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603 results for “fisheries”
Marine reserve targets to sustain and rebuild unregulated fisheries
<p>This upload contains data analysed in Krueck NC, Ahmadia GN, Possingham HP, Riginos C, Treml EA, Mumby PJ (2017) Marine reserve targets to sustain and rebuild unregulated fisheries. PLoS Biology 15(1): e2000537.</p> <p> </p> <p>The zip folder "Generic" contains data used to analyse reserve impacts on fisheries as described for generic scenarios in the Materials and Methods section and as presented in Fig. 1 and Fig. 2. Results are stored in subfolders that specify modelling assumptions as defined in S3 Table. File names specify the assumed fishing pressure as defined in S3 Table. Each file contains a three-dimensional data matrix in MATLAB format (“dat.mat”), giving in the first dimension (rows #1-4) fishery catch relative to the maximum sustainable yield (row #1), total fish biomass relative to the maximum possible total fish biomass (row #2), fish biomass in reserves relative to the maximum possible fish biomass in reserves (row #3), and fish biomass in fished areas relative to the maximum possible fish biomass in fished areas (row #4). The second dimension (columns #1-101) gives results for increasing levels of reserve coverage (increments of 1%), ranging from no protection (column #1: open fishing ground, 0% reserve coverage) to full protection (column #101: 100% reserve coverage). The third dimension (#1-175) separates results for all simulated, taxon-specific rates of natural adult mortality and growth. More detailed information on mortality rates and growth coefficients of each simulated taxon (including species id, name, family, location of data collection, estimate of natural mortality rate, and estimate of growth coefficient) are available from the Excel spreadsheet "speciesInformation_Pauly1980_icesjms39.2.175.xlsx".</p> <p> </p> <p>The zip folder "Keppels" contains all data used to analyse reserve impacts on fisheries as described in the Materials and Methods section for the Keppel islands scenarios and as presented in Fig. 1 and Fig. 2 (K scenarios). The data are stored in subfolders that specify modelling assumptions as defined in S3 Table. File names specify the assumed fishing pressure as defined in S3 Table. Data matrices were saved in MATLAB format (“dat.mat”), specifying fishery catch relative to the maximum sustainable yield. Columns #1-101 give results for increasing levels of reserve coverage (increments of 1%), ranging from no protection (column #1: open fishing ground) to full protection (column #101: 100% reserve coverage).</p>
Metabolic impacts of climate change on marine fish communities and fisheries - Dataset and figure plot script
<p>Here we provide the MATLAB functions, model forcing data (net primary production and temperature), and model output required to generate the figures and perform calculations from the manuscript "Metabolic impacts of climate change on marine fish communities and fisheries", which is currently in submission as a research article. The figures plot script (plot_figures_climate_fish_deconstruction.m) is written in MATLAB version R2012a.</p>
Data and code for: Does increasing temperature accentuate disease impacts on fisheries species? A meta-analysis
<p>Rapid warming could drastically alter host-parasite relationships, which is especially important for fisheries crucial to human nutrition and economic livelihoods; yet we lack a synthetic understanding of how warming influences parasite-induced mortality in these systems. We conducted a meta-analysis using 301 effect sizes from 60 empirical papers on harvested aquatic species and determined the relationship between parasite-induced host mortality and temperature and how this relationship was altered by host, parasite and study design traits. Overall, temperature increased parasite-induced host mortality; however, the magnitude and sometimes direction of this relationship varied. Hosts from the order Salmoniformes experienced a greater increase in parasite-induced mortality with temperature than average. Opportunistic parasites were correlated with a greater increase in host mortality with temperature than average, while bacterial parasite-induced mortality was lower than average as temperature increased. Thus, parasites will generally increase host mortality as the environment warms; however, this effect will vary among systems.</p>
Figure 5 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 5. – Mean gonado-somatic index (GSI, %) of Mullus surmuletus with size (LT, cm) by sex.
