Relevant bibliographies by topics / Fishes Fish stock assessment

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  2. Dissertations / Theses
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Academic literature on the topic 'Fishes Fish stock assessment'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Fishes Fish stock assessment"

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Saul, Steven, Elizabeth N. Brooks, and David Die. "How fisher behavior can bias stock assessment: insights from an agent-based modeling approach." Canadian Journal of Fisheries and Aquatic Sciences 77, no. 11 (November 2020): 1794–809. http://dx.doi.org/10.1139/cjfas-2019-0025.

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During stock assessment, fishery-dependent observations are often used to develop indices of abundance or biomass from catch per unit of effort (CPUE) and contribute catch at size or age information. However, fisher behavior, rather than scientific sampling protocols, determines the spatial and temporal locations of fishery-dependent observations. As a result, trends from fishery-dependent data may be a function of fishing activity rather than fish population changes. This study evaluates whether data collected from commercial fishing fleets in the Gulf of Mexico are representative of trends in fish population size. A coupled bioeconomic agent-based model was developed to generate simulated fishery data, which were used to populate an age-structured stock assessment. Comparison of stock assessment results with simulated fish population dynamics showed that management advice from assessment models based on fishery-dependent data could be biased. Assessment of fish with small home ranges harvested by fishing fleets that frequent the same fishing grounds could cause overestimation of fishing mortality. Not accounting for the spatial structure of the fishers or fish can cause biased estimates of population status.
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Alós, Josep, Andrea Campos-Candela, and Robert Arlinghaus. "A modelling approach to evaluate the impact of fish spatial behavioural types on fisheries stock assessment." ICES Journal of Marine Science 76, no. 2 (November 27, 2018): 489–500. http://dx.doi.org/10.1093/icesjms/fsy172.

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Abstract Spatial behavioural types (SBTs) arise from between-individual differences in behavioural traits that foster spatial behavioural patterns that are consistent over time and ecological contexts. Fish stocks are regularly assessed using catch per unit effort (CPUE) as input data that may non-linearly co-vary with the underlying abundance (N) of the exploited stock when SBT affect catchability. We hypothesized that SBT promote characteristic changes in catchability within harvesting seasons that affect catch rates and in turn catch-based fish stock assessments. To test this hypothesis, we developed a spatially explicit agent-based simulation where we measured encounters between fish and fishers and estimated the shape of the CPUE–N relationship. We ran the simulation in a prototypical fish–fisher encounter-leads-to-catch-type fishery and systematically studied outcomes in the presence or absence of SBTs. It was revealed that the existence of SBTs leads to CPUE inevitably declining faster than N (a process known as hyperdepletion) when compared with a simulation lacking SBTs. This finding was consistent in a wide range of fishing effort scenarios. The emergent hyperdepletion of catch rates was caused by fast and behavioural-selective exploitation of vulnerable SBT that encompassed the mobile component of the fish stock. The theoretical predictions received support from field data from a coastal recreational fishery. Our work suggests that the consideration of SBT when interpreting trends in CPUE data may notably improve stock assessments by providing a more reliable CPUE–N relationship.
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Chavez, Rosa A., Isabel M. Valdivia, and Marcelo E. Oliva. "Local variability in metazoan parasites of the pelagic fish species, Engraulis ringens: implications for fish stock assessment using parasites as biological tags." Journal of Helminthology 81, no. 2 (June 2007): 113–16. http://dx.doi.org/10.1017/s0022149x07726573.

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AbstractParasites have been used successfully as biological tags in population studies, mainly in marine fishes, but also in marine mammals, crustaceans and molluscs. Almost all published information dealing with parasites as biological tags evaluates differences between localities. However, local variability in the component community has not been assessed. In this work, we examined whether local variation of the metazoan parasite fauna of Engraulis ringens, extracted from five independent samples from two nearby localities in northern Chile, can be a factor causing bias in stock identification. Our results show that local variability, as estimated by a single sample, may suffice to represent component community variability with no need for replicated data.
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Schweder, Tore. "Integrative fish stock assessment by frequentist methods: confidence distributions and likelihoods for bowhead whales." Scientia Marina 67, S1 (April 30, 2003): 89–97. http://dx.doi.org/10.3989/scimar.2003.67s189.

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Kuznetsov, Mikhail Yu, and Yury A. Kuznetsov. "Hydroacoustic methods and tools for fish stock assessment and fishery maintenance Part 2. Methods and tools of fishery biohydroacoustics." Izvestiya TINRO 184, no. 1 (March 30, 2016): 264–94. http://dx.doi.org/10.26428/1606-9919-2016-184-264-294.

