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A new model for efficient, need-driven progress in generating primary biodiversity information resources.

Alex Asase1, Moses N Sainge2, Raoufou A Radji3

  • 1Department of Plant and Environmental Biology University of Ghana P.O. Box LG 55 Legon Ghana.

Applications in Plant Sciences
|January 30, 2020
PubMed
Summary

The West African Plants Initiative digitized over 190,000 biodiversity records, increasing accessible data by 54% cost-effectively. This approach addresses spatial biases in online biodiversity information for under-resourced regions.

Keywords:
West Africabiodiversity informaticsdigitizationplantsprimary biodiversity data

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Area of Science:

  • Biodiversity Informatics
  • Botany
  • Data Science

Background:

  • Online biodiversity data exhibits spatial biases due to uneven data capture and digitization.
  • Traditional data capture models are limited by institutional ownership and slow progress.
  • The West African Plants Initiative (WAPI) offers a novel solution to improve biodiversity data accessibility.

Purpose of the Study:

  • To develop and test a new approach for capturing and digitizing biodiversity data in West Africa.
  • To increase the availability of digital biodiversity information for the region.
  • To assess the cost-effectiveness and scalability of the WAPI data capture model.

Main Methods:

  • Customized data capture workflows were developed for herbarium data.
  • Significant numbers of new biodiversity records were digitized.
  • Data was formatted for direct and permanent use by herbarium owners.

Main Results:

  • 190,953 records across 1965 genera and 331 families were captured by mid-2018.
  • Data covered 16 West African countries, with significant contributions from Côte d'Ivoire, Ghana, Togo, Nigeria, and Cameroon.
  • The WAPI increased accessible digital knowledge for West African plants by approximately 54% at a cost of US$0.50-1.00 per sheet.

Conclusions:

  • The WAPI data capture method is cost-effective, proving less expensive than new field collections.
  • This approach enables information resource development in regions with challenging political landscapes for fieldwork.
  • The WAPI model provides a historical baseline for future biodiversity monitoring and can be replicated globally.