Data on the occurrence of Anisakids in fishery products from aquaculture in European countries (Jan 2010 – Sept 2023)
<p><span>This file contains data on Anisakids in fishery products from aquaculture in European countries covering studies published between January 2010 and September 2023. </span><span>The systematic review protocol used to identify and extract the information is available<strong> at <a href="../records/10270810">https://zenodo.org/records/10270810</a>.</strong></span></p>
Data on the occurrence on anisakids and other parasites in fishery products from wild and farmed fish in all countries (Jan 2010 – Sept 2023)
<p><span>This file contains data on anisakids and other parasites in fishery products from wild and farmed fish in all countries, covering studies published between January 2010 and September 2023. The systematic review protocol used to identify and extract the information is available at <a href="https://zenodo.org/records/10270810"> https://zenodo.org/records/10270810</a>. For data on anisakids for the period 2010-2020, this file is complementary to the zenodo file https://zenodo.org/records/14047972, and includes publications that were not selected in published meta-analyses. </span></p>
Systemic Failure of European Fisheries Management
<p>Supporting data, R scripts, and resulting figures for Froese et al. (submitted): Systemic Failure of European Fisheries Management</p> <p> </p> <p>Authors: Rainer Froese 1*, Noa Steiner 2, Eva Papaioannou 1, Liam MacNeil 1, Thorsten Reusch 1, Marco Scotti 1,3 </p> <p>Affiliations: </p> <p>1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany </p> <p>2 Institute of Agricultural Economics, University of Kiel, Olshausenstraße 40, 24118 Kiel, Germany</p> <p>3 Institute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Firenze), Italy</p> <p>*Corresponding author. Email: rfroese@geomar.de </p>
Whole genome resequencing reveals signatures of rapid selection in a virus affected commercial fishery
<p>Infectious diseases are recognised as one of the greatest global threats to biodiversity and ecosystem functioning. Consequently, there is a growing urgency to understand the speed at which adaptive phenotypes can evolve and spread in natural populations to inform future management. Here we provide evidence of rapid genomic changes in wild Australian blacklip abalone (<em>Haliotis rubra</em>) following a major population crash associated with an infectious disease. Genome scans on <em>H. rubra</em> were performed using pooled whole genome re-sequencing data from commercial fishing stocks varying in historical exposure to haliotid herpesvirus-1 (HaHV-1). Approximately 25,000 SNP loci associated with virus exposure were identified, many of which mapped to genes known to contribute to HaHV-1 immunity in the New Zealand pāua (<em>H. iris</em>) and herpesvirus response pathways in haliotids and other animal systems. These findings indicate genetic changes across a single generation in <em>H. rubra </em>fishing stocks decimated by HaHV-1, with stock recovery potentially determined by rapid evolutionary changes leading to virus resistance. This is a novel example of rapid adaptation in natural populations of a non-model marine organism, highlighting the pace at which selection can potentially act to counter disease in wildlife communities.</p>
Data for: Size spectrum model reveals importance of considering species interactions in a freshwater fisheries management context
<p>Inland fisheries have significant cultural and economic value around the globe, providing dietary protein, income, and recreation. Consequently, methods for monitoring and managing these important fisheries are continually being refined. In marine systems, multi-species size spectrum models have been increasingly used to explore management scenarios of important fish stocks within an ecosystem-based fisheries management framework; however, these models have not been applied in freshwater systems. In this study, we developed a multi-species size spectrum model for the fish community of Lake Nipissing, a large, productive lake in Ontario, Canada. To the best of our knowledge, this is the first fully calibrated multi-species size spectrum model for an inland fishery. Using this model, we explored the impacts of different management scenarios on fish community dynamics while taking species interactions into account. Specifically, we examined how changes in fishing mortality affect: (1) species biomass; (2) community size structure; and (3) stock recovery times. We found that community dynamics following changes in fishing mortality were driven by complex interactions among species, including competition and predation. The greatest changes in biomass and community size structure were observed following changes in fishing mortality to top predators, with community size structure most strongly influenced by changes in mortality to the largest species in the community. Counter to predictions based on generation time, the smallest species in our model exhibited the longest time to recovery due to strong competition and predation. Our results demonstrate the importance of taking an ecosystem-based approach and considering species interactions in the management of inland fisheries and highlight the potential of size spectrum model use in freshwater systems.</p>
Fisheries bycatch mitigation measures as an efficient tool for the conservation of seabird populations