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Studies on influence of hydroacoustic fields on behaviour of commercial species and using of hydroacoustic tools for management of fish and squids behavior to increase the fishing efficiency are overviewed. The methods and means of fisheries biohydroacoustics are considered critically and the reasons of their unsatisfactory using in fishery are analyzed. Sounds with a certain spectrum and level are still applied for influence on fish behaviour without sufficient scientific and technical substantiation, so a complex approach to development of effective hydroacoustic tools for remote control of fish movement is necessary. Results of studies on acoustic reception and acoustic activity for schooling physostomous fishes are presented. Spectral-power and temporal parameters of the sounds and their frequency differentiation by fish size are determined. Sound-generating mechanisms of fish are considered and signal significances of the sounds radiated by fish are recognized. Stereotypes of acoustic behaviour are revealed for toothed whales during their hunting upon fish: these predatory cetaceans have special acoustic manipulators able to generate signals for concentration and holding the fish, adapted for hearing system of the prey. Results of hydrobionic modelling of organs and mechanisms for sound generation of marine animals and their technical realization in hydroacoustic devices are presented. The developed devices allow to generate underwater pulse sound signals simulating biological signals of certain physostomous fish species and predatory cetaceans (dolphins and killer whales). Efficiency of these simulating signals influence on behaviour of fish is proved by behavioral experiments and fishing tests. Applications of these devices for various fisheries are discussed.
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McGilliard, Carey R., André E. Punt, Richard D. Methot, and Ray Hilborn. "Accounting for marine reserves using spatial stock assessments." Canadian Journal of Fisheries and Aquatic Sciences 72, no. 2 (February 2015): 262–80. http://dx.doi.org/10.1139/cjfas-2013-0364.

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Some fish stock assessments are conducted in regions that contain no-take marine reserves (NTMRs). NTMRs are expected to lead to spatial heterogeneity in fish biomass by allowing a buildup of biomass inside their borders while fishing pressure occurs outside. Stock assessments do not typically account for spatial heterogeneity caused by NTMRs, which may lead to biased estimates of biomass. Simulation modeling is used to analyze the ability of several stock assessment configurations to estimate current biomass after the implementation of a single, large NTMR. Age-structured spatial operating models with three patterns of ontogenetic movement are used to represent the “true” population dynamics. Results show that assessing populations as a single stock with use of fishery catch-rate data and without accounting for the NTMR results in severe underestimation of biomass for two of the movement patterns. Omitting fishery catch-rate data or allowing time-varying dome-shaped selectivity after NTMR implementation leads to improved estimates of current biomass, but severe bias in estimated trends in biomass over time. Performing separate assessments for fished areas and NTMRs leads to improved estimation performance in the absence of movement among assessment areas, but can severely overestimate biomass otherwise. Performing a spatial assessment with estimation of movement parameters among areas was found to be the best way to assess a species, even when movement patterns were unknown. However, future work should explore the performance of spatial assessments when catchability varies among areas.
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Al-Mamun, Md Abdullah, Qun Liu, Sayedur Rahman Chowdhury, Md Sharif Uddin, K. M. Shahriar Nazrul, and Rokeya Sultana. "Stock Assessment for Seven Fish Species Using the LBB Method from the Northeastern Tip of the Bay of Bengal, Bangladesh." Sustainability 13, no. 3 (February 2, 2021): 1561. http://dx.doi.org/10.3390/su13031561.

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Assessment of fish stock status is generally required for fisheries management, which is difficult when the data are limited. The length-based Bayesian Biomass (LBB) approach is a powerful and new method, where only the length-frequency data are used for estimating the status of fisheries resources. Here, we applied the LBB method to assess the status of seven commercially valuable marine fishes from the northern tip of the Bay of Bengal (BoB), Bangladesh. These species were Lepturacanthus savala, Pampus argenteus, Nemipterus japonicas, Nemipterus randalli, Ilisha filigera, Saurida tumbil, and Upeneus sulphurous. The current relative biomass (B/B0) ratios were smaller than the BMSY/B0 in five stocks, except for N. japonicas and N. randalli, and this indicates that, of the seven populations assessed, two are grossly overfished, three are overfished, and two are healthy stocks. Moreover, the length at first capture (Lc) was lower than the optimal length at first capture (Lc_opt) in all seven populations, which indicates growth overfishing, suggesting that increasing the mesh sizes would be beneficial. The present findings confirm that Bangladesh’s coastal water fishery resources are declining. More specific targeted management measures should be taken to recover the country’s marine fishery resources.
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Simpfendorfer, Colin, and Kevin Donohue. "Keeping the fish in ‘fish and chips’: research and management of the Western Australian shark fishery." Marine and Freshwater Research 49, no. 7 (1998): 593. http://dx.doi.org/10.1071/mf97043.

