{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-09-09","version":"1"},"project_desc":{"authoring_entity":[{"name":"Susmita Dasgupta","affiliation":"World Bank","email":"sdasgupta@worldbank.org"},{"name":"Brian Blankespoor","affiliation":"World Bank","email":"bblankespoor@worldbank.org"},{"name":"David Wheeler","affiliation":"World Bank","email":"dwheeler1@worldbank.org"}],"output":[{"type":"Working paper","title":"Estimating Extinction Threats with Species Occurrence Data from the Global Biodiversity Information Facility","description":"Policy Research Working Paper (PRWP) 10822","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099152306252433493\/IDU1e8ad37801d7691402d19dd41cc391b8efd48","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10822"}],"datasets":[{"name":"Global Biodiversity Data","note":"Source: World Bank. Data used from this dataset: Global Biodiversity Species Global Grid, Global Biodiversity Species Occurrence Gridded Data, Global Biodiversity Species Extinction Risks Data, Global Biodiversity Species Occurrence Endemism and Small Occurrence Data. Data was accessed in August 2024.","uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0066034\/global-biodiversity-data","license":"Creative Commons Attribution 4.0","license_uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0066034\/global-biodiversity-data","access_type":"Data is public but not included in the reproducibility package. The code downloads the data directly."},{"name":"The IUCN Red List of Threatened Species","note":"Source: International Union for Conservation of Nature and Natural Resources. The data used includes the list of species for least critical (LC), near threatened (NT), vulnerable (VU), endangered (EN), and critically endangered (CR) species. Data was accessed in February 2024 (version: May 2023). ","uri":"https:\/\/doi.org\/10.15468\/0qnb58","license_uri":"https:\/\/www.gbif.org\/terms","license":"Creative Commons Attribution 4.0","access_type":"Data is public but not included in the reproducibility package. The code downloads the data directly."},{"name":"World Bank Boundaries and Coast Lines","note":"Source: World Bank. Data files: \"local_data\/Boundary_Data_50mil\/ne_50m_WB_admin_0_boundary_lines.shp\", \"local_data\/Boundary_Data_50mil\/ne_50m_WB_admin_0_boundary_lines_disputed.shp\", \"local_data\/Boundary_Data_50mil\/ne_50m_WB_coastline.shp\".","access_type":"Data is included in the reproducibility package."}],"title_statement":{"idno":"RR_WLD_2024_191","title":"Reproducibility package for Estimating Extinction Threats with Species Occurrence Data from the Global Biodiversity Information Facility"},"production_date":"2024-06","abstract":"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 \u201cconservation hotspots.\u201d 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.","geographic_units":[{"name":"World ","code":"WLD"}],"keywords":[{"name":"Conservation planning"},{"name":"Global biodiversity"},{"name":"Species\u2019 occurrence region"},{"name":"Species\u2019 Extinction Threats"},{"name":"Kunming-Montreal Global Biodiversity Framework"}],"topics":[{"id":"Q57","name":"Ecological Economics: Ecosystem Services \u2022 Biodiversity Conservation \u2022 Bioeconomics \u2022 Industrial Ecology ","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","parent_id":"Q5","vocabulary":"Journal of Economic Literature"}],"data_statement":"All data sources are publicly available and included in the reproducibility package or downloaded directly by the code.","software":[{"name":"R","version":"4.3.3"}],"scripts":[{"file_name":"RR_WLD_2024_191","zip_package":"RR_WLD_2024_191.zip","title":"Reproducibility package (code and data) for Estimating Extinction Threats with Species Occurrence Data from the Global Biodiversity Information Facility","date":"2024-11","dependencies":"All dependencies and their versions are listed in the file \"renv.lock\".","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank) ","uri":"https:\/\/reproducibility.worldbank.org"}],"reproduction_instructions":"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.","technology_requirements":"Runtime: 4 hours.","technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 10 Enterprise, version 22H2\n\u2022 Processor: Intel(R) Xeon(R) Gold 6132 CPU @ 2.60GHz 2.60 GHz (2 processors)\n\u2022 Memory available: 128 GB\n\u2022 Software version: R 4.3.3","disclaimer":"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.","license":[{"name":"Modified BSD3 ","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"affiliation":"World Bank","name":"Brian Blankespoor","email":"bblankespoor@worldbank.org"},{"name":"Reproducibility WBG ","affiliation":"World Bank","email":"reproducibility@worldbank.org"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}