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603 results for “fisheries”
How adaptive capacity shapes the Adapt, React, Cope Response to climate impacts: insights from small-scale fisheries
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Data from: Seasonal and annual differences in the foraging ecology of two gull species breeding in sympatry and their use of fishery discards
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Data from: Climate change impacts on marine biodiversity, fisheries and society in the Arabian Gulf
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Data from: Catch diversification provides multiple benefits in inland fisheries
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Data from: Can multi-species shark longline fisheries be managed sustainably using size limits? Theoretically, yes. Realistically, No.
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Data from: Genetic and life-history changes associated with fisheries-induced population collapse
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Data from: Shifts in North Sea forage fish productivity and potential fisheries yield
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Data from: Rethinking sustainability in seafood: synergies and trade-offs between fisheries and climate change
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Fig. 1 in Fisheries, life-history and conservation status of the catfish pirá Conorhynchos conirostris (Ostariophysi: Siluriformes) in Brazil
Fig. 1. Conorhynchos conirostris, pirá (drawing by Paulo Henrique Fiote).
Modelled spatiotemporally explicit fish densities at different fisheries management scenarios
<ol> <li>Conflicts of interest between resource extraction and conservation are widespread, and negotiating such conflicts or trade-offs is a key issue for ecosystem managers. One such trade-off is resource competition between fisheries and marine top predators. Managing this trade-off has so far been difficult due to a lack of knowledge regarding the amount and distribution of prey required by top predators.</li> <li>Here, we develop a framework that can be used to address this gap: a bio-energetic model linking top predator breeding biology and foraging ecology with forage fish ecology and fisheries management.</li> <li>We apply the framework to a Baltic Sea colony of common guillemots <i>Uria aalge</i> and razorbills <i>Alca torda</i>, two seabird species sensitive to local prey depletion, and show that densities of forage fish (sprat <i>Sprattus sprattus</i> and herring <i>Clupea harengus</i>) corresponding to the current fisheries management target B<sub>MSY</sub> are sufficient for successful breeding. A previously proposed fisheries management target for conserving seabirds, 1/3 of historical maximum prey biomass (B<sub>1/3</sub>), was also sufficient.</li> <li>However, the results highlight the importance of maintaining sufficient prey densities in the vicinity of the colony, suggesting that fine-scale spatial fisheries management is necessary to maintain high seabird breeding success.</li> <li>Despite foraging on the same prey, razorbills could breed successfully at lower prey densities than guillemots but needed higher densities for self-maintenance, emphasizing the importance of considering species-specific traits when determining sustainable forage fish densities for top predators.</li> <li> <i>Synthesis and application.</i> Our bio-energetic modelling framework provides spatially explicit top predator conservation targets that can be readily integrated with current fisheries management. The framework can be combined with existing management approaches such as Dynamic Ocean Management, Marine Spatial Planning and Management Strategy Evaluation to inform ecosystem-based management of marine resources.</li> </ol>
Data from: Gigapixel big data movies provide cost‐effective seascape scale direct measurements of open‐access coastal human use such as recreational fisheries
Collecting data on unlicensed open‐access coastal activities, such as some types of recreational fishing, has often relied on telephone interviews selected from landline directories. However, this approach is becoming obsolete due to changes in communication technology such as a switch to unlisted mobile phones. Other methods, such as boat ramp interviews, are often impractical due to high labor cost. We trialed an autonomous, ultra‐high‐resolution photosampling method as a cost effect solution for direct measurements of a recreational fishery. Our sequential photosampling was batched processed using a novel software application to produce "big data" time series movies from a spatial subset of the fishery, and we validated this with a regional bus‐route survey and interviews with participants at access points. We also compared labor costs between these two methods. Most trailer boat users were recreational fishers targeting tuna spp. Our camera system closely matched trends in temporal variation from the larger scale regional survey, but as the camera data were at much higher frequency, we could additionally describe strong, daily variability in effort. Peaks were normally associated with weekends, but consecutive weekend tuna fishing competitions led to an anomaly of high effort across the normal weekday lulls. By reducing field time and batch processing imagery, Monthly labor costs for the camera sampling were a quarter of the bus‐route survey; and individual camera samples cost 2.5% of bus route samples to obtain. Gigapixel panoramic camera observations of fishing were representative of the temporal variability of regional fishing effort and could be used to develop a cost‐efficient index. High‐frequency sampling had the added benefit of being more likely to detect abnormal patterns of use. Combinations of remote sensing and on‐site interviews may provide a solution to describing highly variable effort in recreational fisheries while also validating activity and catch.
Data from: Avoiding tipping points in fisheries management through Gaussian process dynamic programming
Model uncertainty and limited data are fundamental challenges to robust management of human intervention in a natural system. These challenges are acutely highlighted by concerns that many ecological systems may contain tipping points, such as Allee population sizes. Before a collapse, we do not know where the tipping points lie, if they exist at all. Hence, we know neither a complete model of the system dynamics nor do we have access to data in some large region of state space where such a tipping point might exist. We illustrate how a Bayesian non-parametric approach using a Gaussian process (GP) prior provides a flexible representation of this inherent uncertainty. We embed GPs in a stochastic dynamic programming framework in order to make robust management predictions with both model uncertainty and limited data. We use simulations to evaluate this approach as compared with the standard approach of using model selection to choose from a set of candidate models. We find that model selection erroneously favours models without tipping points, leading to harvest policies that guarantee extinction. The Gaussian process dynamic programming (GPDP) performs nearly as well as the true model and significantly outperforms standard approaches. We illustrate this using examples of simulated single-species dynamics, where the standard model selection approach should be most effective and find that it still fails to account for uncertainty appropriately and leads to population crashes, while management based on the GPDP does not, as it does not underestimate the uncertainty outside of the observed data.
