Bayesian spatial extreme value analysis to assess the changing risk of concurrent high temperatures across large portions of European cropland

Environmetrics

Volumn 23, Issue 8, 2012, Pages 638-648

  Shaby, Benjamin A ^a   Reich, Brian J ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Agriculture; Climate change; Max stable process

Indexed keywords

AGRICULTURAL LAND; BAYESIAN ANALYSIS; CATASTROPHIC EVENT; CLIMATE CHANGE; CROP YIELD; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL MODELING; ENVIRONMENTAL STRESS; EXTREME EVENT; GROWING SEASON; HIERARCHICAL SYSTEM; HIGH TEMPERATURE; NATURE-SOCIETY RELATIONS; RISK ASSESSMENT; YIELD RESPONSE;

EUROPE;

EID: 84871683559     PISSN: 11804009     EISSN: 1099095X     Source Type: Journal    
DOI: 10.1002/env.2178     Document Type: Article

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