An evaluation of observer monitoring program designs for Chinese tuna longline fisheries in the Pacific Ocean using computer simulations

Wang, Jiaqi; Gao, Xiang; Chen, Jessica; Dai, Xiaojie; Tian, Shu; Chen, Yong

doi:10.1007/s11356-020-11266-1

Cited by 1 publication

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This level of coverage has been found insufficient for estimating total catch for data-rich target species, e.g., tunas ( 31 ). Much higher coverage would be required to estimate catches of species caught less frequently such as seabirds and turtles ( 33 ).…”

Section: Discussionmentioning

confidence: 99%

Unseen overlap between fishing vessels and top predators in the northeast Pacific

Welch,

Clavelle,

White

et al. 2024

Sci. Adv.

View full text Add to dashboard Cite

Accurate assessments of human-wildlife risk associated with industrial fishing are critical for the conservation of marine top predators. Automatic Identification System (AIS) data provide a means of mapping fishing and estimating human-wildlife risk; however, risk can be obscured by gaps in the AIS record due to technical issues and intentional disabling. We assessed the extent to which unseen fishing vessel activity due to AIS gaps obscured estimates of overlap between fishing vessel activity and 14 marine predators including sharks, tunas, mammals, seabirds, and critically endangered leatherback turtles. Among vessels equipped with AIS in the northeast Pacific, up to 24% of total predator overlap with fishing vessel activity was unseen, and up to 36% was unseen for some individual species. Waters near 10°N had high unseen overlap with sharks yet low reported shark catch, revealing potential discrepancies in self-reported datasets. Accounting for unseen fishing vessel activity illuminates hidden human-wildlife risk, demonstrating challenges and solutions for transparent and sustainable marine fisheries.

show abstract

Section: Discussionmentioning

confidence: 99%