The world is experiencing a severe loss of biodiversity, highlighting the need for a strong global conservation strategy. Effective conservation depends on accurate information about where endangered species live and the local threats they face. Using data from the Global Biodiversity Information Facility, this paper creates threat and protection indicators for more than 600,000 species, including animals, plants, and fungi. The indicators include habitat size, level of protection, nearby population density, and specific threats like population encroachment for land species and fishing activity for marine species. The paper then uses an ordered logit model to analyze the relationship between these indicators and the extinction risk categories assigned by the International Union for Conservation of Nature. The model is based on 87,731 species in the Global Biodiversity Information Facility database that have been assessed by the International Union for Conservation of Nature. The results are used to predict threat levels for 512,675 species without International Union for Conservation of Nature ratings, revealing many more potentially threatened species and changing the maps of “conservation hotspots.” The paper concludes by noting that its methods can support rapid updates of species maps and threat indicators as the Global Biodiversity Information Facility database continues to grow.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 10 Enterprise, version 22H2
• Processor: Intel(R) Xeon(R) Gold 6132 CPU @ 2.60GHz 2.60 GHz (2 processors)
• Memory available: 128 GB
• Software version: R 4.3.3
Runtime: 4 hours.
Users need to download the dataset "World Bank Boundaries and Coast Lines", open the main script "biod_threats_wo__main.R", run the code "renv::init()" to initialize the renv environment, select option 1 to restore it from the lockfile, and run the main script to reproduce the results.
Some data is not yet publicly available but is expected to be made available in the future.
Author | Affiliation | |
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Susmita Dasgupta | World Bank | sdasgupta@worldbank.org |
Brian Blankespoor | World Bank | bblankespoor@worldbank.org |
David Wheeler | World Bank | dwheeler1@worldbank.org |
2024-06
Location | Code |
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World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Brian Blankespoor | World Bank | bblankespoor@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-09-09
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