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Related Experiment Video

Updated: Apr 28, 2026

Tissue Collection of Bats for -Omics Analyses and Primary Cell Culture
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[Geographic data for Neotropical bats (Chiroptera)].

Elkin A Noguera-Urbano, Tania Escalante

    Revista De Biologia Tropical
    |June 11, 2014
    PubMed
    Summary
    This summary is machine-generated.

    Digitizing biodiversity data improves conservation knowledge. However, Global Biodiversity Information Facility (GBIF) data for Neotropical bats show significant geographic and nomenclatural biases, with major information gaps in South America.

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    Area of Science:

    • Biodiversity informatics
    • Zoology
    • Conservation science

    Context:

    • The digitization of biodiversity occurrence data is crucial for understanding and conserving global biodiversity.
    • The Global Biodiversity Information Facility (GBIF) provides access to over 321 million biodiversity records.
    • Neotropical bats are a diverse group, yet detailed geographic information has been limited.

    Purpose:

    • To analyze the quantity and quality of Neotropical bat records in GBIF across 21 American countries.
    • To evaluate the nomenclatural and geographical consistency of these records.
    • To identify information gaps using a 1-degree latitude by 1-degree longitude grid.

    Summary:

    • Over half a million Neotropical bat records were analyzed, with 58% lacking precise geographic coordinates.
    • Only 52% of records met both nomenclatural and geographic consistency criteria.
    • Significant data gaps were identified, particularly in the Amazonia and Southern Venezuela, with 54% of the area lacking records.

    Impact:

    • Available GBIF data exhibit nomenclatural and geographic biases, incompletely representing Neotropical bat diversity.
    • Identified data gaps highlight critical areas for future data collection and conservation efforts in South America.
    • This study underscores the need for improved data quality and completeness for effective biodiversity management.