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Analysis and visualization of vanadium mineral diversity and distribution

  • Chao Liu
  • , Ahmed Eleish
  • , Grethe Hystad
  • , Joshua J. Golden
  • , Robert T. Downs
  • , Shaunna M. Morrison
  • , Daniel R. Hummer
  • , Jolyon P. Ralph
  • , Peter Fox
  • , Robert M. Hazen

Research output: Contribution to journalArticlepeer-review

Abstract

We employ large mineralogical data resources to investigate the diversity and spatial distribution of vanadium minerals. Data for 219 approved species (http://http://rruff.info/ima, as of April 15, 2016), representing 5437 mineral species-locality pairs (http://http://mindat.org and other sources, as of April 15, 2016), facilitate statistical evaluation and network analysis of these vanadium minerals. V minerals form a sparse, moderately centralized and transitive network, and they cluster into at least seven groups, each of which indicates distinct paragenetic process. In addition, we construct the V mineral-locality bipartite network to reveal mineral diversity at each locality. It shows that only a few V minerals occur at more than three localities, while most minerals occur at one or two localities, conforming to a Large Number of Rare Events (LNRE) distribution. We apply the LNRE model to predict that at least 307 ± 30 (1σ) vanadium minerals exist in Earth's crust today, indicating that at least 88 species have yet to be discovered - a minimum estimate because it assumes that new minerals will be found only using the same methods as in the past. Numerous additional vanadium minerals likely await discovery using micro-analytical methods. By applying LNRE models to subsets of V minerals, we speculate that most new vanadium minerals are to be discovered in sedimentary or hydrothermal non-U-V ore deposits other than igneous or metamorphic rocks/ore deposits.

Original languageEnglish (US)
Pages (from-to)1080-1086
Number of pages7
JournalAmerican Mineralogist
Volume103
Issue number7
DOIs
StatePublished - Jul 26 2018

Keywords

  • LNRE frequency distribution
  • Vanadium
  • network analysis
  • statistical mineralogy

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology

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