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The shark fishery in the southern half of Western Australia fishery began in 1941 and developed slowly until the mid 1970s when the fishery began to expand rapidly. A management plan incorporating limited entry, gear specifications and effort controls was introduced in 1988 in response to concerns about the status of the stocks. Research has focused on the assessment of stocks, and has involved the collection of catch-and-effort data since 1975, and tactical research projects to gather data on biology; this has allowed the implementation of stock assessment, modelling and forecasting techniques. The fishing industry is involved in the development of the research projects and in the decision-making process of management. This, together with regular reporting of research results, assists in maintaining industry support and acceptance of results. A potential disadvantage of the involvement of industry is the delay in implementation that may be caused by the complexity of the system of consultation or by the conflict between regulation of the fishery and the present livelihood of fishers. However, this is minimized by the creation of clear quantitative targets for management.
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Pinto, Cecilia, Morgane Travers-Trolet, Jed I. Macdonald, Etienne Rivot, and Youen Vermard. "Combining multiple data sets to unravel the spatiotemporal dynamics of a data-limited fish stock." Canadian Journal of Fisheries and Aquatic Sciences 76, no. 8 (August 2019): 1338–49. http://dx.doi.org/10.1139/cjfas-2018-0149.

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The biological status of many commercially exploited fishes remains unknown, mostly due to a lack of data necessary for their assessment. Investigating the spatiotemporal dynamics of such species can lead to new insights into population processes and foster a path towards improved spatial management decisions. Here, we focused on striped red mullet (Mullus surmuletus), a widespread yet data-limited species of high commercial importance. Aiming to quantify range dynamics in this data-poor scenario, we combined fishery-dependent and -independent data sets through a series of Bayesian mixed-effects models designed to capture monthly and seasonal occurrence patterns near the species’ northern range limit across 20 years. Combining multiple data sets allowed us to cover the entire distribution of the northern population of M. surmuletus, exploring dynamics at different spatiotemporal scales and identifying key environmental drivers (i.e., sea surface temperature, salinity) that shape occurrence patterns. Our results demonstrate that even when process and (or) observation uncertainty is high, or when data are sparse, if we combine multiple data sets within a hierarchical modelling framework, accurate and useful spatial predictions can still be made.
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Demer, David A., Juan P. Zwolinski, George R. Cutter, Kyle A. Byers, Beverly J. Macewicz, and Kevin T. Hill. "Sampling selectivity in acoustic-trawl surveys of Pacific sardine (Sardinops sagax) biomass and length distribution†." ICES Journal of Marine Science 70, no. 7 (August 19, 2013): 1369–77. http://dx.doi.org/10.1093/icesjms/fst116.

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Abstract Demer, D. A., Zwolinski, J. P., Cutter, G. R. Jr, Byers, K. A., Macewicz, B. J., and Hill, K. T. Sampling selectivity in acoustic-trawl surveys of Pacific sardine (Sardinops sagax) biomass and length distribution. – ICES Journal of Marine Science, 70: . To annually assess the northern stock of Pacific sardine (Sardinops sagax) in the California Current and set harvest quotas for the US fishery, managers have used an age-structured stock synthesis model fitted with results from acoustic-trawl (ATM), daily-egg-production, and aerial-photogrammetric survey methods, fishery landing and individual-length data, and many assumed or empirically derived parameters. In these assessments, sardine landed at ports spanning from Ensenada, México to Vancouver Island, Canada were assumed to be solely from the northern stock. It was also assumed that the ATM estimates of sardine biomass were negligibly biased for the sizes of fish sampled by the survey trawls (i.e., catchability q = 1 for sardine standard length (SL) values greater than ∼17 cm). Due to these catchability and length-selectivity assumptions, the ATM- and assessment-estimated abundances are mostly similar for larger sardine. However, the assessment estimates include large abundances of small sardine (SL values less than ∼15 cm) that are not represented in either the ATM-survey results or the fishery landings, and generally did not recruit to the migrating northern stock sampled by the ATM surveys. We considered four explanations for this disparity: (i) the ATM length-selectivity assumption is correct; (ii) the non-recruiting small fish may comprise a smaller portion of the stock than indicated by the assessments; (iii) during years of low recruitment success, those size classes may be virtually completely fished by the Ensenada and San Pedro fisheries; or (iv) they may belong to the southern sardine stock. This investigation emphasizes the previously identified importance of differentiating samples from the northern and southern stocks and surveying their entire domains.
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Dissertations / Theses on the topic "Fishes Fish stock assessment"

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Wraith, James A. "Assessing reef fish assemblages in a temperate marine park using baited remote underwater video." School of Biological Sciences, 2007. http://ro.uow.edu.au/theses/12.

