Spatio-Temporal Fish Catch Assessments Using Fishing Vessel Trajectories and Coastal Fish Landing Data from around Jeju Island

Abstract

While pressure on marine ecosystems leading to declines in global fish catches have been attributed to excessive fishing and to unregulated and unreported fishing, existing management practices have yet to fully address these declines. Estimation of spatial and temporal distribution of fisheries resources and the extent of fishing impacts on marine ecosystems using vessel trajectories has become central in recent studies. This study proposed the use of trajectories of 771 Korean coastal and offshore fishing vessels and one-year fish landing data to estimate variations in commercial fish species, vessel, and fishing gear activity distributions in the waters around Jeju island. A set of standards were applied to identify individual fishing tracks of major gears and uniformly distributed catch to fishing segments of trajectories to produce spatio-temporal distributions of catch, fishing activities, and vessel reliance on fishing grounds at a fine spatial scale. The method identified reference points that can inform management at local and regional scales. We discuss the opportunities of combining larger datasets collected over a longer period and applying predictive modeling techniques in making extensive assessments, including climate change impacts on fishing activities that can inform resource management and marine spatial planning.

Ingestion of fishing gear and Anisakis sp. infection in a beached Indo-Pacific finless porpoise (Neophocaena phocaenoides) in the Jeju Island, Republic of Korea: findings from post-mortem computed tomography and necropsy

“…In March, all the seawater around Jeju Island forms legal fishing grounds for hairtail, with a particularly high concentration of fishing activity along the eastern sea of Jeju [ 48 ]. It is possible that hairtail fishing gear ingestion occurred in these eastern waters.…”

Enhancing Chub Mackerel Catch Per Unit Effort (CPUE) Standardization through High-Resolution Analysis of Korean Large Purse Seine Catch and Effort Using AIS Data

“…However, the catch rate was notably high in 2021, despite this trend. While catches of chub mackerel are regulated by the TAC system, the species has experienced substantial abundance fluctuations over the decades, with annual catch levels and CPUE corresponding to and following the same trend as allocated quotas [3,10]. Catch data obtained from quota allocation systems tend to bias CPUE estimates as fishing effort is concentrated before and after season and area closures, resulting in apparent abundance and high CPUES [38].…”

“…Refs. [7,8,10] utilized AIS and VMS data in combination with logbook information to explore the spatial-temporal distribution of catch and effort at high resolution.…”