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Report on potential sampling biases in the LaMEVE database of global volcanism

Authors :
Natalia Irma Deligne
R. Stephen J. Sparks
Sarah K. Brown
Source :
Journal of Applied Volcanology, Vol 6, Iss 1, Pp 1-5 (2017)
Publication Year :
2017
Publisher :
BMC, 2017.

Abstract

Abstract We investigate whether the disproportionate contribution of individual volcanoes in the Large Magnitude Explosive Volcanic Eruption database (LaMEVE) potentially compromises the treatment of LaMEVE as a globally representative database of volcanic activity. We find that 41% of volcanoes which contribute at least one eruption to LaMEVE only contribute one eruption (10% of all eruptions), and the six most prolific volcanoes contribute 11% of eruptions. However, there is no systematic bias with respect to the eruption magnitude or date for volcanoes contributing one eruption. Also, no bias can be discerned for when the smallest or largest eruption at a volcano occurs in its eruptive record. Half of the volcanoes contributing one or more eruptions to the LaMEVE database had their first eruption prior to 36.4 ka. We find LaMEVE is representative – while there are well-known issues of eruption under-reporting, LaMEVE is not overly biased by the activity of a few volcanoes.

Details

Language :
English
ISSN :
21915040
Volume :
6
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Applied Volcanology
Publication Type :
Academic Journal
Accession number :
edsdoj.587332265342c3ba00fa7b24c4c911
Document Type :
article
Full Text :
https://doi.org/10.1186/s13617-017-0058-5