<p class="MsoNormal"><span>The impact of industrial fisheries on marine biodiversity is conspicuous in large pelagic vertebrate fisheries bycatch. In seabirds, this led to the decline of many populations since the 1980s following the rise of global fishing efforts. Bycatch mitigation measures were implemented in the 2000s, but their effects on the concerned seabird populations remain poorly quantified and understood.</span></p> <p class="MsoNormal"><span>We studied the effects of bycatch mitigation measures on the demography of the white-chinned petrel, one of the most bycatch impacted seabirds whose populations suffered dramatic declines before the implementation of mitigation measures. To do so we 1) built multi-event capture-recapture models to estimate the demographic parameters of a population from Possession Island (southern Indian Ocean) over thirty years, 2) assessed the effect of climate and fishery covariates on demographic parameters, 3) built a population matrix model to estimate stochastic growth rate according to the management in fisheries bycatch, and 4) estimated changes in breeding population density using distance sampling data.</span></p> <p class="MsoNormal"><span>The population declined from the 1980s to the mid-2000s, while trawl and longline fisheries occurred with no bycatch mitigation measures. The negative effects of fishery bycatch through additive mortality and of rat predation on breeding success were likely the main drivers of this decline.</span></p> <p class="MsoNormal"><span>Both modeled population growth rate and observed breeding densities showed an increase since the mid-2000s. We explained this trend by the improvement in survival probability following implementation of fishery bycatch mitigation measures and in breeding success probability with the local control of the rat population and changes in sea ice conditions on foraging grounds.</span></p> <p class="MsoNormal"><span>Synthesis and applications: We provide a holistic approach to assess the effects of management measures by analysing datasets from sampling methods commonly employed in seabirds studies. Our conclusions should encourage the eradication of invasive predatory species in seabirds breeding areas and the strengthening of bycatch mitigation measures for the vulnerable seabird species, especially in international waters, but also the development of such measures considering the other marine large pelagic species threatened by fisheries bycatch (sharks, rays, turtles and marine mammals) since it could be crucial to avoid populations' extinction.</span></p>
Genetic monitoring on the world's first MSC eco-labeled common octopus (O. vulgaris) fishery in western Asturias, Spain
<p><strong>Allele frequencies file containing:</strong></p> <ul> <li>15 populations</li> <li>13 microsatellite markers</li> </ul> <p><em><strong>Populations:</strong></em></p> <ul> <li>21PS: Pasaia (Basque country, Spain). Fishery season (FS): 2020-21</li> <li>18RB: Ribadesella (Asturias, Spain). FS: 2017-18</li> <li>21RB: Ribadesella (Asturias, Spain). FS: 2020-21</li> <li>18CU: Cudillero (Asturias, Spain). FS: 2017-18</li> <li>21CU: Cudillero (Asturias, Spain). FS: 2020-21</li> <li>07PV: Puerto de Vega (Asturias, Spain). FS: 2006-07</li> <li>18PV: Puerto de Vega (Asturias, Spain). FS: 2017-18</li> <li>21PV: Puerto de Vega (Asturias, Spain). FS: 2020-21</li> <li>18TP: Tapia de Casariego (Asturias, Spain). FS: 2017-18</li> <li>21TP: Tapia de Casariego (Asturias, Spain). FS: 2020-21</li> <li>21BU: Bueu (Galicia, Spain). FS: 2020-21</li> <li>07OL: Olhão (Algarve, Portugal). FS: 2006-07</li> <li>21OL: Olhão (Algarve, Portugal). FS: 2020-21</li> <li>21SA: San Andrés (Canary Islands, Spain). FS: 2020-21</li> <li>21BC: Barcelona (Catalonia, Spain). FS: 2020-21</li> </ul> <p><em><strong>Microsatellite markers (GenBank accession number):</strong></em></p> <p>OCT08 (AF197132); VULG15 (LC003035); VULG14 (LC003034); VULG07 (LC003028); OVUL10 (JN579699); VULG12 (LC003032); VULG13 (LC003033); VULG06 (LC003027); OVUL09 (JN579698); VULG04 (LC003026); OVUL08 (JN579697); OV10 (AF197134); VULG10 (LC003030).</p>
Commercial Harvest of Klawock Lake Sockeye Salmon in the District 103 and 104 Purse Seine Fisheries, Southeast Alaska, 2018–2021
<p>The Klawock Lake sockeye salmon (<em>Oncorhynchus nerka</em>) run supports one of the most heavily used subsistence fisheries in Southeast Alaska and is the primary sockeye salmon subsistence resource for the communities of Klawock and Craig. During the period 2011–2017, the average spawning population declined by 63% and the average reported subsistence harvest declined by 50% compared to the previous decade. A major source of uncertainty regarding the decline in Klawock Lake sockeye salmon abundance is the lack of information regarding harvest in commercial fisheries. This project will provided estimates of the harvest and run timing of Klawock Lake sockeye in nearby commercial purse seine fisheries for four years (2018–2021) through genetic mixed stock analysis of sampled harvests. The commercial fisheries in management Districts 103 and 104 were targeted because they are terminal to Klawock Lake and most of the commercial harvest of Klawock Lake sockeye salmon likely occurs in those districts. We further split District 103 into two spatial strata: Northern District 103 (subdistricts 50-90) and Southern District 103 (subdistricts 11-40). The commercial harvest of Klawock Lake sockeye salmon