Terrestrial Biodiversity indicators

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Biodiversity indicator values (scores) for grid cells at 1-kilometer resolution, derived from over 25,000 range maps of species provided by IUCN and Birdlife International. The raw data from the range maps are unpublished and not for public distribution. The data were provided to the World Bank by IUCN and Birdlife International under agreements including the condition that the raw data would not be divulged. Accordingly, those data are not provided in this dataset.
Instead, the dataset contains various aggregate indicators for biodiversity, including:

  • Total counts of all mammals, all birds, all amphibians and all reptiles within each grid cell
  • Total counts of all critically endangered and endangered mammals, birds, amphibians and reptiles within each grid cell
  • Aggregate endemicity scores within each grid cell, derived from counts of endemic species/ species unique to the region)
  • Calculated extinction risks for species over 50, 100 and 500 years
  • Biome vulnerability, identified by WWF ecoregions

Detailed discussions of the methodology are in the following reports:

  1. Dasgupta, Susmita; Wheeler, David. 2016. Minimizing Ecological Damage from Road Improvement in Tropical Forests. Policy Research Working Paper: No. 7826. World Bank, Washington, DC. © World Bank.
  2. Danyo Stephen, Susmita Dasgupta and David Wheeler. 2018. Potential Forest Loss and Biodiversity Risks from Road Improvement in Lao PDR. World Bank Policy Research Working Paper 8569. World Bank, Washington, DC. © World Bank.
  3. Damania Richard, Jason Russ, David Wheeler and Alvaro Federico Barra. 2018. The Road to Growth: Measuring the Tradeoffs between Economic Growth and Ecological Destruction, World Development, Elsevier, vol. 101(C), pages 351-376.

Discussions of the underlying IUCN and Birdlife International data from which the indicators in this dataset are derived are in the following reports:
1. IUCN, Conservation International, Arizona State University, Texas A&M University, University of Rome, University of Virginia, Zoological Society London. An Analysis of Mammals on the IUCN Red List <www.iucnredlist.org/mammals>.
2. BirdLife International and Handbook of the Birds of the World (2016) Bird species distribution maps of the world. Version 6.0.

Type: 
Geospatial
Languages Supported: 
English
Topics: 
Environment and Natural Resources
Granularity: 
Geographical Coverage: 
East Asia & Pacific
American Samoa
Australia
Brunei Darussalam
Cambodia
China
Cook Islands
Fiji
French Polynesia
Guam
Hong Kong SAR, China
Indonesia
Japan
Kiribati
Korea, Dem. People's Rep.
Korea, Rep.
Lao PDR
Macao SAR, China
Malaysia
Marshall Islands
Micronesia, Fed. Sts.
Mongolia
Myanmar
Nauru
New Caledonia
New Zealand
Niue
Northern Mariana Islands
Palau
Papua New Guinea
Philippines
Samoa
Singapore
Solomon Islands
Taiwan, China
Thailand
Timor-Leste
Tonga
Tuvalu
Vanuatu
Vietnam
Europe & Central Asia
Albania
Andorra
Armenia
Austria
Azerbaijan
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Channel Islands
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Georgia
Germany
Gibraltar
Greece
Greenland
Hungary
Iceland
Ireland
Isle of Man
Italy
Kazakhstan
Kosovo
Kyrgyz Republic
Latvia
Liechtenstein
Lithuania
Luxembourg
Moldova
Monaco
Montenegro
Netherlands
North Macedonia
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovak Republic
Slovenia
Spain
Sweden
Switzerland
Tajikistan
Turkey
Turkmenistan
Ukraine
United Kingdom
Uzbekistan
Latin America & Caribbean
Anguilla
Antigua and Barbuda
Aruba
Argentina
Bahamas, The
Barbados
Belize
Bolivia
Brazil
British Virgin Islands
Cayman Islands
Chile
Costa Rica
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
El Salvador
Grenada
Guatemala
Guyana
Haiti
Honduras
Jamaica
Martinique
Mexico
Montserrat
Nicaragua
Panama
Paraguay
Peru
Netherlands Antilles
Puerto Rico
Sint Maarten (Dutch part)
St. Barthélemy
St. Kitts and Nevis
St. Martin (French part)
St. Lucia
St. Vincent and the Grenadines
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela, RB
Virgin Islands (U.S.)
Middle East & North Africa
Algeria
Bahrain
Egypt, Arab Rep.
Djibouti
Iraq
Iran, Islamic Rep.
Israel
Jordan
Kuwait
Lebanon
Libya
Malta
Morocco
Oman
Qatar
Saudi Arabia
Syrian Arab Republic
West Bank and Gaza
United Arab Emirates
Tunisia
Yemen, Rep.
North America
Bermuda
Canada
United States
South Asia
Afghanistan
Bangladesh
Bhutan
India
Pakistan
Nepal
Maldives
Sri Lanka
Sub-Saharan Africa
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo, Dem. Rep.
Congo, Rep.
Côte d'Ivoire
Ethiopia
Eritrea
Equatorial Guinea
Gabon
Gambia, The
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mozambique
Namibia
Niger
Nigeria
Reunion
Rwanda
São Tomé and Principe
Seychelles
Senegal
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Eswatini
Tanzania
Togo
Uganda
Zambia
Zimbabwe
Economy Coverage: 
High Income
Low Income
Lower Middle Income
Upper Middle Income
Periodicity: 
Periodicity not specified
Release Date: 
May 2, 2019