Data from: Empirical evidence for species-specific export of fish naïveté from a no-take marine protected area in a coastal recreational hook and line fishery
No-take marine protected areas (MPAs) are assumed to enhance fisheries catch via the "spillover" effect, where biomass is exported to adjacent exploited areas. Recent studies in spearfishing fisheries suggest that the spillover of gear-naïve individuals from protected to unprotected sites increases catch rates outside the boundaries of MPAs. Whether this is a widespread phenomenon that also holds for other gear types and species is unknown. In this study, we tested if the distance to a Mediterranean MPA predicted the degree of vulnerability to hook and line in four small-bodied coastal fish species. With the assistance of underwater video recording, we investigated the interaction effect of the distance to the boundary of an MPA and species type relative to the latency time to ingest a natural bait, which was considered as a surrogate of fish naïveté or vulnerability to fishing. Vulnerability to angling increased (i.e., latency time decreased) within and near the boundary of an MPA for an intrinsically highly catchable species (Serranus scriba), while it remained constant for an intrinsically uncatchable control species (Chromis chromis). While all of the individuals of S. scriba observed within the MPA and surrounding areas were in essence captured by angling gear, only one fifth of individuals in the far locations were captured. This supports the potential for the spillover of gear-naïve and consequently more vulnerable fish from no-take MPAs. Two other species initially characterized as intermediately catchable (Coris julis and Diplodus annularis) also had a shorter latency time in the vicinity of an MPA, but for these two cases the trend was not statistically significant. Overall, our results suggest that an MPA-induced naïveté effect may not be universal and may be confined to only intrinsically highly catchable fish species. This fact emphasizes the importance of considering the behavioural dimension when predicting the outcomes of MPAs, otherwise the effective contribution may be smaller than predicted for certain highly catchable species such as S. scriba.
Data from: Large benefits to marine fisheries of meeting the 1.5°C global warming target
Translating the Paris Agreement to limit global warming to 1.5°C above preindustrial level into impact-related targets facilitates communication of the benefits of mitigating climate change to policy-makers and stakeholders. Developing ecologically relevant impact-related targets for marine ecosystem services, such as fisheries, is an important step. Here, we use maximum catch potential and species turnover as climate-risk indicators for fisheries. We project that potential catches will decrease by more than 3 million metric tons per degree Celsius of warming. Species turnover is more than halved when warming is lowered from 3.5° to 1.5°C above the preindustrial level. Regionally, changes in maximum catch potential and species turnover vary across ecosystems, with the biggest risk reduction in the Indo-Pacific and Arctic regions when the Paris Agreement target is achieved.
Dataset for: Key research priorities for the future of fish and fisheries in Australia
<p>In Australia, the health of our marine, estuarine and freshwater fishes are of critical importance. Each species has a role in our country’s ecological, economic, cultural and social wealth. Climate change, resource overexploitation, invasive animals and diseases, and habitat degradation are just a few of the burgeoning threats that researchers and managers must address. In addition, differences in legislative frameworks among jurisdictions hinder our ability to coherently manage fish resources scales that are relevant biologically, ecologically and socially. Here we investigate the key research priorities for fish and fisheries research in Australia, across seven thematic fields of study. The priorities identified will enable researchers and policy makers to identify critical knowledge gaps, develop collaborative research programs, investigate novel approaches, and to improve transparency around decision-making processes.In Australia, the health of our marine, estuarine and freshwater fishes are of critical importance. Each species has a role in our country’s ecological, economic, cultural and social wealth. Climate change, resource overexploitation, invasive animals and diseases, and habitat degradation are just a few of the burgeoning threats that researchers and managers must address. In addition, differences in legislative frameworks among jurisdictions hinder our ability to coherently manage fish resources scales that are relevant biologically, ecologically and socially. Here we investigate the key research priorities for fish and fisheries research in Australia, across seven thematic fields of study. The priorities identified will enable researchers and policy makers to identify critical knowledge gaps, develop collaborative research programs, investigate novel approaches, and to improve transparency around decision-making processes.</p>
Fig 4 in Gillnet fisheries around Polaku and Koroama communities in the lower Taylor creek, Bayelsa state, Nigeria
Fig 4: Weekly income Generated from Gillnet Fisheries in the Study Location
Figure 2 in French research on fisheries in the Northwest Atlantic, from its origins to the present
Figure 2. – Map of the fishing grounds around Newfoundland and Nova Scotia.
Figure 1 in French research on fisheries in the Northwest Atlantic, from its origins to the present
Figure 1. – Map showing the ICNAF/NAFO divisions.
Figure 11 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 11 PCA of species abundance associated to precipitation and wind speed.
Figure 10 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 10 Frequency and direction of winds in each sampled month on the coast of Alagoas.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.