Replication Data for: Kenyan fisheries catch data - catch, effort, and fishing area expansion (1995–2018)

Kenyan Fisheries Catch Data – Catch, Effort, and Fishing Area Expansion (1995–2018) Generated on: 2026-02-17 Author: Tim McClanahan 1. General Information a. Title of the Dataset Kenyan fisheries catch data – catch, effort, and fishing area expansion (1995–2018) b. Data Collection Period 1995 to 2018 c. Geographic Location Country: Kenya North: 3°47'33.8"S, 39°50'12.4"E to South: 4°25'43.0"S, 39°30'41.7"E 2. Data Overview a. Introduction This dataset contains annual landing site-level fisheries production data used to examine temporal trends in catch, fishing effort, and spatial expansion of fishing areas. Temporal resolution: Annual Spatial resolution: Landing site level Missing values: Represented as blank cells The landing sites are classified as either expanded or non-expanded, and the fishing ground areas are provided as: Initial fishing areas – Previously established fishing grounds Final fishing areas – Areas established in 2018 Interpolated fishing areas – See methodological information section in the supporting READMe documentation b. Variables The variables include: year, landing_site, expansion, latitude, longitude, initial_fishing_areas, final_fishing_areas, interpolated_fishing_areas, fishers, catch, initial_effort, initial_cpue, initial_cpua, final_effort, final_cpue, final_cpua, interpolated_effort, interpolated_cpue, interpolated_cpua See provided documentation for variables description 3. Other Information Author Information Name: Tim McClanahan ORCID: 0000-0001-5821-3584 Institution: Wildlife Conservation Society Address: 2300 Southern Boulevard, Bronx, New York, 10460, United States Email: [e-mail] Technician Information Name: Kelvin Kiplagat ORCID: 0009-0002-1113-7574 Institution: Wildlife Conservation Society Address: Kenyatta Beach, Kibaki Flats 12, Mombasa, Kenya Email: [e-mail] Funding Sources Wildlife Conservation Society, through grants from the Tiffany Foundation Sharing / Access Information License: Creative Commons Attribution 4.0 International (CC BY 4.0) Recommended Citation: Refer to the citation provided by Harvard Dataverse