Advances in Biodiversity Informatics

A special issue of Diversity (ISSN 1424-2818).

Deadline for manuscript submissions: closed (15 January 2013)

Special Issue Editor


E-Mail Website
Guest Editor
Department of General Systems Sciences, The University of Tokyo, Komaba, Meguro-ku, Tokyo 153-8902, Japan
Interests: biodiversity; biodiversity informatics; ecosystem; conservation biology

Special Issue Information

Dear Colleagues,

From the end of 20th century, we have experienced “information explosion”, due to rapid development of informatics science. In many scientific fields, it is also true, and treating so-called “Big Data” becoming major interest. In biological science, we have experienced rapid development of gene/genome information, and now, it occurred in biodiversity information. It is partly because we face to serious global environmental problems, especially global loss of biodiversity. And needs and promises from the society to access biodiversity information become growing for their sustainable use.

Corresponding to the situation mentioned above, Biodiversity Informatics has developed very rapidly. It is an integrated science of informatics and biodiversity related sciences, i. e., taxonomy, ecology, genetics, and so on. Now, more than 300 million occurrence data of organisms have been deposited by Global Biodiversity Information Facility (GBIF), and available via Internet. In addition, up to 1.8 million organisms names (Catalog of Life) and more than 1.7 million DNA barcodes (iBOL) are also available. Several application methods are also developed for using those big data for analyses or data mining. Biodiversity Informatics is now seeking to make more integrated knowledge together with broader field of biology, i. e. genomics and/or ecology. Thus, it is a good time to summarize current status and activity of biodiversity informatics, and to discuss future perspective of this field.

Prof. Dr. Motomi Ito
Guest Editor

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Keywords

  • biodiversity informatics
  • DNA barcoding
  • ecoinformatics
  • ecological niche modeling
  • scientific name
  • big data

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Published Papers

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