Relevant bibliographies by topics / Fisheries stock assessment

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fisheries stock assessment'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Fisheries stock assessment"

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Bentley, Nokome. "Data and time poverty in fisheries estimation: potential approaches and solutions." ICES Journal of Marine Science 72, no. 1 (March 5, 2014): 186–93. http://dx.doi.org/10.1093/icesjms/fsu023.

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Abstract The increasingly sophisticated methods developed for stock assessment are not always suited to data-poor fisheries. Data-poor fisheries are often low in value, so the researcher time available for their assessment is also small. The dual constraints of reduced data and reduced time make stock assessments for low-value stocks particularly challenging. Prior probability distributions are useful for transferring knowledge from data-rich to data-poor fisheries. When data are limited, it is important to make the most of what few data is available. However, fully understanding potential biases in data are just as important in the data-poor context as it is in data-rich fisheries. A key aspect of stock assessment is peer review. Providing a comprehensive, yet concise, set of diagnostics is crucial to a stock assessment where time is limited. Against the standards by which data-rich stock assessments are judged, stock assessments for data-poor stocks are likely to be found deficient. A key challenge is to maintain a balance between the opposing risks of inappropriate management “action” due to assessment inaccuracy, and inappropriate management “inaction” due to assessment uncertainty.
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Arrizabalaga, Haritz, Victor R. Restrepo, Mark N. Maunder, and Jacek Majkowski. "Using stock assessment information to assess fishing capacity of tuna fisheries." ICES Journal of Marine Science 66, no. 9 (June 19, 2009): 1959–66. http://dx.doi.org/10.1093/icesjms/fsp165.

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Abstract Arrizabalaga, H., Restrepo, V. R., Maunder, M. N., and Majkowski, J. 2009. Using stock assessment information to assess fishing capacity of tuna fisheries. – ICES Journal of Marine Science, 66: 1959–1966. In tuna and tuna-like fisheries, there is a need for periodic assessments of fishing capacity to aid management. However, the nature and quantity of data needed to apply conventional methodologies for estimating fishing capacity are not usually available for tuna fisheries. We discuss simple alternative approaches to estimate fishing capacity and related quantities (i.e. capacity utilization, excess capacity, and overcapacity) directly from stock assessment inputs and outputs that are usually available for most tuna (and many other) stocks. Sensitivity analyses are performed to assess the effect of different levels of data aggregation and different assumptions made during the stock assessments on estimates of fishing capacity. Main advantages and disadvantages of the proposed methodologies are also illustrated using stock assessment information from different tuna stocks with different historical developments and trends in fishing mortality.
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Starr, Paul, John H. Annala, and Ray Hilborn. "Contested stock assessment: two case studies." Canadian Journal of Fisheries and Aquatic Sciences 55, no. 2 (February 1, 1998): 529–37. http://dx.doi.org/10.1139/f97-230.

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We describe two case studies where scientists representing alternative interest groups worked together to attempt to resolve scientific issues of fisheries assessments. In several fisheries in New Zealand, commercial fishing interests hired consultants to review governmental assessments. In some of these fisheries, the two sides provided alternative competing assessments; in other fisheries, there was a cooperative agreed-upon assessment. In the analysis of chinook salmon (Oncorhynchus tshawytscha) within the Pacific Salmon Treaty, scientists representing all parties agreed upon an assessment procedure and developed it over a number of years. Such contested assessments provide a number of benefits including (i) intense peer review, (ii) the ability to bring data from all parties into the assessment process, and (iii) better understanding and trust of the assessments by the different interest groups. Effective peer review requires repeating the calculations associated with data sources and assessment models. We suggest that contested assessments, despite the extra cost, are highly valuable, as they provide a substantially improved standard of assessment. Contested assessments will evolve towards cooperative analysis unless participating parties feel that the cooperative assessment is counter to their perceived interests.
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Fisch, Nicholas, Angela Collins, and Edward V. Camp. "What is stock assessment?" EDIS 2021, no. 2 (May 4, 2021): 5. http://dx.doi.org/10.32473/edis-fa232-2021.