Last Updated

Last Updated: 
May 2, 2019
Time Periods: 
April, 2019
Reference System: 
WGS84

No Visualizations Available.

Biodiversity indicator values (scores) for grid cells at 1-kilometer resolution, derived from over 25,000 range maps of species provided by IUCN and Birdlife International. The raw data from the range maps are unpublished and not for public distribution. The data were provided to the World Bank by IUCN and Birdlife International under agreements including the condition that the raw data would not be divulged. Accordingly, those data are not provided in this dataset.
Instead, the dataset contains various aggregate indicators for biodiversity, including:

  • Total counts of all mammals, all birds, all amphibians and all reptiles within each grid cell
  • Total counts of all critically endangered and endangered mammals, birds, amphibians and reptiles within each grid cell
  • Aggregate endemicity scores within each grid cell, derived from counts of endemic species/ species unique to the region)
  • Calculated extinction risks for species over 50, 100 and 500 years
  • Biome vulnerability, identified by WWF ecoregions

Detailed discussions of the methodology are in the following reports:

  1. Dasgupta, Susmita; Wheeler, David. 2016. Minimizing Ecological Damage from Road Improvement in Tropical Forests. Policy Research Working Paper: No. 7826. World Bank, Washington, DC. © World Bank.
  2. Danyo Stephen, Susmita Dasgupta and David Wheeler. 2018. Potential Forest Loss and Biodiversity Risks from Road Improvement in Lao PDR. World Bank Policy Research Working Paper 8569. World Bank, Washington, DC. © World Bank.
  3. Damania Richard, Jason Russ, David Wheeler and Alvaro Federico Barra. 2018. The Road to Growth: Measuring the Tradeoffs between Economic Growth and Ecological Destruction, World Development, Elsevier, vol. 101(C), pages 351-376.

Discussions of the underlying IUCN and Birdlife International data from which the indicators in this dataset are derived are in the following reports:
1. IUCN, Conservation International, Arizona State University, Texas A&M University, University of Rome, University of Virginia, Zoological Society London. An Analysis of Mammals on the IUCN Red List <www.iucnredlist.org/mammals>.
2. BirdLife International and Handbook of the Birds of the World (2016) Bird species distribution maps of the world. Version 6.0.

FieldValue
Modified Date
2020-04-16
Release Date
Periodicity
Identifier
c33b4431-0204-46ca-892f-ff209dbd2083
License
License Not Specified
Public Access Level
Public
Rating: 
5
Average: 5 (1 vote)
Type: 
Languages Supported: 
Time Periods: 
April, 2019
Reference System: 
WGS84
Is this dataset a subscription: 
No
Geographical Coverage: 
Data Classification of a Dataset: 
DEC
Programatic Region: 
Release Date: 
Thursday, May 2, 2019
Last Updated Date: 
Thursday, May 2, 2019
Granularity: 
Modified date: 
18017
Primary Dataset: 
Yes

Data Access and Licensing

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is licensed under CC-BY-NC-SA 4.0

CC-BY-NC-SA 4.0

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