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24 results for “fish trawl”
Sacramento trawl, Delta Juvenile Fish Monitoring Program, Genetic Determination of Population of Origin 2017-2021
Central Valley Chinook Salmon populations differ in their Endangered Species Act listing status. It is often difficult to distinguish individuals from the different Evolutionarily Significant Units. As such, many of the salmon monitoring and evaluation efforts in the Central Valley and San Francisco Bay-Delta are hampered by uncertainty about population (stock) identification and proportional effects of management actions (Dekar et al. 2013; IEP 2019). Studies have identified that the current identification method (length-at-date models) of juvenile Chinook salmon (Fisher 1992) captured in the watershed vary in their accuracy, particularly for spring-run (NMFS 2013; Harvey et al. 2014; Merz et al. 2014). The inaccuracy of the size-based methods is likely due to differences in fish distribution during early rearing, habitat-specific growth rates, and inter-annual variability in temperatures and food availability that lead to overlap in size ranges among stocks. The primary objective of this project was the genetic classification (to race; Evolutionary Significant Unit) of Chinook Salmon captured from State Water Project and Central Valley Project fish protection facilities and Interagency Ecological Program monitoring programs. The population-of-origin was determined for sampled fish by comparing their genotypes to reference genetic baselines. Genetic methods, having less statistical uncertainty that size-based models for population identification, were intended to directly target (and reduce) one source of uncertainty in the estimation of loss (take) from water diversions (operations) and develop the information necessary for understanding stock-specific distribution, habitat utilization, abundance, and life history variation. This project supports recommendations from the Interagency Ecological Program’s Salmon and Sturgeon Assessment of Indicators by Life Stage and Interagency Ecological Program Science Agenda efforts to improve Central Valley salmonid monitoring
Chipps Island trawl, Delta Juvenile Fish Monitoring Program, Genetic Determination of Population of Origin 2017-2021
Central Valley Chinook Salmon populations differ in their Endangered Species Act listing status. It is often difficult to distinguish individuals from the different Evolutionarily Significant Units. As such, many of the salmon monitoring and evaluation efforts in the Central Valley and San Francisco Bay-Delta are hampered by uncertainty about population (stock) identification and proportional effects of management actions (Dekar et al. 2013; IEP 2019). Studies have identified that the current identification method (length-at-date models) of juvenile Chinook salmon (Fisher 1992) captured in the watershed vary in their accuracy, particularly for spring-run (NMFS 2013; Harvey et al. 2014; Merz et al. 2014). The inaccuracy of the size-based methods is likely due to differences in fish distribution during early rearing, habitat-specific growth rates, and inter-annual variability in temperatures and food availability that lead to overlap in size ranges among stocks. The primary objective of this project was the genetic classification (to race; Evolutionary Significant Unit) of Chinook Salmon captured from State Water Project and Central Valley Project fish protection facilities and Interagency Ecological Program monitoring programs. The population-of-origin was determined for sampled fish by comparing their genotypes to reference genetic baselines. Genetic methods, having less statistical uncertainty that size-based models for population identification, were intended to directly target (and reduce) one source of uncertainty in the estimation of loss (take) from water diversions (operations) and develop the information necessary for understanding stock-specific distribution, habitat utilization, abundance, and life history variation. This project supports recommendations from the Interagency Ecological Program’s Salmon and Sturgeon Assessment of Indicators by Life Stage and Interagency Ecological Program Science Agenda efforts to improve Central Valley salmonid monitoring
Interagency Ecological Program: Fish catch and associated water quality for the Fall Midwater Trawl Survey, Sacramento-San Joaquin Delta, 1967-2024