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Whether you’re an angler, diver, conservationist, or just interested in fisheries, you’ve likely heard the term “stock assessment” before. What are stock assessments? How do they work? How do they inform management decisions? This publication provides information to the public and people serving in natural resource management agencies and working in outreach and Extension to show how fisheries management decisions are made.
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Conquest, Loveday L. "Stock Assessment in Inland Fisheries." Transactions of the American Fisheries Society 127, no. 1 (January 1998): 153–54. http://dx.doi.org/10.1577/1548-8659(199801)127:1<0153:sditsc>2.0.co;2.

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Medley, P. A., G. Gaudian, and S. Wells. "Coral reef fisheries stock assessment." Reviews in Fish Biology and Fisheries 3, no. 3 (September 1993): 242–85. http://dx.doi.org/10.1007/bf00043930.

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Kuparinen, Anna, Samu Mäntyniemi, Jeffrey A. Hutchings, and Sakari Kuikka. "Increasing biological realism of fisheries stock assessment: towards hierarchical Bayesian methods." Environmental Reviews 20, no. 2 (June 2012): 135–51. http://dx.doi.org/10.1139/a2012-006.

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Excessively high rates of fishing mortality have led to rapid declines of several commercially important fish stocks. To harvest fish stocks sustainably, fisheries management requires accurate information about population dynamics, but the generation of this information, known as fisheries stock assessment, traditionally relies on conservative and rather narrowly data-driven modelling approaches. To improve the information available for fisheries management, there is a demand to increase the biological realism of stock-assessment practices and to better incorporate the available biological knowledge and theory. Here, we explore the development of fisheries stock-assessment models with an aim to increasing their biological realism, and focus particular attention on the possibilities provided by the hierarchical Bayesian modelling framework and ways to develop this approach as a means of efficiently incorporating different sources of information to construct more biologically realistic stock-assessment models. The main message emerging from our review is that to be able to efficiently improve the biological realism of stock-assessment models, fisheries scientists must go beyond the traditional stock-assessment data and explore the resources available in other fields of biological research, such as ecology, life-history theory and evolutionary biology, in addition to utilizing data available from other stocks of the same or comparable species. The hierarchical Bayesian framework provides a way of formally integrating these sources of knowledge into the stock-assessment protocol and to accumulate information from multiple sources and over time.
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Duplisea, Daniel E. "Eliminating implausible fisheries assessment models using fishers’ knowledge." Canadian Journal of Fisheries and Aquatic Sciences 75, no. 8 (August 2018): 1280–90. http://dx.doi.org/10.1139/cjfas-2017-0178.

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Peer review of competing deepwater redfish (Sebastes mentella) assessment models revealed data inconsistencies where stock biomass decline shown by the survey in the 1990s was too rapid to be explained solely by reported catch. The models invoked different techniques to achieve fits, one by changing mortality at age and the other by survey weighting. The former fitted reported catch well, while the latter accepted a mismatch between reported and estimated catch. The assessments produced different estimates of historical stock size and future productivity. Interviews conducted with fishers of the stock suggested that catch was at least twice as high as the official record. In light of the fishers’ evidence, the model that invoked a large change in mortality with age to follow reported catch closely now appears less credible. This serves as a warning against introducing new biological mechanisms without credible justification. This is an example of how indicators derived from fisher’s knowledge, even if only from a small number of interviews, can be used to eliminate less plausible models.
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Chen, Yong. "Quality of fisheries data and uncertainty in stock assessment." Scientia Marina 67, S1 (April 30, 2003): 75–87. http://dx.doi.org/10.3989/scimar.2003.67s175.

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Cadrin, Steven X., and Mark Dickey-Collas. "Stock assessment methods for sustainable fisheries." ICES Journal of Marine Science 72, no. 1 (December 19, 2014): 1–6. http://dx.doi.org/10.1093/icesjms/fsu228.