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Baited remote underwater video (BRUV) is becoming an increasing popular tool for examining reef fish assemblages in depths less than 100m. This sampling technique is relatively new in the literature and several gaps remain to be filled. Scientists using this technique have selected bait based on results from trapping experiments. Therefore the first objective of the study was to compare commonly used baits and test if different fish species and fish assemblages were recorded. I planned to apply results from the first study towards further research using BRUV. Management at Jervis Bay Marine Park, located in southeast Australia, have applied a strategy to protect a comprehensive and representative sample of local habitats and associated flora and fauna. In doing so, sanctuary “no take” zones have been put in place. Surprisingly, there are no patch reefs afforded this protection. My second objective was to provide the Jervis Bay Marine Park management with baseline data on deep patch reef locations and to draw comparisons between deep patch, deep coastal, and shallow coastal reefs. I compared three different baits (pilchard, abalone, and urchin) at three locations in two separate years. A total of 63 “drops” (30 min recordings) were conducted in two years and a total of 47 species were recorded. There were no differences in the diversity and abundance of fish recorded while baited with pilchard and abalone. In contrast, in the second year of sampling I detected a greater species richness and abundance using pilchard, compared to urchin, at most locations (p<0.05). The two most speciose families recorded in the study were Labridae and Monacanthidae. These families, as well as several individual fish species, were examined but there were no significant differences in their relative abundance among bait treatments. Additionally, in the second year of sampling I detected differences in H′ and time of first arrival among locations (p<0.05). Surprisingly, large differences between the baits were greatly reduced at one location - Plantation Point. I interpret this finding as there being a high density of fish at Plantation Point that masks the differences in the attraction of these baits. I concluded that as the behaviour and structure of the fish assemblage can vary in space, pilchard was the best choice of bait for consistently detecting species richness and abundance. A total of 144 BRUV “drops” (30 min recordings) in 9 locations in 2005 and 2006 were completed in the second study. The composition of fish assemblage at shallow and deep water habitats was different (p<0.05). Indeed, depth related differences for temperate reef fish are well documented and my findings emphasise the need for the Marine Park management to maintain protection of reef habitats across abroad range of depths. I did not detect any differences in the composition of the fish assemblage or the relative abundance of fish between the two deep habitats (p>0.05), although the presence of several rarely encountered species including Bodianus unimaculatus, Coris sandageri, Meuschenia scaber, Caesioperca lepidoptera, and Eubalichthys mosaicus were recorded in the deep patch reef habitat. I concluded that the inclusion of the deep habitat in the sanctuary zoning plan is important for protecting fish biodiversity. By generating permanent baseline data, this study aims to assist Marine Park management in making sound decisions on future zoning plans.
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Duncan, Murray. "The genetic stock structure and distribution of Chrysoblephus Puniceus, a commercially important transboundary linefish species, endemic to the South West Indian Ocean." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1011868.

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Chrysoblephus puniceus is an over-exploited linefish species, endemic to the coastlines off southern Mozambique and eastern South Africa. Over-exploitation and habitat loss are two of the biggest threats to the sustainability of fisheries globally. Assessing the genetic stock structure (a prerequisite for effective management) and predicting climate related range changes will provide a better understanding of these threats to C. puniceus which can be used to improve the sustainability of the fishery. Two hundred and eighty four genetic samples were collected from eight sampling sites between Ponta da Barra in Mozambique and Coffee Bay in South Africa. The mitochondrial control region and ten microsatellite loci were amplified to analyse the stock structure of C. puniceus. The majority of microsatellite and mtDNA pairwise population comparisons were not significant (P > 0.05) although Xai Xai and Inhaca populations had some significant population comparisons for mtDNA (P < 0.05). AMOVA did not explain any significant variation at the between groups hierarchical level for any pre-defined groupings except for a mtDNA grouping which separated out Xai Xai and Inhaca from other sampling sites. SAMOVA, isolation by distance tests, structure analysis, principle component analysis and spatial autocorrelation analysis all indicated a single population of C. puniceus as being most likely. The migrate-n analysis provided evidence of current driven larval transport, with net migration rates influenced by current dynamics.Two hundred and thirty six unique presence points of C. puniceus were correlated with seasonal maximum and minimum temperature data and bathymetry to model the current distribution and predict future distribution changes of the species up until 2030. Eight individual species distribution models were developed and combined into a mean ensemble model using the Biomod2 package. Winter minimum temperature was the most important variable in determining models outputs. Overall the ensemble model was accurate with a true skills statistic score of 0.962. Binary transformed mean ensemble models predicted a northern and southern range contraction of C. puniceus' distribution of 15 percent; by 2030. The mean ensemble probability of occurrence models indicated that C. puniceus' abundance is likely to decrease off the southern Mozambique coastline but remain high off KwaZulu-Natal. The results of the genetic analysis support the theory of external recruitment sustaining the KwaZulu Natal fishery for C. puniceus. While the high genetic diversity and connectivity may make C. puniceus more resilient to disturbances, the loss of 15 percent; distribution and 11 percent; genetic diversity by 2030 will increase the species vulnerability. The decrease in abundance of C. puniceus off southern Mozambique together with current widespread exploitation levels could result in the collapse of the fishery. A single transboundary stock of C. puniceus highlights the need for co-management of the species. A combined stock assessment between South Africa and Mozambique and the development of further Marine Protected Areas off southern Mozambique are suggested as management options to minimise the vulnerability of this species.
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Kassler, T. W. "Genetic assessment of two stizostedion species and their hybrid in the Ohio River, final report." [Champaign, Ill.] : Illinois Natural History Survey, Center for Aquatic Ecology, 2000. http://hdl.handle.net/2142/10599.