The Interagency Ecological Program’s (IEP) Fall Midwater Trawl Survey (FMWT) is a long-term monitoring survey conducted by the California Department of Fish and Wildlife (CDFW) and has sampled annually since its inception in 1967, with the exceptions of 1974 and 1979, when sampling was not conducted. The FMWT was initiated to determine the relative abundance and distribution of age-0 Striped Bass (Morone saxatilis) in the San Francisco Estuary (California, United States), but the data has also been used for other upper estuary pelagic species, including Delta Smelt (Hypomesus transpacificus), Longfin Smelt (Spirinchus thaleichthys), American Shad (Alosa sapidissima), Splittail (Pogonichthys macrolepidotus), and Threadfin Shad (Dorosoma petenense). The FMWT currently samples 130 stations each month from September to December and a subset of this data is used to calculate an annual abundance index. These 130 stations range from San Pablo Bay upstream to Stockton on the San Joaquin River, and West Sacramento on the Sacramento Deep Water Ship Channel. FMWT sampling data includes 193 unique station locations throughout the San Francisco Estuary; 63 are not currently sampled. Most stations no longer sampled occur in South and Central San Francisco Bay (1968-1979), with others located in San Pablo Bay and upstream into the Delta. There are catch records for stations that were sampled only once. Data users are encouraged to look at station frequency over time to understand when and where sampling occurred. Sampling takes approximately 14 days per month to complete. Historically, FMWT sampling occasionally began as early as July (1972) or August (1968-1973, 1993-1994, 1996-1997) and sometimes continued past December to March (1968-1973, 1978, 1991-2001) or beyond (1992-1995). The Spring Midwater Trawl (SMWT) was a modified survey created to continue sampling January-March to track movements of mature adult delta smelt from 1991-2001. SMWT was replaced in 2002 with the more e
Fisheries independent trawl survey data of fish biomass on North American and European oceanic shelves.
<p>Publicly available scientific bottom trawl survey data, primarily sampling demersal commercial species, were obtained from the Northeast Pacific and North Atlantic shelf regions in 2021. The final dataset contains approx. 197,000 unique tows and includes data from 1970 to 2019 (166,000 tows between 1980-2015). For each tow in each survey, we selected all teleost and elasmobranch species and obtained species weight. We corrected these weights for differences in sampling area (in km2) and trawl gear catchability.</p> <p>The data processing scripts and individual survey data can be found on Github (DOI: 10.5281/zenodo.7992482). The data processing scripts are modified based on earlier work from Pinsky et al. (2013) and Maureaud et al. (2019).</p> <p>If the correction for gear catchability is not important, it is recommended to use the FishGlob database (DOI: 10.5281/zenodo.7484547).</p> <p>Please contact Daniel van Denderen (pdvd@aqua.dtu.dk) for questions.</p> <p><strong>Column names</strong><br> Haul_id: unique haul identifyer<br> Survey_Region: survey name or name of ecoregion (depending on survey)<br> Gear: gear information (only included for northeast Atlantic region). Gear information is available for other regions. See original survey description (sources in manuscript).<br> Year: sampling year<br> Month: sampling month<br> Longitude: longitude (EPSG:4326)<br> Latitude: latitude (EPSG:4326)<br> Swept_area: estimate of swept area of survey gear (only included for northeast Atlantic region)<br> Bottom_depth: bottom depth in meters (as recorded in the survey data)<br> Family: taxonomic family of the teleost/elasmobranch<br> Name: species name (or higher taxonomic grouping)<br> kg_km2: wet weight (kilogram) per unit of swept area (km2)<br> kg_km2_corrected: wet weight (kilogram) per unit of swept area (km2) corrected for trawl gear catchability<br> F_type: fish type (demersal or pelagic)<br> Trophic_lev: Species-specific trophic level information</p> <p><br> <strong>Data uncertainties</strong><br> Data have predominantly been analysed at the community level and between 1980 and 2015. Any species-specific inferences may need further checking.</p> <p>To reduce the effect of potential outlying biomass estimates, it is recommended to remove all individual observations 1.5 times less/greater than the interquantile range per survey and year based on log10-transformed biomass values.</p> <p>Please contact Daniel van Denderen (pdvd@aqua.dtu.dk) for any comments/questions.</p>
NWFSC fish and invertebrate diversity derived from west coast groundfish trawl program
This dataset presents the community structure of groundfish and invertebrate in the West Coast since 1977. The community structure indices include the richness and Simpson’s evenness. The raw count data is from West Coast Groundfish Bottom Trawl survey conducted by the Northwest Fisheries Science Center. The spatial coverage of this dataset is between Pt Conception, California and north of U.S.-Mexico border.