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Abstract This special volume of the ICES Journal compiles contributions from the World Conference on Stock Assessment Methods for Sustainable Fisheries (July 2013, Boston, USA). The conference was the product of a strategic initiative on stock assessment methods that engaged many national and regional fishery management organizations to assure that scientists can apply the most appropriate methods when developing management advice. An inclusive workshop was designed to evaluate the performance of a variety of model categories by applying multiple models to selected case study data as well as simulated pseudo-data that had realistic measurement error. All model applications had difficulties in recovering the simulated stock and fishing mortality trends, particularly at the end of the assessment time series, when they are most important for informing fishery management. This general result suggests that the next steps in evaluating the performance of stock assessment methods should include stock status relative to sustainable reference points, catch advice, multi-model consideration, and alternative management procedures. Recognition of the limitations of conventional stock assessment methods should promote further development of data-limited approaches, methods with time-varying parameters, or spatial complexity, and a more revolutionary shift towards the application of multispecies and ecosystem models. The contributions in this volume address methodological themes that are expected to improve the scientific basis of fishery management. Furthermore, the limitations of stock assessment methods and associated uncertainty should be more extensively considered in fishery management strategies and tactical decisions. Recommendations developed during the conference called for the establishment of a global initiative to synthesize regional advances, form guidance on best practices, promote strategic investments, and highlight research needs for fish stock assessments.
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Dissertations / Theses on the topic "Fisheries stock assessment"

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Bakhshi, Andisheh. "Length-structured approach to fisheries stock assessment." Thesis, University of Strathclyde, 2017. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=28512.

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Modern fishing fleets have the capacity to over-exploit fish stocks. Inaccurate assessments could overestimate the stock size and as a result Total Allowable Catches (TAC) are set too high for sustainable stock conservation. Fisheries management need robust and reliable stock assessments to ensure that the species and environmental effect of fishing is sustainable. Since the demand for ecosystem based approaches to management has increased, the needs for improved estimates of un-assessed abundance have risen. Managers simply need to know how many fish left in the see and how much to limit the fishermen to fish to have sustainable fisheries. Therefore, accurate assessment of the market as well as by-catch stocks and records of true landings and discards are critical aspects of the scientific advice to the fisheries managers to accurately set TACs. Here, we consider the marine species that are left un-assessed. That is because they cannot be assessed by the existing methods. We therefore sought to fill the key gap with this matter. This thesis has five key elements. First we reviewed the stock assessment method with the emphasis on the length-structured models. Second, we produced a population model (so called survey-landings model) to make the use of survey frequency data extracted from International Bottom Trawl Survey and total annual landed biomass from commercial reports. Third, within a twin-experiment context and sensitivity analysis the model was assessed for accuracy and robustness in variability in initial parameter values and observational noise. Forth, applying the survey-landings model the population dynamics of the North Sea haddock was assessed and the results were compared with the International Council for Exploitation of the Sea assessment. Fifth, after the model proved to be reliable it is used as an alternative for age- or catch-at-length model, the population of the North Sea grey gurnards were modelled with confidence. This model enabled un-assessed species such as grey gurnards to be modelled and assessed for the first time.
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Nam, Jong-Oh. "Korean fisheries : policies, stock assessment and compliance issues /." View online ; access limited to URI, 2007. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3298374.

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Davis, Michelle L. "Assessment of the South Atlantic red porgy (Pagrus pagrus) population under a moratorium." Connect to this title online, 2003. http://scholar.lib.vt.edu/theses/available/etd-01062004-090503/.

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Deng, Xiaoying. "A comparative analysis of fish stock assessment methods, spatial-temporal versus VPA." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ57106.pdf.

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Caneco, Bruno. "Modelling catch sampling uncertainty in fisheries stock assessment : the Atlantic-Iberian sardine case." Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/4474.

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The statistical assessment of harvested fish populations, such as the Atlantic-Iberian sardine (AIS) stock, needs to deal with uncertainties inherent in fisheries systems. Uncertainties arising from sampling errors and stochasticity in stock dynamics must be incorporated in stock assessment models so that management decisions are based on realistic evaluation of the uncertainty about the status of the stock. The main goal of this study is to develop a stock assessment framework that accounts for some of the uncertainties associated with the AIS stock that are currently not integrated into stock assessment models. In particular, it focuses on accounting for the uncertainty arising from the catch data sampling process. The central innovation the thesis is the development of a Bayesian integrated stock assessment (ISA) model, in which an observation model explicitly links stock dynamics parameters with statistical models for the various types of data observed from catches of the AIS stock. This allows for systematic and statistically consistent propagation of the uncertainty inherent in the catch sampling process across the whole stock assessment model, through to estimates of biomass and stock parameters. The method is tested by simulations and found to provide reliable and accurate estimates of stock parameters and associated uncertainty, while also outperforming existing designed-based and model-based estimation approaches. The method is computationally very demanding and this is an obstacle to its adoption by fisheries bodies. Once this obstacle is overcame, the ISA modelling framework developed and presented in this thesis could provide an important contribution to the improvement in the evaluation of uncertainty in fisheries stock assessments, not only of the AIS stock, but of any other fish stock with similar data and dynamics structure. Furthermore, the models developed in this study establish a solid conceptual platform to allow future development of more complex models of fish population dynamics.
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McCafferty, James Ross. "An assessment of inland fisheries in South Africa using fisheries-dependent and fisheries-independent data sources." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1005072.

