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79 results for “fisheries management”
Supporting fisheries management with genomic tools: a case study of kingklip (Genypterus capensis) off southern Africa
<p>Kingklip, <i>Genypterus capensis</i>, is a valuable fish resource in southern African waters, with a wide geographic distribution spanning South Africa and Namibia. Previous studies have provided evidence for multiple stocks in South Africa, but the extent of stock structuring across the Southern African region remains unclear. In this study, we genotyped over 40 000 SNPs to characterise the spatial distribution of genomic variation for <i>G. capensis </i>throughout its core distribution. Results suggest that fish sampled at the northernmost range (off central Namibia) are characterised by lower genomic diversity, although the region exhibited the highest number of private SNPs, suggesting some degree of geographic isolation. Using neutral and putative outlier loci independently, we show that kingklip exhibits three population clusters, "northern Benguela", "southern Benguela" and South African "South Coast". Population differentiation was observed only using "outlier" loci, suggesting that local adaptation might be one of the main drivers of the observed differentiation. Overall, our research provides novel insights into the regional dynamics that can support the sustainable long-term exploitation of this valuable fisheries resource.</p>
Managing for Diversity: keeping everyone afloat in Irish fisheries (animation, 6:47, 2020)
<p><em>Managing for Diversity: keeping everyone afloat in Irish fisheries (6:47, 2020)</em> is a short animation about the diversity of Ireland's fishing industry, with a focus on the offshore islands small-scale fleet. Almost three thousand islanders live on eighteen islands off the west coast of Ireland. These islands are not connected to the mainland by a land causeway. While many of these islands are dependent on a small-scale fishing industry for survival, their fishing communities face challenges in navigating complex fisheries governance systems at local, regional, national and EU scales. This animation is intended to provide a snapshot of the complexity of the issues at play and the difficulties for small-scale boats in accessing the fish that are a public resource. Written and based on research by Dr Ruth Brennan; Design and animation by Michael (Mysh) Rozanov; Sound design and music by Brían Mac Gloinn. The CO-SUSTAIN project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 789524.</p>
Data from: Functional genetic diversity in an exploited marine species and its relevance to fisheries management
<p>The timing of reproduction influences key evolutionary and ecological processes in wild populations. Variation in reproductive timing may be an especially important evolutionary driver in the marine environment, where the high mobility of many species and few physical barriers to migration provide limited opportunities for spatial divergence to arise, and where many species synchronize their reproduction to seasonal cycles of planktonic productivity. Using genomic data collected from spawning aggregations of Pacific herring (<i>Clupea pallasii</i>) across 1,600 km of coastline, we show that reproductive timing drives population structure in these pelagic fish. Within a specific spawning season we observed isolation by distance, indicating that gene flow is limited over our study area. These results emphasize the importance of considering both seasonal and spatial variation in reproductive timing when delineating management units for Pacific herring. On several chromosomes we detected linkage disequilibrium extending over millions of base pairs, suggesting the presence of chromosomal rearrangements. The frequencies of putative chromosomal rearrangements differed between populations spawning at different times of year. Spawning phenology was highly correlated with polymorphisms in several genes, in particular <i>SYNE2</i>, which influences the development of retinal photoreceptors in vertebrates. <i>SYNE2 </i>is likely within a chromosomal rearrangement in Pacific herring and is also associated with spawn timing in Atlantic herring (<i>Clupea harengus</i>). The observed genetic diversity likely underlies resource waves provided by spawning herring and demonstrates how population-level genetic diversity can influence ecosystem processes. Given the ecological, economic, and cultural significance of herring, our results support that conserving intraspecific genetic diversity is important for maintaining current and future ecosystem processes.</p>
Data from: Can multi-species shark longline fisheries be managed sustainably using size limits? Theoretically, yes. Realistically, No.