Fig. 3 in Sustainability of capture of fish bycatch in the prawn trawling in northeastern Brazil
Fig. 3. Correspondence analysis showing the correlation among species and criteria used to evaluate the susceptibility and resilience. Legend: Pom cor - Pomadasys corvinaeformis, Cat spi - Cathrops spixii, Ste ras - Stellifer rastrifer, Pel har - Pellona harroweri, Ste ste - Stellifer stellifer, Chi ble - Chirocentrodon bleekerianus, Lar bre - Larimus breviceps, Men ame - Menticirrhus americanus, Con nob - Conodon nobilis, Pol vir - Polidactylus virginicus, Anc spi - Anchoa spinifer, Sel set - Selene setapinnis, Iso par - Isopisthus parvipinnis, Cet ede - Cetengraulius edentulus, Anc tri - Anchoa tricolor, Sel vom - Selene vomer, Bag mar - Bagre marinus, Rep - reproductive.
Fig. 2 in Sustainability of capture of fish bycatch in the prawn trawling in northeastern Brazil
Fig. 2. Classification of bycatch species according to criteria indicating susceptibility to capture and resilience. The combination of these criteria provides a graphic that indicates the species with the most sustainable catch. Legend: Pom cor - Pomadasys corvinaeformis, Cat spi - Cathrops spixii, Ste ras - Stellifer rastrifer, Pel har - Pellona harroweri, Ste ste - Stellifer stellifer, Chi ble - Chirocentrodon bleekerianus, Lar bre - Larimus breviceps, Men ame - Menticirrhus americanus, Con nob - Conodon nobilis, Pol vir - Polidactylus virginicus, Anc spi - Anchoa spinifer, Sel set - Selene setapinnis, Iso par - Isopisthus parvipinnis, Cet ede - Cetengraulius edentulus, Anc tri - Anchoa tricolor, Sel vom - Selene vomer, Bag mar - Bagre marinus.
Cumulative and average bottom trawling fishing hours in the Mediterranean Sea for the period 2015-2022
<p>An enhanced version of the R4AIS workflow (Galdelli et al., 2021) was used to process T-AIS data, with a poll frequency of 5 min, of fishing vessels operating in the Mediterranean Sea during 8 years (2015-2022). Data of vessels categorized as bottom trawlers were aggregated to obtain cumulative (fahs) and average (mfahs) fishing hours by fishing category at 0.1° and 0.5° resolution.</p> <p>Maps of bottom trawling fishing activity were created for four main areas at 0.1° (Adriatic Sea, Aegean Sea, Balearic Sea and Levantine Sea) and at 0.5° for the Mediterranean basin.</p> <p> </p>
Figure. Map of Turkey showing the sampling sites in the Black Sea. in Length-weight relationships of 28 fish species caught from demersal trawl survey in the Middle Black Sea, Turkey
Figure. Map of Turkey showing the sampling sites in the Black Sea.
Figure. Sampling stations (BS: beach seine, BT: beam trawl). in Length-weight relationships of forty-nine fish species from shallow waters of Gökçeada Island, northern Aegean Sea
Figure. Sampling stations (BS: beach seine, BT: beam trawl).
Fig. 1 in Sustainability of capture of fish bycatch in the prawn trawling in northeastern Brazil
Fig. 1. Map of northwestern Brazil showing location of study area in São Cristóvão beach.