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The role of inland fisheries as contributors to local and national economies in developing African countries is well documented. In South Africa, there is increasing interest in inland fisheries as vehicles for achieving national policy objectives including food security, livelihoods provision, poverty alleviation and economic development but there is surprisingly little literature on the history, current status, and potential of inland fishery resources. This lack of knowledge constrains the development of management strategies for ensuring the biological sustainability of these resources and the economic and social sustainability of the people that are dependent on them. In order to contribute to the knowledge base of inland fisheries in South Africa this thesis: (1) presents an exhaustive review of the available literature on inland fisheries in South Africa; (2) describes the organisation of recreational anglers (the primary users of the resource); (3) compiles recreational angling catch records and scientific gill net survey data, and assesses the applicability of these data for providing estimates of fish abundance (catch-per-unit effort [CPUE]); and finally, (4) determines the potential for models of fish abundance using morphometric, edaphic, and climatic factors. The literature review highlighted the data-poor nature of South African inland fisheries. In particular information on harvest rates was lacking. A lack of knowledge regarding different inland fishery sectors, governance systems, and potential user conflicts was also found. Recreational anglers were identified as the dominant user group and catch data from this sector were identified as potential sources of fish abundance and harvest information. Formal freshwater recreational angling in South Africa is a highly organised, multi-faceted activity which is based primarily on angling for non-native species, particularly common carp Cyprinus carpio and largemouth bass Micropterus salmoides. Bank anglers constituted the largest number of formal participants (5 309 anglers affiliated to formal angling organisations) followed by bass anglers (1 184 anglers affiliated to formal angling organisations). The highly structured nature of organised recreational angling and dominant utilisation of inland fisheries resources by this sector illustrated not only the vested interest of anglers in the management and development of inland fisheries but also the role that anglers may play in future decision-making and monitoring through the dissemination of catch data from organised angling events. Generalised linear models (GLMs) and generalised additive models (GAMs) were used to standardise CPUE estimates from bass- and bank angling catch records, which provided the most suitable data, and to determine environmental variables which most influenced capture probabilities and CPUE. Capture probabilities and CPUE for bass were influenced primarily by altitude and conductivity and multiple regression analysis revealed that predictive models incorporating altitude, conductivity, surface area and capacity explained significant (p<0.05) amounts of variability in CPUE (53%), probability of capture (49%) and probability of limit bag (74%). Bank angling CPUE was influenced by conductivity, surface area and rainfall although an insignificant (p>0.05) amount of variability (63%) was explained by a predictive model incorporating these variables as investigations were constrained by small sample sizes and aggregated catch information. Scientific survey data provided multi-species information and highlighted the high proportion of non-native fish species in Eastern Cape impoundments. Gillnet catches were influenced primarily by species composition and were less subject to fluctuations induced by environmental factors. Overall standardised gillnet CPUE was influenced by surface area, conductivity and age of impoundment. Although the model fit was not significant at the p<0.05 level, 23% of the variability in the data was explained by a predictive model incorporating these variables. The presence of species which could be effectively targeted by gillnets was hypothesised to represent the most important factor influencing catch rates. Investigation of factors influencing CPUE in impoundments dominated by Clarias gariepinus and native cyprinids indicated that warmer, younger impoundments and smaller, colder impoundments produced higher catches of C. gariepinus and native cyprinids respectively. A predictive model for C. gariepinus abundance explained a significant amount of variability (77%) in CPUE although the small sample size of impoundments suggests that predictions from this model may not be robust. CPUE of native cyprinids was influenced primarily by the presence of Labeo umbratus and constrained by small sample size of impoundments and the model did not adequately explain the variability in the data (r² = 0.31, p>0.05). These results indicate that angling catch- and scientific survey data can be useful in providing predictions of fish abundance that are biologically realistic. However, more data over a greater spatial scale would allow for more robust predictions of catch rates. This could be achieved through increased monitoring of existing resource users, the creation of a centralised database for catch records from angling competitions, and increased scientific surveys of South African impoundments conducted by a dedicated governmental function.
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Rijal, Staci Faye. "Informing U.S. Caribbean fisheries management through simulation modeling: a case of length-based mortality estimation models." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/36379.

