Monitoring global fishing activity in proximity to seamounts using automatic identification systems

This is the final version. Available on open access from Wiley via the DOI in this recordData availability statement: The fishing effort datasets that support the findings of this study are available at https://globalfishingwatch.org/datasets-and-code/fishing-effort/. The seamount distribution dataset that supports the findings of this study is available at https://doi.pangaea.de/10.1594/PANGAEA.921688Seamounts are prominent features of the seafloor that are often located in Areas Beyond National Jurisdiction (ABNJs). Whilst comprehensive biological information is lacking on most of these features, they have been recognised for hosting high biodiversity across multiple trophic levels. Technological advancements have enabled greater exploitation of biological resources further offshore with increasing concern over the long-term impacts of anthropogenic activities on vulnerable distant and deep-sea habitats. Analysis of ex situ vessel tracking technologies such as Automatic Identification Systems (AIS) have enabled spatial patterns of fishing activity to be monitored over large geographical areas. In this study, analysis of fishing activity within 30 km of seamount summits at the global scale found that these features within the waters of the Pacific Island Group and the Mediterranean Sea were subject to the highest levels of longlining and trawling activities respectively. Fishing in proximity to seamounts is dominated by the flag states of Taiwan, China, Japan, South Korea and Spain. Furthermore, our results reveal that the majority of sea areas managed by many Regional Fishery Management Organisations (RFMOs) have experienced increased fishing activity at seamounts compared to areas in the same ocean basin without management. This study demonstrates how free web-accessible data can be used to gain insights into remote areas where in situ research is prohibitively expensive and logistically challenging

High resolution biologging of breaching by the world's second largest shark species

This is the final version. Available on open access from Nature Research via the DOI in this recordData availability: the datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.Basking sharks, the world’s second largest fish, are endangered globally following two centuries of large-scale exploitation for their oily livers. In the northeast Atlantic, they seasonally gather in key sites, including the western Scottish Isles, where they feed on plankton, but their breeding grounds are currently completely unknown. Using high36 resolution three-axis accelerometry and depth logging, we present the first direct records of breaching by basking sharks over 41 days. We show that basking sharks breach both during the night and day, starting at approximately 20 metres depth and can breach multiple times in short succession. We also present early evidence of potential lateralisation in basking sharks. Given the energetic nature of breaching, it should have an important biological function, but this remains unclear.Scottish Natural HeritageNatureSco

Shining light on data-poor coastal fisheries

This is the final version. Available on open access from Frontiers Media via the DOI in this recordData Availability Statement: VIIRS Boat Detection data productmade available open access by the Earth Observation Group, Payne Institute for Public Policy (https://eogdata.mines.edu/vbd/). The other datasets presented in this article are not readily available because data requests need to be made directly to the WCS Myanmar offices. Requests to access the datasets should be directed to WCS Myanmar, [email protected] fisheries provide livelihoods and sustenance for millions of people globally but are often poorly documented. Data scarcity, particularly relating to spatio-temporal trends in catch and effort, compounds wider issues of governance capacity. This can hinder the implementation and effectiveness of spatial tools for fisheries management or conservation. This issue is acute in developing and low income regions with many small-scale inshore fisheries and high marine biodiversity, such as Southeast Asia. As a result, fleets often operate unmonitored with implications for target and non-target species populations and the wider marine ecosystem. Novel and cost-effective approaches to obtain fisheries data are required to monitor these activities and help inform sustainable fishery and marine ecosystem management. One such example is the detection and numeration of fishing vessels that use artificial light to attract catch with nighttime satellite imagery. Here we test the efficiency and application value of nighttime satellite imagery, in combination with landings data and GPS tracked vessels, to estimate the footprint and biomass removal of an inshore purse seine fishery operating within a region of high biodiversity in Myanmar. By quantifying the number of remotely sensed vessel detections per month, adjusted for error by the GPS tracked vessels, we can extrapolate data from fisher logbooks to provide fine-scale spatiotemporal estimates of the fishery’s effort, value and biomass removal. Estimates reveal local landings of nearly 9,000 mt worth close to $4 million USD annually. This approach details how remote sensed and in situ collected data can be applied to other fleets using artificial light to attract catch, notably inshore fisheries of Southeast Asia, whilst also providing a much-needed baseline understanding of a data-poor fishery’s spatiotemporal activity, biomass removal, catch composition and landing of vulnerable species.Wildlife Conservation Societ