Simulated trapping and trawling exert similar selection on fish morphology
<p>Commercial fishery harvest can influence the evolution of wild fish populations. Our knowledge of selection on morphology is however limited, with most previous studies focusing on body size, age and maturation. Within species, variation in morphology can influence locomotor ability, possibly making some individuals more vulnerable to capture by fishing gears. Additionally, selection on morphology has the potential to influence other foraging, behavioural, and life-history related traits. Here we carried out simulated fishing using two types of gears: a trawl (active gear) and trap (a passive gear), to assess morphological trait-based selection in relation to capture vulnerability. Using geometric morphometrics, we assessed differences in shape between high and low vulnerability fish, showing that high vulnerability individuals display shallower body shapes regardless of gear type. For trawling, low vulnerability fish displayed morphological characteristics that may be associated with higher burst-swimming, including a larger caudal region and narrower head, similar to evolutionary responses seen in fish populations responding to natural predation. Taken together, these results suggest that divergent selection can lead to phenotypic differences in harvested fish populations.</p>
Data from: Internal injuries in marine fishes caught in beam trawls using electrical versus mechanical stimulations
<p><span>To improve the ecological and economic sustainability in the Dutch beam trawl fishery, tickler chains were replaced by electrical pulse stimulation to drive sole (<em>Solea</em> <em>solea</em>) out of the seabed. Because electrical stimulation may cause internal injuries, we quantified this risk by sampling fish species from commercial beam trawlers and recording spinal injuries and haemorrhages from X-radiographs and autopsy. To distinguish mechanically and electrical-pulse-induced injuries, we compared injuries in ten species sampled from pulse (PUL) and tickler-chain (TCK) trawlers and four species sampled from PUL trawlers with the stimulus switched on or off. Co-occurrence of a major spinal injury and major haemorrhage at the same location was only observed in PUL samples, and were frequently (40%) observed in cod (<em>Gadus</em> <em>morhua</em>) and in low numbers (0–2%) in whiting (</span><span><em>Merlangius</em> <em>merlangus</em>)</span><span>, grey gurnard (<em>Eutrigla</em> <em>gurnardus</em>), and greater sandeel </span><span>(<em>Hyperoplus</em> <em>lanceolatus</em>),</span><span> but not in flatfishes and other species. In cod, injury occurrence correlated with fish length, with lower probabilities for small fish. Major spinal injury or major haemorrhage occurrence in PUL (range: <1–16%) was lower than in TCK (range: <1–42%) in eight of the ten species studied. Population-level consequences of pulse-induced injuries are considered negligible.</span></p>
Data from: Bottom trawling affects fish condition through changes in the ratio of prey availability to density of competitors
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Simulated trapping and trawling exert similar selection on fish morphology
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Data from: Fishing in the gene-pool: Implementing trawl-associated eDNA metaprobe for large scale monitoring of fish assemblages
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Data from: Internal injuries in marine fishes caught in beam trawls using electrical versus mechanical stimulations
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Figure 1 in Trophic level of fishes caught by trawls in Thracian Sea
Figure 1. The study area. Numbers indicate stations for each season per year (A, autumn 1996; B, winter 1997; C, spring 1997; D, autumn 1997; E, winter 1998; F, spring 1998).
Figure 3 in Trophic level of fishes caught by trawls in Thracian Sea
Figure 3. Relationship between the mean weighted trophic level (mTroph) and depth for fish species caught in the Thracian Sea, 1996–1998. (a) Discarded species; (b) marketable species; and (c) all fish species caught. The equations describing the relationships are shown in Table 2.
Cumulative and average beam and pelagic trawling fishing hours in the Adriatic Sea for the period 2015-2022
<p>An enhanced version of the R4AIS workflow (Galdelli et al., 2021) was used to process T-AIS data, with a poll frequency of 5 min, of fishing vessels operating in the Adriatic Sea during 8 years (2015-2022). Data of vessels categorized as beam trawlers and pelagic trawlers were aggregated to obtain cumulative (fahs) and average (mfahs) fishing hours by fishing category at 0.1°.</p> <p>Maps of beam and pelagic trawling fishing activity were created at 0.1°.</p>
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