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Length-based stock assessment models estimating mortality rates are attractive choices for assessing fisheries with data deficiencies. The U.S. Caribbean is exploring using these models and trying to optimize their commercial sampling program for such a model.

A simulation model was constructed to compare two length-based mortality estimators, the Beverton-Holt and Gedamke-Hoenig models. The simulations also tested aspects of the Gedamke-Hoenig model previously not thoroughly addressed, such as the effects of varied life history parameters, violating the assumptions of constant growth and recruitment, sample sizes (n), and sampling program length (Ys) on total mortality rate estimates (Z).

Given the scenarios investigated, the Beverton-Holt model produced consistently biased, but more stable results when n was low, variation was high for both growth and recruitment, and sampling began after the change in Z took place. The Gedamke-Hoenig model was generally less biased and detected changes in Z, but produced variable results of the current Z, especially with low sample sizes and high variability. In those situations, both models can be carefully interpreted together for management advice.

In the Gedamke-Hoenig model results, a clear pattern emerged in the mean accuracy and precision of the model where after an asymptote was reached, increasing n did not improve the means. The variance of the model improved with both increasing n and increasing Ys. Outliers were predictable and could be accounted for on a case-by-case basis.

The model developed here can be a tool for guiding future stock assessment model choice and sample design in the U.S. Caribbean and other regions.
Master of Science

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Dodgen, Rose Elizabeth. "Patterns in size distribution and catch of rockfish (Sebastes spp.) in fisheries-independent and fisheries- dependent hook-and-line surveys on the Central Coast of California." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2183.

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Stock assessments are statistical models which characterize the state of a population of fish. Data for stock assessment models of West Coast nearshore groundfish come largely from fisheries-dependent sources. Incorporating fisheries-independent data would increase data availability. A potential source of fisheries-independent data which is comparable to existing fisheries-dependent data is the California Collaborative Fisheries Research Program (CCFRP), a Marine Protected Area (MPA) monitoring study. We are interested in understanding the context in which CCFRP could be implemented into assessments of nearshore groundfish, specifically rockfish. To investigate this, we used management-relevant metrics to examine three questions concerning the implementation of CCFRP as a data source: whether the scope of the project captures the core depth distribution of a species, whether the methodology of the project affects assessment metrics, and how the presence of data from MPAs affects assessment metrics. Comparisons were made for three species with different life histories and desirability in the recreational groundfish fishery: Blue rockfish (Sebastes mystinus), Vermilion rockfish (S. miniatus), and Gopher rockfish (S. carnatus). Based on these metrics and comparisons, we found that the specific method of potential implementation of fisheries-independent data into stock assessments is highly species dependent, but all species could benefit. Implementing this data will lead to better-informed management, ensuring that these populations persist.
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Japp, David William. "An assessment of the South African longline fishery with emphasis on stock integrity of kingklip, Genypterus capensis (Pisces : ophidiidae)." Thesis, Rhodes University, 1989. http://hdl.handle.net/10962/d1004660.