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"Submitted to Ohio Division of Wildlife." "The first objective was to determine the accuracy of field identification of individual fish to species and to assess the extent of hybridization between walleye and sauger ... The second objective was to assess genetic variation in both species ... " -- p.3. Also available in print.
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Hernández, Antonio Valencia. "Assessment of allometry and length-at-age in the growth of fishes." Thesis, University of Liverpool, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275048.

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Leonard, David Michael DeVries Dennis R. Wright Russell A. "Investigating interactions between channel catfish and other sport fishes in Alabama's state public fishing lakes." Auburn, Ala, 2009. http://hdl.handle.net/10415/1595.

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Berejikian, Barry A. "The effects of hatchery and wild ancestry and environmental factors on the behavioral development of steelhead trout fry (Oncorhynchus mykiss) /." Thesis, Connect to this title online; UW restricted, 1995. http://hdl.handle.net/1773/5400.

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Ernst, Billy. "An investigation on length-based models used in quantitative population modeling /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/5281.

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Northrop, Amanda Rosalind. "Importance of various data sources in deterministic stock assessment models." Thesis, Rhodes University, 2008. http://hdl.handle.net/10962/d1002811.

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In fisheries, advice for the management of fish populations is based upon management quantities that are estimated by stock assessment models. Fisheries stock assessment is a process in which data collected from a fish population are used to generate a model which enables the effects of fishing on a stock to be quantified. This study determined the effects of various data sources, assumptions, error scenarios and sample sizes on the accuracy with which the age-structured production model and the Schaefer model (assessment models) were able to estimate key management quantities for a fish resource similar to the Cape hakes (Merluccius capensis and M. paradoxus). An age-structured production model was used as the operating model to simulate hypothetical fish resource population dynamics for which management quantities could be determined by the assessment models. Different stocks were simulated with various harvest rate histories. These harvest rates produced Downhill trip data, where harvest rates increase over time until the resource is close to collapse, and Good contrast data, where the harvest rate increases over time until the resource is at less than half of it’s exploitable biomass, and then it decreases allowing the resource to rebuild. The accuracy of the assessment models were determined when data were drawn from the operating model with various combinations of error. The age-structured production model was more accurate at estimating maximum sustainable yield, maximum sustainable yield level and the maximum sustainable yield ratio. The Schaefer model gave more accurate estimates of Depletion and Total Allowable Catch. While the assessment models were able to estimate management quantities using Downhill trip data, the estimates improved significantly when the models were tuned with Good contrast data. When autocorrelation in the spawner-recruit curve was not accounted for by the deterministic assessment model, inaccuracy in parameter estimates were high. The assessment model management quantities were not greatly affected by multinomial ageing error in the catch-at-age matrices at a sample size of 5000 otoliths. Assessment model estimates were closer to their true values when log-normal error were assumed in the catch-at-age matrix, even when the true underlying error were multinomial. However, the multinomial had smaller coefficients of variation at all sample sizes, between 1000 and 10000, of otoliths aged. It was recommended that the assessment model is chosen based on the management quantity of interest. When the underlying error is multinomial, the weighted log-normal likelihood function should be used in the catch-at-age matrix to obtain accurate parameter estimates. However, the multinomial likelihood should be used to minimise the coefficient of variation. Investigation into correcting for autocorrelation in the stock-recruitment relationship should be carried out, as it had a large effect on the accuracy of management quantities.
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Corradin, Lisa M. "Recruitment and growth dynamics of lake trout in western Lake Superior /." Link to Abstract, 2004. http://epapers.uwsp.edu/abstracts/2004/Corradin.pdf.

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Kitterman, Christy L. "An assessment of barotrauma and the stock characteristics of Tennessee River sauger populations a thesis presented to the faculty of the Graduate School, Tennessee Technological University /." Click to access online, 2009. http://proquest.umi.com/pqdweb?index=4&did=1908035871&SrchMode=1&sid=1&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1265309878&clientId=28564.

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Books on the topic "Fishes Fish stock assessment"

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Organization, Food and Agriculture, ed. Fish stock assessment manual. Rome: Food and Agriculture Organization, 2003.

