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Related Concept Videos

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What is Biodiversity?

Biodiversity describes the variety of living things at multiple organizational levels: genetic, species and ecosystem diversity. Species diversity includes all branches of the evolutionary tree from single-celled prokaryotic organisms, bacteria, and archaea, to the eukaryotic kingdoms: plants; animals; fungi; and protists. To date, there have been about 1.75 million species identified, and new species are discovered every week.
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Related Experiment Video

Updated: May 24, 2026

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The Biodiversity Informatics Potential Index.

Arturo H Ariño1, Vishwas Chavan, Nick King

  • 1Department of Zoology and Ecology, University of Navarra, E-31080 Pamplona, Spain. artarip@unav.es

BMC Bioinformatics
|March 1, 2012
PubMed
Summary
This summary is machine-generated.

The Biodiversity Informatics Potential (BIP) Index prioritizes global biodiversity data digitization efforts by assessing countries' biological richness, data generation capacity, and infrastructure. It identifies high-potential countries for data contribution and resource allocation.

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Area of Science:

  • Biodiversity Informatics
  • Data Science
  • Conservation Biology

Background:

  • Biodiversity informatics, a growing field, faces uneven global development due to the high costs of digitization and capacity building.
  • A rational prioritization method is needed to guide these efforts effectively.
  • The Biodiversity Informatics Potential (BIP) Index is proposed to address this need.

Purpose of the Study:

  • To develop and apply a quantitative index for assessing a country's potential in biodiversity informatics.
  • To identify countries with high potential for contributing to global biodiversity data.
  • To guide resource allocation for capacity building and data digitization.

Main Methods:

  • Utilized rank correlation, multiple regression, principal components analysis, and linear programming optimization.
  • Identified key human, economic, and environmental variables predicting primary biodiversity data availability via the Global Biodiversity Information Facility (GBIF).
  • Developed and applied an optimized model to score and rank countries based on their biodiversity informatics potential.

Main Results:

  • Many current GBIF participants ranked highly, though some may not have reached their full potential.
  • Most non-participant countries ranked low, but a few showed high potential for future GBIF engagement.
  • The BIP Index provides a quantitative measure for country-level biodiversity informatics capacity.

Conclusions:

  • The BIP Index can identify countries best positioned to fill gaps in digitized biodiversity data.
  • It aids in mobilizing resources for data collection in countries needing support, especially mega-diverse nations.
  • The index facilitates matching resource-rich countries with those needing capacity building in biodiversity informatics.