530 resultados para fish stock management


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The demersal fish stock of Wadge Bank is one of the important fish resources for both Sri Lanka and India. Sivalingam and Medcof (1957) have given an account of its history, general features and relative productivity. According to records the total fishing effort on the bank had been fluctuating and very recently the number of boats operating on the bank has suddenly increased, and there is a possibility that still more will begin operating on the bank in the near future (Mendis, 1965). The increased fishing effort with the possibility of still further increase calls for proper management practices by those concerned, in order to obtain the maximum sustained yield from the demersal stock. For this purpose a detailed study of the past performance of the fishery is essential. With this in view all records of commercial operations up to 1960 are being analysed by the present author and are to be published in a series. This is the first paper in the series and gives a detailed analysis of the first commercial trawling operations from 1928 to 1935. Since there had been a major break of about 10 years between this and the present fishery this data is being analysed separately.

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The basis for a long-term profitable fishery is a precautionary and environment-compatible use of fish stocks. The fishery management presently models the exploitation through the parameters of fishing mortality and the age at first capture. These two parameters are translated into the technical measures of fishing effort and mesh openings and quotas, which are then used in practice for controlling the fishery. Stock protection can be achieved by reducing the fishing effort, by assigning smaller quotas, by reducing the number of days at sea, or by increasing the mesh opening. The respective protection measures have different effects on the development of the stocks but also on the revenue obtained by the fishery. These alternatives have been examined taking as an example the cod stock in the western Baltic. The optimization goal was the maximization of profit observing at the same time the prerequisites for stock protection according to the precaution approach. For these calculations the same models and data have been used as are beeing used in the stock management of the ACFM of ICES. The response of altered technical measures to the recruitment of cod stock was considered, and a proposal to overcome overfishing of cod in the western Baltic Sea was derived.

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Profit maximization in fishery protects cod of western Baltic Sea against overfishing – Only a theoretical approach? The frame for the management of fish stocks politically given contains – apart from ecological and social goals – also an economic goal, which is considered here in particular. From the point of view of fishery enterprises the main management goal for the exploitation of fish stocks is the maximization of profit. There are models for the yield optimization since long time. They are mainly used so far to optimize fishing mortality. Here the Beverton and Holt yield model was used. Apart from the optimization of fishing effort the model was used to optimize age of first capture and thus mesh opening. Starting point of the considerations is a given age group of a fish stock. If this age group is completely fished the yield obtained from this age group is maximized. The investigations show that the term overfishing is not exclusively linked as frequently assumed with a too large fishing mortality, but likewise with a mismatch of the mesh opening. For the calculated example Baltic cod data are used. At present the cod is caught far from reaching its mass optimum. Therefore, the profit of fishery enterprises can in the long term be considerably increased by the optimization of the mesh opening. During the conversion from the state of the art to fishing with optimised mesh sizes, however, a loss of profit has to be expected. The title of the paper sounds provocative. However, the stock of the Baltic Sea cod is better protected by a long-term maximum-profit oriented exploitation than by the precautionary approach applied now.

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The economic situation of the German fishing fleet, economic indicators and backgrounds have been analysed in the overall framework of the EU-Concerted Action ‘Economic Assessment of European fishing fleets’. Trends in number of vessels, employment on board and catches for main target species are decreasing. This development may clearly be related to bad fish stock conditions, missing investment op-portunities for vessels and the short-term fishing quota man-agement system. To facilitate fisheries economics research a better data collection system is needed. As a consequence economic advice may be given for the development of a long-term sustainable management system.

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The EU-Commission has started an initiative to improve the quantity and quality of fishery data. This will improve the quality of fish stock assessments and is expected to implicitly enhance the quality of stock management. By the relevant regulations 1543/2000 and 1639/2001 member states are obliged to establish national programmes for the sampling of data necessary to evaluate the situation of fishery resources and the fishery sector. In this article the German national data sampling programme is described.