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The South African demersal longline experiment is assessed with emphasis on the target species, kingklip Genypterus capensis. The hypothesis that kingklip on the South African coast comprise a unit stock is tested. Recommendations for the management of the fishery are made. Longlining was found to be commercially viable. Techniques have been developed to target on either kingklip or the Cape hakes, Herluccius capensis and H. paradoxus. Longline fishermen exploit the kingklip spawner stock from August to No v ember by taking advantage of prespawning aggregations on the South-East Coast . Effort switches to the West Coast in late summer and early winter where kingklip are less abundant and a larger proportion of hake is caught. Catch rates of kingklip on the South Coast have declined sharply and the resource there has been exploited at a rate greater than that required to retain 50% of the unexploited biomass . There is a 17,6% probability that the spawner biomass on the South Coast has already been depleted below its pristine level. On the West Coast the catch rates of kingklip are lower than on the South Coast and have not changed significantly, although within the 95% confidence limits there is a possibility that the resource there has also been depleted below 50% of its pristine level. Genypterus capensis on the South African coast comprise a unit stock. Comparison of kingklip morphology using multivariate and discriminant function analysis and of otolith morphology using univariate statistics shows that there are no significant differences between the fish on the West and South Coasts. They are a slow growing species and were aged up to 25 years. Kingklip on the West Coast are smaller and have a lower L~ than those on the South Coast, but this is not a characteristic of discrete stocks. Kingklip on the South Coast mature earlier than those on the West Coast and aggregate to spawn on the South - East Coast in spring. There is no obvious spawning period on the West Coast. It is hypothesized that kingklip spawning on the South-East Coast is in response to favourable environmental conditions that enhances the survival of their eggs and larvae. It is recommended that demersal longlining be established as a permanent kingklip-directed fishery but that effort should not be allowed to increase. The West and South Coasts should be managed .separately. A TAC of 5 OOOt for kingklip should be introduced for 1989 of which 2 OOOt should be allocated to the West Coast and 3 OOOt to the South Coast . A closed season for kingklip from 1 August to 30 September on the South-East Coast is recommended. Hake-directed longlining should not be allowed as its effect on the hake spawner stocks are unknown and could be a potential threat to the stability of the demersal trawl fishery.
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Martins, de Lucena Flavia. "Species interaction in fish stock assessment and management in southern Brazil : a bio-economic approach." Thesis, University of East Anglia, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327604.

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Books on the topic "Fisheries stock assessment"

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Hilborn, Ray, and Carl J. Walters. Quantitative Fisheries Stock Assessment. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0.

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Nance, James Milton. Gulf of Mexico shrimp stock assessment workshop. Galveston, Tex: Dept. of Commerce, National Ocean and Atmospheric Administration, Southeast Fisheries Center, 1989.

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Hilborn, Ray. Quantitative fisheries stock assessment: Choice, dynamics, and uncertainty. New York: Chapman and Hall, 1991.

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Hilborn, Ray. Quantitative fisheries stock assessment: Choice, dynamics and uncertainty. Boston: Kluwer Academic Publishers, 2001.

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Hilborn, Ray. Quantitative fisheries stock assessment: Choice, dynamics, and uncertainty. New York: Chapman and Hall, 1992.

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Deriso, R. B. Age structured stock assessment of Lake Erie walleye. Ann Arbor, MI: Great Lakes Fishery Commission, 1988.

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Hebert, Kyle Peter. Southeast Alaska 2012 herring stock assessment surveys. Anchorage: Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 2013.

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Clark, Robert A. Stock assessment of Arctic grayling in Fielding Lake. Anchorage, Alaska: Alaska Dept. of Fish and Game, Division of Sport Fish, 1991.

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Clark, Robert A. Stock assessment of Arctic grayling in Fielding Lake. Anchorage, Alaska: Alaska Dept. of Fish and Game, Division of Sport Fish, 1990.

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Clark, Robert A. Stock assessment of Arctic grayling in Fielding Lake. Juneau, Alaska: Alaska Dept. of Fish and Game, Division of Sport Fish, 1989.

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Book chapters on the topic "Fisheries 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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King, Michael. "Stock Assessment." In Fisheries Biology, Assessment and Management, 239–72. Oxford, UK: Blackwell Publishing Ltd,., 2013. http://dx.doi.org/10.1002/9781118688038.ch5.

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Hilborn, Ray, and Carl J. Walters. "Stock and Recruitment." In Quantitative Fisheries Stock Assessment, 241–96. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0_7.

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Hilborn, Ray, and Carl J. Walters. "Objectives of Fisheries Management." In Quantitative Fisheries Stock Assessment, 22–43. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0_2.

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Hilborn, Ray, and Carl J. Walters. "Role of Stock Assessment in Fisheries Management." In Quantitative Fisheries Stock Assessment, 3–21. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0_1.

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Hilborn, Ray, and Carl J. Walters. "Virtual Population Analysis." In Quantitative Fisheries Stock Assessment, 349–68. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0_10.

