Abstract
Inland recreational fisheries, found in lakes, rivers, and other landlocked waters, are important to livelihoods, nutrition, leisure, and other societal ecosystem services worldwide. Although recreationally-caught fish are frequently harvested and consumed by fishers, their contribution to food and nutrition has not been adequately quantified due to lack of data, poor monitoring, and under-reporting, especially in developing countries. Beyond limited global harvest estimates, few have explored species-specific harvest patterns, although this variability has implications for fisheries management and food security. Given the continued growth of the recreational fishery sector, understanding inland recreational fish harvest and consumption rates represents a critical knowledge gap. Based on a comprehensive literature search and expert knowledge review, we quantified multiple aspects of global inland recreational fisheries for 81 countries spanning ~192 species. For each country, we assembled recreational fishing participation rate and estimated species-specific harvest and consumption rate. This dataset provides a foundation for future assessments, including understanding nutritional and economic contributions of inland recreational fisheries.
Original language | English |
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Article number | 488 |
Journal | Scientific data |
Volume | 9 |
Issue number | 1 |
DOIs | |
Publication status | Published - Dec 2022 |
Externally published | Yes |
Bibliographical note
Funding Information:We thank Nick Sievert (University of Missouri) for conducting an internal USGS review and members of the InFish network (http://infish.org/) for helping to identify appropriate data sources. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. We thank all data providers, agencies, and organizations for their critical contributions to this work, and specifically the Autoridad Nacional de Acuicultura y Pesca of the Government of Colombia for collecting and providing data collected by government personnel.
Publisher Copyright:
© 2022, This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
ASJC Scopus Subject Areas
- Statistics and Probability
- Information Systems
- Education
- Computer Science Applications
- Statistics, Probability and Uncertainty
- Library and Information Sciences
PubMed: MeSH publication types
- Dataset
- Journal Article