was highest in Northern District 103 in three of four years (2018–2020), and highest in District 104 in one year (2021). Klawock Lake sockeye were virtually absent in the commercial harvest in Southern District 103 in all four years (2018-2021). The total commercial harvest (Districts 103 and 104) of Klawock Lake sockeye salmon was 2,619 fish in 2018, 5,523 fish in 2019, 3,352 fish in 2020, and 6,677 fish in 2021. These data, combined with escapement and subsistence harvests, were used to produce the first estimates of total run size for Klawock Lake sockeye salmon. The total run size varied from year to year, with 13,147 fish in 2018, 14,953 fish in 2019, 19,702 fish in 2020, and 13,600 fish in 2021. Similarly, overall harvest rates varied from 43.9% in 2018 to 59.9% in 2021 (average = 50.9%). Commercial harvest rates averaged lower than the historical averages from nearby sockeye salmon stocks at Hugh Smith and McDonald Lakes. Commercial harvest rates were higher in odd-years than even-years, presumably due to increased fishing pressure on more abundant odd-year pink salmon. The subsistence harvest rates averaged higher (20.1%) than the subsistence harvest rates on McDonald and Hugh Smith Lakes (average < 2%).</p>
Characterization factors for fisheries
<p>Supporting information of </p> <p>Hélias A, Langlois J, Fréon P. Fisheries in life cycle assessment: Operational factors for biotic resources depletion. Fish Fish. 2018. https://doi.org/10.1111/faf.12299.</p> <p>Use by default the Characterisation Factors given in sheet "Stocks CF (by FAO Area)", except if the localisation of the fisheries is unknown (use the sheet "world aggregated CF") and/or the species is not exactly identified (use the sheet "World & ISSCAAP aggregated CF")</p> <p>Version:1 (november 2017)<br> <br> <br> <br> <br> <br> Contact:arnaud.helias@supagro.fr<br> <br> <br> <br> <br> </p>
Data from: Ocean warming undermines the recovery resilience of New England kelp forests following a fishery-induced trophic cascade
<p>Ecological theory predicts that kelp forests structured by trophic cascades should experience a recovery and persistence of their foundation species when herbivores become rare. Yet, climate change may be altering the outcomes of top-down forcing in kelp forests, especially those located in regions that have rapidly warmed in recent decades, such as the Gulf of Maine. Here, using data collected annually from 30+ sites spanning >350 km of coastline, we explored the dynamics of Maine's kelp forests in the ~20 years after a fishery-induced elimination of sea urchin herbivores. Although forests (dominated by <em>Saccharina latissima</em> and <em>Laminaria digitata</em>) had broadly returned to Maine in the late 20th century, we found that forests in northeast Maine have since experienced slow but significant declines in kelp, and forest persistence in the northeast was juxtaposed by a rapid, widespread collapse in the southwest. Forests collapsed in the southwest apparently because ocean warming has – directly and indirectly – made this area inhospitable to kelp. Indeed, when modeling drivers of change using causal techniques from econometrics, we discovered that unusually high summer water temperatures the year prior, unusually high spring water temperatures, and high sea urchin densities each negatively impacted kelp abundance. Furthermore, the relative power and absolute impact of these drivers varied geographically. Our findings reveal that ocean warming is redefining the outcomes of top-down forcing in this system, whereby herbivore removal no longer predictably leads to a sustained dominance of kelp – the ecosystem's foundation – but instead has led to a waning dominance (northeast) or the rise of a novel phase state defined by "turf" algae (southwest). Such findings indicate that limiting climate change and managing for low herbivore abundances will be essential for preventing further loss of the vast forests that still exist in northeastern Maine. They also more broadly highlight that climate change is "rewriting the rules" of nature, and thus that ecological theory and practice must be revised to account for shifting species and processes.</p>
Map 1 in Fisheries at the heart of a development issue in Mauritania: Small coastal pelagics between market logic and nutritional rationality
Map 1: Geographical areas of small pelagics fishing and landings
Fig 3 in Fisheries at the heart of a development issue in Mauritania: Small coastal pelagics between market logic and nutritional rationality
Fig 3: Contribution of small coastal pelagics to public finances
Fig 2 in Fisheries at the heart of a development issue in Mauritania: Small coastal pelagics between market logic and nutritional rationality
Fig 2: Evolution of the quantities of fish distributed by the SNDP
Fig 1 in Fisheries at the heart of a development issue in Mauritania: Small coastal pelagics between market logic and nutritional rationality
Fig 1: Evolution of fishmeal and fish oil production in Mauritania
Fig 3 in Gillnet fisheries around Polaku and Koroama communities in the lower Taylor creek, Bayelsa state, Nigeria
Fig 3: Hours Spent by Gillnet Fishers in Arriving at their Daily Catch Quotas
Fig 1 in Gillnet fisheries around Polaku and Koroama communities in the lower Taylor creek, Bayelsa state, Nigeria
Fig 1: Map of Niger delta showing Bayelsa and lower Taylor creek, the study area
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