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Hilborn, Ray, and Carl J. Walters. "Statistical Catch-at-Age Methods." In Quantitative Fisheries Stock Assessment, 369–90. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0_11.

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Hilborn, Ray, and Carl J. Walters. "Depletion Estimates of Population Size and Turnover." In Quantitative Fisheries Stock Assessment, 391–409. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0_12.

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Hilborn, Ray, and Carl J. Walters. "Analysis of Body Size and Growth Data." In Quantitative Fisheries Stock Assessment, 410–33. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0_13.

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Hilborn, Ray, and Carl J. Walters. "Multispecies Analysis." In Quantitative Fisheries Stock Assessment, 434–49. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3598-0_14.

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Conference papers on the topic "Fisheries stock assessment"

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Kohut, Josh, Laura Palamara, Enrique Curchitser, John Manderson, Greg DiDomenico, Matthew J. Oliver, Matthew Breece, and Dewayne Fox. "Toward dynamic marine spatial planning tools: Can we inform fisheries stock assessments by using dynamic habitat models informed by the integrated ocean observing system (IOOS)?" In OCEANS 2014. IEEE, 2014. http://dx.doi.org/10.1109/oceans.2014.7003095.

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Reports on the topic "Fisheries stock assessment"

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Mouat, Beth, Mike Bergh, Richard Shelmerdine, and Kobus Leach. Scottish Inshore Fisheries Integrated Data System (SIFIDS): Work package 1 final report: Review and optimisation of shellfish data collection strategies for Scottish inshore waters. Edited by Hannah Ladd-Jones and Mark James. Marine Alliance for Science and Technology for Scotland (MASTS), 2018. http://dx.doi.org/10.15664/10023.23379.

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[Extract from Executive Summary] The collection of additional data to facilitate fisheries management has been identified as a priority at the national level via the Scottish Inshore Fisheries Strategy, and at the local level in the management plans of Regional Inshore Fisheries Groups. Data collection implemented by industry offers a potentially cost effective means by which to provide additional information to enhance current stock assessment programmes, and to produce empirical indicators to inform fisheries management. The fundamental driver for data collection should be the purpose for which it is required; however, the regionalisation of fisheries management and increased, and often competing, demands, on our marine space mean that there are many potential uses for industry derived data. This report presents the findings of a single work package in the wider prototypic Scottish Inshore Fisheries Integrated Data System (SIFIDS) project; looking at ways in which inshore fisheries data collection can be improved on. The propose of this work package was to review and evaluate current inshore (shellfish) fisheries data collection and stock assessments in order to determine where it might be possible for industry derived data collection to provide a positive contribution. For the purposes of this work package the focus was limited to brown crab, lobsters, and scallops.
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Bates, C. Richards, Melanie Chocholek, Clive Fox, John Howe, and Neil Jones. Scottish Inshore Fisheries Integrated Data System (SIFIDS): Work package (3) final report development of a novel, automated mechanism for the collection of scallop stock data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23449.

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[Extract from Executive Summary] This project, aimed at the development of a novel, automated mechanism for the collection of scallop stock data was a sub-part of the Scottish Inshore Fisheries Integrated Data Systems (SIFIDS) project. The project reviewed the state-of-the-art remote sensing (geophysical and camera-based) technologies available from industry and compared these to inexpensive, off-the -shelf equipment. Sea trials were conducted on scallop dredge sites and also hand-dived scallop sites. Data was analysed manually, and tests conducted with automated processing methods. It was concluded that geophysical acoustic technologies cannot presently detect individual scallop but the remote sensing technologies can be used for broad scale habitat mapping of scallop harvest areas. Further, the techniques allow for monitoring these areas in terms of scallop dredging impact. Camera (video and still) imagery is effective for scallop count and provide data that compares favourably with diver-based ground truth information for recording scallop density. Deployment of cameras is possible through inexpensive drop-down camera frames which it is recommended be deployed on a wide area basis for further trials. In addition, implementation of a ‘citizen science’ approach to wide area recording is suggested to increase the stock assessment across the widest possible variety of seafloor types around Scotland. Armed with such data a full, statistical analysis could be completed and data used with automated processing routines for future long-term monitoring of stock.
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