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I, I͡U︡danov K., ed. Acoustic fish reconnaissance. Boca Raton: CRC/Taylor & Francis, 2005.

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Fortier, Greg. Lake monitoring program: Sturgeon Lake stock assessment, 2003. Peace River, Alta: Alberta Conservation Association, 2004.

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Fortier, Greg. Lake monitoring program: Sturgeon Lake stock assessment, 2003. Peace River, Alta: Alberta Conservation Association, 2004.

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Erik, Ursin, Venema S. C, Food and Agricultural Organization of the United Nations., and DANIDA, eds. Introduction to tropical fish stock assessment. Rome: Food and Agriculture Organization of the United Nations, 1989.

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Methot, Richard Donald. Technical description of the stock synthesis assessment program. [Seattle, Wash.]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, [Northwest Fisheries Science Center, 2000.

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Great Britain. Parliament. House of Lords. Select Committee on Science and Technology. Fish stock conservation and management: Evidence received up to 11 July 1995. London: HMSO, 1995.

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Fortier, Greg. Status of sport fishes in Vandersteene Lake, Alberta, 2004. Peace River, Alta: Alberta Conservation Association, 2005.

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Canada. Dept. of Fisheries and Oceans. Gulf Region. Science Branch. The Lake O'Law project, Cape Breton, Nova Scotia: 1989-1993. Moncton, N.B: Dept. of Fisheries and Oceans, Science Branch, Gulf Region, 1995.

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F, Parker James. Stock assessment and biological characteristics of burbot in Fielding Lake during 1998. Anchorage: Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 1999.

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Book chapters on the topic "Fishes Fish stock assessment"

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Hiramatsu, Kazuhiko. "Fisheries Stock Assessment." In Fish Population Dynamics, Monitoring, and Management, 159–76. Tokyo: Springer Japan, 2018. http://dx.doi.org/10.1007/978-4-431-56621-2_9.

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Pope, John G. "Stock Assessment Models and Predictions of Catch and Biomass." In Fish Reproductive Biology, 279–320. Oxford, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118752739.ch7.

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Hilborn, Ray, and Carl J. Walters. "Observing fish populations." In Quantitative Fisheries Stock Assessment, 159–94. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0_5.

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Reite, Karl-Johan, J. Haugen, F. A. Michelsen, and K. G. Aarsæther. "Sustainable and Added Value Small Pelagics Fisheries Pilots." In Big Data in Bioeconomy, 389–409. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_30.

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AbstractThis chapter describes four pilot cases covering the Norwegian pelagic fisheries for small fish species in the North Atlantic Ocean, such as mackerel, herring and blue whiting. The pilot cases aim to improve sustainability and value creation. Big data methods and tools have been used to demonstrate the potential impact on fuel consumption, fisheries planning and fish stock assessments. Specifically, the pilots have targeted immediate operational choices, short-term fisheries planning, fish stock assessments and longer-term market predictions.
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Fernandes, Jose A., Zigor Uriondo, Igor Granado, and Iñaki Quincoces. "Tuna Fisheries Fuel Consumption Reduction and Safer Operations." In Big Data in Bioeconomy, 377–88. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_29.

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AbstractThis chapter demonstrates the potential of tuna fishing fleets to reduce their fuel oil consumption. In the “Oceanic tuna fisheries, immediate operational choices” pilot, the data monitoring system on vessels periodically upload data to the server for shore analysis. The data analytics employs fuel oil consumption equations and propulsion engine fault detection models. The fuel consumption equations are being used to develop immediate operational decision models. The fault detection models are used to plan maintenance operations and to prevent unexpected engine malfunctions. The data-driven planning software allows probabilistic forecasting of tuna biomass distribution and analysing changes in fishing strategies leading to fuel consumption reduction. These changes in fishing strategies can be summarized as a transition from hunting to harvesting. Vessels do not search for fish, but instread take less risks and fish, where it is more likely that the fish can be found and is easier to capture. Buoy data are increasingly used to improve stock assessments and have the potential to allow better monitoring and planning of fish quotas fulfilment.
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Diamond, M., M. W. Aprahamian, and R. North. "A Theoretical Assessment of Cormorant Impact on Fish Stocks in Great Britain." In Interactions Between Fish and Birds: Implications for Management, 43–50. Oxford, UK: Blackwell Publishing Ltd, 2007. http://dx.doi.org/10.1002/9780470995372.ch4.

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Reite, Karl-Johan, Jose A. Fernandes, Zigor Uriondo, and Iñaki Quincoces. "The Potential of Big Data for Improving Pelagic Fisheries Sustainability." In Big Data in Bioeconomy, 371–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_28.

