Abstract
Excess harvesting power can threaten the long-term sustainability of fisheries. Indicators of excess harvesting capacity must include input–output-based estimates of economic production ...efficiency. The increasing use of drifting Fish-Aggregating-Devices (DFADs) has boosted fishing productivity in high-seas tuna fisheries, perhaps beyond the biological capacity of the stocks, and is an object of global debate. We carried out a Data Envelopment Analysis (DEA) of relative changes in production efficiencies of the French purse-seine fleet targeting tropical tuna in the western Indian Ocean using two fishing strategies: (1) on floating objects (FOB) and (2) free swimming schools (FSC) using tuna catch and effort data spanning 1992–2019. We show that FOB fishing evolved dramatically through time with an estimated change of 3.6%yr
−1
(8.0%yr
−1
2007–2019), in contrast to 2.1%yr
−1
for FSC. While the efficiency level in combining and using inputs has barely changed for FOB fishing, it means that all the growth in productivity comes from technical change for this strategy. The dynamics is different for the FSC with a mixture of innovation and higher efficiency. Immediate plans to improve input-based management in this region are needed to prevent further risks of overfishing to yellowfin (
Thunnus albacares
) and skipjack (
Katsuwonus pelamis
) tunas.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Trawling pressure and environmental changes may affect the composition of fish assemblages. Our knowledge on large spatio-temporal patterns of demersal fish composition remains incomplete for the ...Mediterranean Sea. We investigated (1) the spatio-temporal stability of demersal assemblages, (2) the relationships between these assemblages and potential structuring factors (trawling pressure and environmental conditions) in order to assess the dynamic of the assemblage structure at the scale of the northern Mediterranean Sea. We analysed a dataset of 18062 hauls from 10 to 800 m depth performed annually during the last two decades across 17 Geographical Sub-Areas (GSAs) (MEDITS program). A multi-table analysis (STATICO-CoA) evidenced a strong inter-GSAs stability in the organization of assemblages, with specificities for some GSAs. The most stable structuring factors were linked to combined gradients of chlorophyll a, phytoplancton carbon biomass and temperature, inversely correlated with depth, salinity and nutrient gradients (axis 1 of the STATICO-CoA compromise, 93.74% of the total variability). A common pattern linking the distribution of species to these environmental gradients was evidenced for most of the 17 GSAs. Estimate of trawling pressure showed a minor role in the organization of the assemblages for the spatial scale and years investigated (axis 2, 4.67%).
Debris from fisheries pose significant threats to coastal marine ecosystems worldwide. Tropical tuna purse seine fisheries contribute to this problem via the construction and deployment of thousands ...of human-made drifting fish aggregating devices (dFADs) annually, many of which end up beaching in coastal areas. Here, we analyzed approximately 40,000 dFAD trajectories in the Indian Ocean and 12,000 dFAD trajectories in the Atlantic Ocean deployed over the decade 2008–2017 to identify where and when beachings occur. We find that there is tremendous promise for reducing beaching events by prohibiting deployments in areas most likely to lead to a beaching. For example, our results indicate that 21% to 40% (depending on effort redistribution after closure) of beachings can be prevented if deployments are prohibited in areas in the south of 8°S latitude, the Somali zone in winter, and the western Maldives in summer for the Indian Ocean, and in an elongated strip of areas adjacent to the western African coast for the Atlantic Ocean. In both oceans, the riskiest areas for beaching are not coincident with areas of high dFAD deployment activity, suggesting that these closures could be implemented with relatively minimal impact to fisheries. Furthermore, the existence of clear hotspots for beaching likelihood and the high rates of putative recovery of dFAD buoys by small-scale fishers in some areas suggests that early warning systems and dFAD recovery programs may be effective in areas that cannot be protected via closures if appropriate incentives can be provided to local partners for participating in these programs.
•dFAD beaching rate increased dramatically over 2008–2013 and then stabilized at ~18%.•dFAD beaching locations clearly identify coastal beaching hotspots.•Beaching risk depends on the upper ocean circulation and its seasonal variability.•Prohibiting dFAD deployments in the highest risk areas significantly reduces beaching.•Spatial closure optimization can account for seasonal variability in beaching risk.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Tropical tuna purse-seine fisheries deploy thousands of human-made drifting fish aggregating devices (dFADs) annually, raising a number of concerns regarding ecosystem impacts. In this study, we ...explored the use of a Lagrangian particle-tracking model to simulate the drift of dFADs in the Atlantic and Indian Oceans. We simulated more than 100,000 dFADs trajectories using the Lagrangian tool Ichthyop forced with velocity fields from an ocean model output (GLORYS12V1) and two satellite-derived ocean currents products (OSCAR and GEKCO). Importantly, through a collaborative agreement with the French frozen tuna producers’ organization we had access to the true locations of all dFADs along their drift and could therefore evaluate the accuracy of our simulations. The accuracy was assessed by comparing the observed and simulated trajectories in terms of spatial distribution, separation distance, and a non-dimensional skill score (an index based on separation distances normalized by net displacements of dFADs). In the two oceans, simulations forced with GLORYS12V1 were more accurate than with OSCAR and GEKCO, probably due to the differences in the spatio-temporal resolution of the forcing products. When we compared multiple depths for GLORYS12V1, the model performed better at 0 m in the Indian Ocean and at 5 m in the Atlantic Ocean, which could be related to the longer vertical structure of dFADs in the Atlantic Ocean. We showed that including a windage factor did not improve the accuracy of modeled dFADs trajectories. We found that mean model-data separation distances were similar in both oceans, exceeding 100 km after 6–8 days of drift. While separation distances between simulated and observed trajectories show that model errors were similar in the two oceans, the generally longer distances traveled by dFADs in the Indian Ocean than in the Atlantic Ocean lead to considerably higher skill scores in the former than in the latter. This explains the relatively good predictive ability of the model to represent mean dFAD densities at the basin scale in both oceans, while at the same time indicates higher prediction skills for the movements of individual dFADs in the Indian Ocean than in the Atlantic Ocean.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract
Purse-seine fisheries use drifting Fish Aggregating Devices (dFADs), human-made floating objects, to facilitate the capture of tropical tunas. Currently, the majority of dFADs are ...constructed primarily of highly durable non-biodegradable materials and there is no legal obligation to recover dFADs after deployment, leading to beaching events and potentially negative environmental impacts. We assessed beachings as a function of intra- and inter-annual trends, water depth, distance from land, seasonality, and benthic habitat within the local context of the Seychelles Archipelago using trajectories of dFADs deployed by French purse seiners over 2008–2020. Overall, 3842 beaching events associated with 2371 distinct dFAD tracking buoys were identified. Beachings occurred most frequently during the winter monsoon (December–March). Due to the shallow Mahé Plateau, beachings occurred in both nearshore (≤ 5 km from land) and offshore (> 5 km) regions, predominantly in estimated depths less than 60 m. Despite representing < 20% of overall mapped habitat, the benthic habitat “Coral/Algae” had the highest beaching rate (35.3% of beachings), and therefore, beachings pose a significant concern for conservation. Our results provide a detailed view of the spatio-temporal pattern of beachings in the Seychelles, supporting the development of mitigation and prevention methods to reduce marine debris and perturbations to the marine environment.
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