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Detecting anchored fish aggregating devices (AFADs) and estimating use patterns from vessel tracking data in small-scale fisheries


Widyatmoko, AC and Hardesty, BD and Wilcox, C, Detecting anchored fish aggregating devices (AFADs) and estimating use patterns from vessel tracking data in small-scale fisheries, Scientific Reports, 11 Article 17909. ISSN 2045-2322 (2021) [Refereed Article]


Copyright Statement

Copyright 2021 the authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1038/s41598-021-97227-1


Monitoring the use of anchored fish aggregating devices (AFADs) is essential for effective fisheries management. However, detecting the use of these devices is a significant challenge for fisheries management in Indonesia. These devices are continually deployed at large scales, due to large numbers of users and high failure rates, increasing the difficulty of monitoring AFADs. To address this challenge, tracking devices were attached to 34 handline fishing vessels in Indonesia over a month period each. Given there are an estimated 10,000-50,000 unlicensed AFADs in operation, Indonesian fishing grounds provided an ideal case study location to evaluate whether we could apply spatial modeling approaches to detect AFAD usage and fish catch success. We performed a spatial cluster analysis on tracking data to identify fishing grounds and determine whether AFADs were in use. Interviews with fishers were undertaken to validate these findings. We detected 139 possible AFADs, of which 72 were positively classified as AFADs. Our approach enabled us to estimate AFAD use and sharing by vessels, predict catches, and infer AFAD lifetimes. Key implications from our study include the potential to estimate AFAD densities and deployment rates, and thus compliance with Indonesia regulations, based on vessel tracking data.

Item Details

Item Type:Refereed Article
Keywords:AFADs, anchored fish aggregating devices, fisheries management
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Fisheries sciences
Research Field:Fisheries management
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Marine systems and management not elsewhere classified
UTAS Author:Hardesty, BD (Dr Britta Hardesty)
ID Code:152647
Year Published:2021
Web of Science® Times Cited:1
Deposited By:Research Performance and Analysis
Deposited On:2022-08-22
Last Modified:2022-09-20
Downloads:1 View Download Statistics

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