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AbstractThe use of big data methods and tools are expected to have a profound effect on the pelagic fisheries sustainability and value creation. The potential impact on fuel consumption, planning and fish stock assessments is demonstrated in six different pilot cases. These cases cover the Spanish tropical tuna fisheries in Indian Ocean and the Norwegian small pelagic fisheries in the North Atlantic Ocean. The areas encompassed by these pilots have an annual capture production above 13 million tonnes.
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Kayanda, R. J., A. I. Chande, Yunus D. Mgaya, E. Mlaponi, and O. C. Mkumbo. "Stock Assessment of Commercial Fish Species of Lake Victoria." In Lake Victoria Fisheries Resources, 107–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69656-0_6.

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Brown, Grant E., and Douglas P. Chivers. "Learning About Danger: Chemical Alarm Cues and the Assessment of Predation Risk by Fishes." In Fish Cognition and Behavior, 49–69. Oxford, UK: Blackwell Publishing Ltd, 2007. http://dx.doi.org/10.1002/9780470996058.ch4.

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Brown, Grant E., Maud C. O. Ferrari, and Douglas P. Chivers. "Learning about Danger: Chemical Alarm Cues and Threat-Sensitive Assessment of Predation Risk by Fishes." In Fish Cognition and Behavior, 59–80. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444342536.ch4.

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Conference papers on the topic "Fishes Fish stock assessment"

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Man, Mustafa, Muhammad Zaidi Zakaria, and Fakhrul Adli Mohd Zaki. "WfSAT: A web based fish stock assessment tools for generating fish statistical population information using fish length method." In OCEANS 2010 IEEE - Sydney. IEEE, 2010. http://dx.doi.org/10.1109/oceanssyd.2010.5603967.

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Madureira, L., M. Pinho, P. L. Costa, S. Weigert, G. Griep, and L. Calliari. "Acoustical database dedicated to fish stock assessment being optimized to generate seafloor information and integrate biological, environmental and geomorphological studies." In 2013 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics). IEEE, 2013. http://dx.doi.org/10.1109/rioacoustics.2013.6684024.

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ZIELIŃSKA-SITKIEWICZ, Monika, and Mariola CHRZANOWSKA. "APPLICATION OF SYNTHETIC TAXONOMIC MEASURE TMAI FOR THE ASSESSMENT OF INVESTMENT ATTRACTIVENESS OF THE SELECTED FOOD INDUSTRY COMPANIES LISTED ON THE WARSAW STOCK EXCHANGE IN THE YEARS 2013 – 2016." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.161.

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The food sector is one of the most important and fastest growing branches of the Polish economy. It employs almost 15% of all employees employed in the industry. Polish manufacturers are characterised by high competitiveness both in the EU and in the world. The macroeconomic environment in recent years has been relatively stable for the development of the food industry production in Poland, but the dynamics of agricultural-food products has experienced a slight slowdown. There were also fluctuations in profitability ratios in the sector, which may have been somewhat alarming for the investors. The article attempted to evaluate the investment attractiveness of 24 joint stock companies in the food sector, representing various industries, listed on the Warsaw Stock Exchange. The Taxonomic Measure of the Attractiveness of Investments (TMAI) and the company rankings were created for the years 2013 – 2016. The results showed that the Wawel and Astarta companies were at the top of the rankings in the studied years, representing the confectionery and the sugar sector, and the Żywiec company from the beer industry. The meat and fish processing companies were more or less centred on the scale. The companies KSG Argo, Milkiland, Wilbo, Pepees and Pamapol involved in the agricultural-food production and processing received the poorest evaluations of the investment attractiveness. The synthetic taxonomic TMAI measure makes it possible to build company rankings within the analyzed group, from the point of view of the assessment of the financial condition and investment attractiveness of the surveyed companies. It can provide additional help in assessing the company’s situation, e.g., for the investors.
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Thomas, Gary L., Thomas R. Hahn, and Richard E. Thorne. "Integrating passive and active acoustics for the assessment of fish stocks." In Oceans 2007. IEEE, 2007. http://dx.doi.org/10.1109/oceans.2007.4449243.

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Ishimatsu, Atsushi, Masahiro Hayashi, Takashi Kikkawa, and Jun Kita. "Effects of CO2 Ocean Sequestration on Marine Fish." In 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92198.

