@type": "Organization", "name": "John Hopkins University" } ] }, { "@type": "Person", "name": "Funk, Chris cfunk@usgs.gov", "givenName": "Chris", "familyName": "Funk", "email": "cfunk@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-9254-6718", "url": "https://orcid.org/0000-0002-9254-6718" }, "affiliation": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros" }, { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center (Geography)", "url": "https://www.usgs.gov/centers/eros" } ] } ], "funder": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros" } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "unknown", "name": "Africa", "url": "https://geonames.org/4253757" }, { "@type": "Place", "additionalType": "unknown", "name": "Middle East", "url": "https://geonames.org/11980025" }, { "@type": "Place", "geo": [ { "@type": "GeoShape", "additionalProperty": { "@type": "PropertyValue", "name": "GeoJSON", "value": { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": {}, "geometry": { "coordinates": [ [ [ 19.94002207269733, -35.32488342223352 ], [ 22.30264497339894, -34.38790227386746 ], [ 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