<p>This is the raw data used in :</p> <p>Smart J, White W, Baje L<span>,</span> Chin A, D'Alberto B, Grant M, Mukherji S and Simpfendorfer C (2020) Can multi-species shark longline fisheries be managed sustainably using size limits? Theoretically, yes. Realistically, No. Journal of Applied Ecology</p> <p>Included are two R scripts which create data inputs and then perform the articles analsysis.</p>
Figure 2 from: Carvalho-Batista A, Negri M, Pileggi LG, Castilho AL, Costa RC, Mantelatto FL (2014) Inferring population connectivity across the range of distribution of the stiletto shrimp Artemesia longinaris Spence Bate, 1888 (Decapoda, Penaeidae) from DNA barcoding: implications for fishery management. In: Wehrtmann IS, Bauer RT (Eds) Proceedings of the Summer Meeting of the Crustacean Society and the Latin American Association of Carcinology, Costa Rica, July 2013. ZooKeys 457: 271-288. https://doi.org/10.3897/zookeys.457.6569
Figure 2 - Dendrogram based on Neighbor-Joining distance method of COI gene sequences of individuals of Artemesia longinaris. Localities represent the analyzed specimens. Numbers are bootstrap support values (1000 replicates); values below 50% are not shown.
Figure 4 from: Carvalho-Batista A, Negri M, Pileggi LG, Castilho AL, Costa RC, Mantelatto FL (2014) Inferring population connectivity across the range of distribution of the stiletto shrimp Artemesia longinaris Spence Bate, 1888 (Decapoda, Penaeidae) from DNA barcoding: implications for fishery management. In: Wehrtmann IS, Bauer RT (Eds) Proceedings of the Summer Meeting of the Crustacean Society and the Latin American Association of Carcinology, Costa Rica, July 2013. ZooKeys 457: 271-288. https://doi.org/10.3897/zookeys.457.6569
Figure 4 - Haplotype network of Artemesia longinarisaccording to Median-Joining analysis. Each circle represent one haplotype found in the localities (53 haplotypes in 60 specimens). The size of the circle of each haplotype is proportional to its frequency in the sample. Each small dash represents a mutational step.
Figure 1 from: Carvalho-Batista A, Negri M, Pileggi LG, Castilho AL, Costa RC, Mantelatto FL (2014) Inferring population connectivity across the range of distribution of the stiletto shrimp Artemesia longinaris Spence Bate, 1888 (Decapoda, Penaeidae) from DNA barcoding: implications for fishery management. In: Wehrtmann IS, Bauer RT (Eds) Proceedings of the Summer Meeting of the Crustacean Society and the Latin American Association of Carcinology, Costa Rica, July 2013. ZooKeys 457: 271-288. https://doi.org/10.3897/zookeys.457.6569
Figure 1 - Southwest Atlantic collection sites. Map showing the localities of the specimens of Artemesia longinaris analyzed: 1 Macaé, Brazil 2 Ubatuba, Brazil 3 Santos, Brazil 4 Cananéia, Brazil 5 São Francisco do Sul, Brazil 6 Rio Grande, Brazil 7 Mar del Plata, Argentina. The gray band indicates the complete geographical distribution of Artemesia longinaris.
Figure 3 from: Carvalho-Batista A, Negri M, Pileggi LG, Castilho AL, Costa RC, Mantelatto FL (2014) Inferring population connectivity across the range of distribution of the stiletto shrimp Artemesia longinaris Spence Bate, 1888 (Decapoda, Penaeidae) from DNA barcoding: implications for fishery management. In: Wehrtmann IS, Bauer RT (Eds) Proceedings of the Summer Meeting of the Crustacean Society and the Latin American Association of Carcinology, Costa Rica, July 2013. ZooKeys 457: 271-288. https://doi.org/10.3897/zookeys.457.6569
Figure 3 - Phylogram for individuals of Artemesia longinaris inferred from Maximum Likelihood analysis of COI gene sequences. Localities represent analyzed specimens. Numbers are bootstrap support values (1000 replicates); values below 50% are not shown.
