Bushmeat research database

The Bushmeat Research Initiative (BRI) was established in 2011 as an integral part of the CGIAR Research Program on Forests, Trees and Agroforestry. It is based on knowledge accumulated by CIFOR scientists and partners over more than 15 years of research, and focuses on the multiple benefits, functions and risks associated with the harvesting of bushmeat in tropical forests worldwide. Since 1993, CIFOR scientists and collaborators have produced several publications on the patterns of bushmeat harvesting, consumption and marketing, which have greatly influenced decision-making and policy design at the local, regional and national levels. They have also contributed to the diverse initiatives of agencies and institutions involved in the conservation and management of forest resources for biodiversity and human welfare. The BRI aims to continue generating cutting-edge information and syntheses on the role of bushmeat in enhancing or limiting the adaptive responses of forest-dependent communities to the challenges and opportunities produced by climate change, urban expansion and other socio-environmental shifts. Scientists participating in the program will help develop managerial tools that will help to improve the sustainability of bushmeat harvesting at the local and national levels across the Neotropics, Africa and Asia.

Dataset's Files

Bushmeat research map database.csv

MD5: dd73d8ae05896b5073d9b0b1c92448e6

The table extract information from the Endnote database to allows users to visualize the thematic and geographic distribution of bushmeat-related research. Users can filter studies by continent, research theme(s), study location, institutions, etc. When available, each record includes a DOI-based link to the article on the journal or publisher website

The searchable bibliographic database contains >700 citations that include peer-reviewed journal articles, books and book chapters, technical papers, reports and conference proceedings. Users can search by author, year, journal name, continent, research theme(s), study location, institutions, etc. The complementary dynamic map database uses Google Fusion Tables and allows users to visualize the thematic and geographic distribution of bushmeat-related research. Both databases provide direct DOI-based links to the articles on the journal or publisher website.

Term of use
These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation.

Center for International Forestry Research



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