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Ocean sequestration of CO2 has been proposed as a possible measure to retard the increasing rate of the atmospheric CO2 concentration. Since some negative impacts on marine animals and ecosystems are likely to ensue, we must carefully investigate biological effects of ocean CO2 sequestration before embarking on this mitigation practice. Considering the expected depths for CO2 ocean sequestration (&gt; 1,000 m), it is desirable to use deep-sea animals for the experimental assessment of CO2 ocean sequestration. In addition, experimental protocols preferably mimic environmental conditions at the releasing site: CO2 concentrations vary due to mixing with surrounding seawater at low temperatures (0–2 °C) and under high pressures. This paper describes our recent experiments to elucidate the effects of high CO2 on marine fishes. A deep-sea fish Careproctus trachysoma (habitat depth 400–800 m) can be captured alive and be used for in vivo CO2 exposure experiments. 100% mortality occurred when the fish was exposed to seawater equilibrated with a gas mixture containing 3% CO2 conditions at 2 °C within 48 h, whereas mortality was never observed when shallow-water fishes (Mustelus manazo, Paralichthys olivaceus and Seriola quinqueradiata) were tested under the same CO2 conditions but at higher temperatures (17–20 °C). It is currently not clear whether this difference in mortality is due to often presumed high susceptibility of deep-sea organisms to environmental perturbations. Subsequent experiments demonstrated that low water temperature accelerates mortality by CO2 exposure. Thus, half lethal time decreased from 105h to only 5 h when water temperature was decreased from 26 °C to 20 °C (CO2 8.5%, Sillago parvisquamis). Therefore, the high CO2 susceptibility of C. trachysoma could be solely due to low water temperature. Temporally varying CO2 conditions resulted in markedly different mortality patterns when compare with mortality recorded under constant CO2 conditions. Step-wise increases in ambient CO2 resulted in much lower mortalities than under one-step increases to the same CO2 levels. Further, a sudden drop of CO2 from 9–10% CO2 to air level (0.038%) killed all the surviving fish within a few minutes.
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Rao, Ramana K., Brian L. Stormwind, Ishrat Chaudhuri, and Marcus Garcia. "Multiple Pathway Health Risk Assessment and Multimedia Environmental Monitoring Programs for a Municipal Waste Resource Recovery Facility in Maryland." In 12th Annual North American Waste-to-Energy Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/nawtec12-2207.

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Following a 1986 decision by Montgomery County in Maryland to construct a municipal waste resource recovery facility near the town of Dickerson, the local community expressed concern regarding the potential human health effects from air emissions of dioxins and trace metals released through the stack of the proposed facility. To address this concern, the County conducted health risk studies and ambient monitoring programs before and after the facility became operational. The purpose of the health risk studies was to determine potential cancer and non-cancer risks to the nearby residents from the operations of the facility. The purpose of the ambient monitoring programs was to determine if any changes would occur in the ambient levels of certain target chemicals in the environmental media, and if such changes can be attributed to the operations of the facility. Accordingly, the County conducted a multiple pathway health risk assessment in 1989 prior to the construction of the facility. The pre-operational health risk assessment was based on estimated stack engineering parameters and available stack emissions data from municipal waste resource recovery facilities that were operating in the United States, Canada and Europe during the 1980’s. The health risk assessment used established procedures that were accepted by the U.S. Environmental Protection Agency (U.S. EPA) and many state agencies at that time. The Montgomery County Resource Recovery Facility (RRF) became operational in the spring of 1995. The facility is equipped with the state-of-the-art air pollution control (APC) equipment including a dry scrubber-fabric filter baghouse system to control organics and trace metals, ammonia injection system to control nitrogen oxides, and activated carbon injection system to control mercury. In 2003, the County retained ENSR International to update the 1989 health risk assessment study. In the 2003 operational-phase update, as-built engineering data and measured stack emissions data from a total of eighteen quarterly stack emissions tests were used. The study was conducted in accordance with the U.S. EPA’s Human Health Risk Assessment Protocol for Hazardous Waste Combustion Facilities published in 1998 [1], and an Errata, published in 1999 [2]. Both the 1989 study and the 2003 study demonstrated that there is a very low chance (less than one chance in a million) for occurrence of cancer and no adverse non-cancer health effects to the nearby community as a result of exposure to facility-related emissions. The multi-media ambient monitoring programs were conducted in abiotic and biotic environmental media. These programs included an air-monitoring component and a non-air monitoring component. The pre-operational phase of the air media and non-air media monitoring was conducted in 1994–1995. The pre-operational program was designed to produce baseline data for target chemicals in both air and non-air media. The operational-phase air media monitoring was conducted in 1997 and 2003. The operational-phase non-air media monitoring was conducted in 1997 and 2001. Target chemicals monitored in both air and non-air media included polychlorinated dioxins and furans (PCDDs/PCDFs) and selected toxic metals (arsenic, beryllium, cadmium, chromium, lead, mercury, and nickel). The non-air media included crops, farm pond surface water and fish tissue, and cow’s milk. The ambient levels of target chemicals monitored in the operational phase of the facility (1997, 2001 and 2003) demonstrated no measurable difference from the ambient levels of these chemicals monitored in the pre-operational phase (1994–95) of the facility, in both the air media and non-air media. The results of the health risk studies and ambient monitoring programs demonstrate that municipal waste combustion facilities that are equipped with the state-of-the-art air pollution control equipment pose no significant health risk to the population.
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