Seasonal ocean forecasts to improve predictions of Dungeness crab catch rates, co-developed with state and tribal fishery managers
<p>Historical (hindcast) and September initialized forecast fields from the J-SCOPE system (more information here: https://www.nanoos.org/products/j-scope/). The historical fields are annual averages while the forecasts are averaged monthly. The fields here were used to generate the CPUE models described in Norton et al. (2023). </p> <p>Abstract from the paper: The commercial Dungeness crab (Metacarcinus magister) fishery in Oregon and Washington (USA) is one of the most valuable fisheries in the region, but it experiences high interannual variability. These fluctuations have been attributed to environmental drivers on seasonal and annual timescales. In this study, researchers and state and tribal fisheries managers develop a statistical model for Dungeness crab catch per unit effort (CPUE) to help inform dynamic management decisions in Oregon and Washington. Fishing observations were matched to seasonally forecast and lagged ocean conditions from J-SCOPE, a regional forecast system (http://www.nanoos.org/products/j-scope/). Inclusion of dynamic and lagged ocean conditions improved model skill compared to simpler models, and the best model captured intraseasonal trends and interannual variability in catch rates, and spatial catch patterns. We also found that model skill relied on fishing behaviour, which varies interannually, highlighting the need for advanced fishing behaviour modelling to reduce uncertainty. The relationships between catch rates and ocean conditions may help elucidate environmental influences of catch variability. Forecast products were co-designed with managers to meet their needs for key decision points. Our results illustrate a seasonal forecasting approach for management of other highly productive, but also dynamic, invertebrates that increasingly contribute to global fisheries yield.</p>
Identification and characterization of Western Province reef fisheries; Developing management and conservation protocols using traditional ecological knowledge, underwater monitoring and catch assessments
<p>Solomon Islands has highly biodiverse coral reef ecosystems critically important to cultural identity and socio-economic security. Because Solomon Islanders maintain among the highest global fish consumption rates largely from inshore fisheries valued at USD$65 million yr<sup>-1</sup>, maintaining these resources is critical to livelihoods and health. Among these resources are coral reef fish that form (fish) spawning aggregations (FSA). For these species, FSAs are the primary means of population replenishment and form the basis of a trophic web ranging from detritivores to marine megafauna. FSAs are highly vulnerable to overfishing and in Solomon Islands have experienced increasing fishing pressure from a changing economy and a domestic export fishery. Recent estimates show Western Province exporting at least 6 mt mo<sup>-1</sup> to Honiara markets, with an unknown but substantial quantity of this supply derived from FSAs. In Solomon Islands, marine tenure remains a core element of coral reef management, but its effectiveness relies on community awareness and participation in monitoring. The project seeks to improve site-based and national scale enabling conditions for FSA management through: (1) evaluating FSA sites known to be experiencing fishing; (2) providing awareness presentations to traditional reef owners; (3) training local communities and dive operator staff in developing appropriate monitoring protocols; (3) implementing these protocols at known FSA sites; (4) co-developing EAFM plans with traditional reef owners and dive operators; (5) providing information sharing from successful regional LMMAs; (6) working to improve enforcement of existing FSA regulations and local and provincial scales; and (7) building consensus to adapt existing regulations to improve management effectiveness.</p>
Supporting fisheries management with genomic tools: a case study of kingklip (Genypterus capensis) off southern Africa
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Data from: Functional genetic diversity in an exploited marine species and its relevance to fisheries management
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Identification and characterization of Western Province reef fisheries; Developing management and conservation protocols using traditional ecological knowledge, underwater monitoring and catch assessments
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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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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: 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.
Modelled spatiotemporally explicit fish densities at different fisheries management scenarios
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Data from: Avoiding tipping points in fisheries management through Gaussian process dynamic programming
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Importance of pelagic Sargassum to fisheries management in the Northern Gulf of Mexico
Measurements made under the Linking habitat to recruitment: evaluating the importance of pelagic Sargassum to fisheries management in the Gulf of Mexico, in the Northern Gulf of Mexico. Collaboration with USF and USM.
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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