A hierarchical Bayesian approach to the classification of C3 and C4 grass pollen based on SPIRAL δ13C data

Geochimica et Cosmochimica Acta

Volumn 121, Issue , 2013, Pages 168-176

  Urban, Michael A ^a   Nelson, David M ^b   Kelly, Ryan ^a   Ibrahim, Tahir ^a   Dietze, Michael ^c   Pearson, Ann ^d   Hu, Feng Sheng ^a,e  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b UNIVERSITY OF MARYLAND CENTER FOR ENVIRONMENTAL SCIENCE   (United States)

^c BOSTON UNIVERSITY   (United States)

^d HARVARD UNIVERSITY   (United States)

^e ILLINOIS STATE GEOLOGICAL SURVEY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABUNDANCE; BAYESIAN ANALYSIS; GRASS; ISOTOPIC RATIO; MASS SPECTROMETRY; MORPHOLOGY; PALEOENVIRONMENT; PALYNOLOGY; STABLE ISOTOPE;

AFRICA; AUSTRALIA; NORTH AMERICA;

POACEAE;

EID: 84883533174     PISSN: 00167037     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gca.2013.07.019     Document Type: Article

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