BRIEF

Advancing Biodiversity Conservation: Data-Driven Insights for Global Sustainability and Resilience

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Photos: Pritthijit (Raja) Kundu (CC BY-NC-ND 4.0)

Biodiversity conservation is critical for sustainable development, poverty reduction, and climate stability. It supports ecosystems that provide food, water, and resources, especially in developing nations, and drives industries like agriculture, fisheries, ecotourism, and pharmaceuticals. Protecting biodiversity strengthens ecosystem resilience, mitigates climate change, and promotes global sustainability.

Despite growing awareness, biodiversity is in crisis, with nearly one million species at risk and a 68% decline in global biodiversity since 1970. Limited access to up-to-date data, particularly in developing regions, has hindered conservation efforts. Traditional metrics focus mainly on vertebrates and overlook broader aspects of biodiversity, while emerging threats outpace slow data updates.

To address this, the World Bank has developed extensive open-access datasets, covering nearly 600,000 species across terrestrial, freshwater, and marine ecosystems. This effort has expanded habitat data by fivefold for plants and tenfold for invertebrates and other phyla, complementing the traditional focus on vertebrates.

The work highlighted on this page was produced by the Sustainability and Infrastructure Reseach Program and the Development Economics Data Group. The work was supported by funding from the Global Environment Facility and produced in collaboration with the World Bank's Environment Department. For additional World Bank resources on biodiversity, visit the World Bank Biodiversity Topic Page.


Highlighted Charts

The figures below highlight some of the key data and findings from our open-access biodiversity datasets and research papers.


    Data

    Additional Datasets

    Gridded Level Database of Composite Terrestrial Human Coexistence Index and Individual Indicators
    Database of location-specific indicators and a composite index (geometric mean of these indicators) measuring human influence on terrestrial ecosystems. Metrics include population density, land use, and infrastructure, derived from open-access global spatial data.

    Gridded Level Database of Composite Marine Human Coexistence Index and Individual Indicators
    Database of location-specific indicators and a composite index (geometric mean of these indicators) measuring human influence on marine ecosystems. Metrics include coastal population density, fishing intensity, shipping density, and plastics pollution, derived from open-access global spatial data.

    Gridded Level Database of Composite Freshwater Human Coexistence Index and Individual Indicators
    Database of location-specific indicators and a composite index (geometric mean of these indicators) measuring human influence on freshwater ecosystems. Metrics include population density, water use, connectivity status, and infrastructure, derived from open-access global spatial data.

    National Level Dataset of Species Endemism, Small Occurrence and Species at Risk
    Database of total species counts (indicators of species richness), endemic species, small-occurrence region species, and those with estimated extinction risk over 80%, covering arthropods, mollusks, plants, fungi, and vertebrates across terrestrial, freshwater, and marine environments by country or territory.

    Species Richness and Count of Species at Risk in Transboundary River Basins
    Database of total species counts (indicators of species richness), endemic species, small-occurrence region species, and those with estimated extinction risk over 80%, covering arthropods, mollusks, plants, fungi, and vertebrates across terrestrial, freshwater, and marine environments in river basins spanning more than one country.

    Species Richness and Count of Species at Risk in Fragile and Conflict-Affected Situations
    Database of total species counts (indicators of species richness), endemic species, small-occurrence region species, and those with estimated extinction risk over 80%, spanning arthropods, mollusks, plants, fungi, and vertebrates across terrestrial, freshwater, and marine environments in “Fragile and Conflict-Affected Situations.” 

    Surveyed Fish Species in Bangladesh: Price, Catch Quantity and Maximum Salinity Tolerance
    Database of 2024 prices, catch quantities, and salinity tolerance for freshwater, brackish-water, and marine fish species commonly found in coastal Bangladesh.

    Additional Resources

    Expanding Perspectives on Biodiversity: Open Access Indicators and their Applications
    Technical Report, Susmita Dasgupta, Brian Blankespoor, and David Wheeler, forthcoming

    The World Bank's Global Biodiversity Data & Analytics initiative leverages machine learning to generate species occurrence maps from freely accessible, georeferenced data provided by the Global Biodiversity Information Facility (GBIF). The advanced algorithms developed through this initiative have produced maps covering nearly 600,000 terrestrial and aquatic species, spanning vertebrates, arthropods, mollusks, vascular plants, fungi, and other organisms. This project has produced the world’s largest open-source species map database, broadening the scope of biodiversity conservation. Beyond the traditionally well-represented vertebrates—amphibians, birds, fish, reptiles, and mammals—the database now includes a fivefold increase in habitat data for plants and tenfold for invertebrates and other phyla.

    Broadening Our View Of Global Biodiversity 
    Presentation, Brian Blakenspoor, Susmita Dasgupta, and David Wheeler, November 2024

    Collage of animals highlighting biodiversity
    This presentation provides a comprehensive overview of the work to map occurrence regions for nearly 600,000 species of flora and fauna. It covers identification of occurrence regions of critical species; estimation of extinction risks for all species; human coexistence indicators; maps of species in geopolitically sensitive areas; and prototypes of biodiversity profiles for a region and a countries. It also includes illustrations of the use of the data. Download the presentation >

     


    Research Papers

    Additional Research Papers

     


    The Global Biodiversity Information Facility (GBIF)'s expanding global species database is a valuable resource for conservation. The estimation algorithms are designed for rapid updates, supporting the ongoing growth of open-source GBIF reports and enabling broader applications in biodiversity conservation.

    It is expected that these research products will support the Global 2030 Target 3 (Conserve 30% of land, waters and seas) of the Biodiversity Plan of the Kunming-Montreal Global Biodiversity Framework. For World Bank operations, this will support the implementation of ESS6 (Biodiversity Conservation) during project preparation and implementation in key biodiversity-rich countries.