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Several fishery independent estimates of the year-class strength are necessary for the assessment and the management of the total fish stock. An index for the year-class strength of the spring spawning herring in the western Baltic Sea is estimated on the basis of larvae surveys in the most important spawning ground. The results indicate a strong year-class 2002.

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The management of a fish aimed at maximising the fishing yield of the managed fish stock. There are models for the yield optimisation since long time. They are used so far mainly to optimise the fishing mortality. Starting point of this paper is a number of fish of an age group of a fish stock. This age group is accompanied over its lifetime. A result of the investigations is that the term growth over-fishing is linked not as frequently assumed exclusive with a too large fishing mortality, but likewise with a mismatch of the mesh opening. The investigations show that the fishing yield increases with the fishing effort on condition that fishing is carried out with an optimised mesh opening. For the calculated example Baltic cod data are used. At present the cod is caught far before reaching the yield optimum. Now the fish is substantially too small when it is caught and did not reach its optimal mass at this time. Therefore the sustainable fishing yield could be increased considerably by the optimasation of the mesh opening. During the conversion from the state of the art to fishing with optimised mesh sizes, however, a loss of profit has to be expected. A further advantage of the mesh enlargement is an increase of the spawning stock size accompanying with it, since the fish is caught at a later age. By the use of substantially larger mesh openings the cod has the opportunity to spawn several times and generate descendants and this will also lead to an increased yield in future. In addition better prices could be obtained at the market by catching larger cod.

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Several fishery independent estimates of the year-class strength are necessary for the assessment and the management of the total fish stock. An index for the year-class strength of the spring spawning herring in the western Baltic Sea is estimated on the basis of larvae surveys in the most important spawning ground. The results indicate a weak year-class 2001.

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Several fishery independent estimates of the year-class strength are necessary for the assessment and the management of the total fish stock. An index for the year-class strength of the spring spawning herring in the western Baltic Sea is estimated on the basis of larvae surveys in the most important spawning ground. The results of this year’s herring larvae survey indicate a weak year-class 2000.

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Im Rahmen der Bewirtschaftung der Fischressourcen des Nordatlantiks werden für alle Nutzfischarten jährlich Bestandsgrößen und Nachwuchsraten erarbeitet, die Grundlagen für die Festlegung künftiger Fangmengen dieser Arten sind. Da in diese Berechnungen Daten Unterschiedlicher Zuverlässigkeit eingehen und den Berechnungsmethoden verschiedene Voraussetzungen zugrunde liegen, bestehen Unsicherheiten in der Präzision der Vorhersagen. Deshalb werden die benutzten Modelle und ihre Ergebnisse laufend kritisch überprüft und weiterentwickelt. Aufgrund der Einschränkungen der bisher benutzten Methoden und den Wünschen der Fischwirtschaft, Vorhersagen für Bestandsentwicklungen für mindestens 5 Jahre zu entwickeln, startete einer Reihe europäischer Fischerei- bzw. Meeresforschungsinstitute eine gemeinsame Aktion mit dem Ziel, die wissenschaftliche Basis für Bestandsabschätzungen und -vorhersagen zu verbessern. Diese "ConcertedAction: Sustainable fisheries. How can the scientific basis for fish stock assessments and predictions be improved? (SAP)" wird vom Generaldirektor für Fischerei der Kommission der Europäischen Gemeinschaft als Projekt FAIR CT 97-3805 seit dem 01.01.1998 für 40 Monate gefördert.

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Abstract Environmental changes may have an impact on life conditions of the fish, e.g. food supply for the fish. The prevailing environmental conditions apply evenly to all age groups of one stock. Small fish have high growth rates, whereas large fish grow with low rates. But, it can be shown on the basis of the von Bertalanffy-growth model that it is sufficient to know only the growth rate of one single age group to compute the growth rates of all other age groups. The growth rate of a reference fish GRF (e.g. a fish with a body mass of 1 kg) was introduced as a reference growth describing the current food condition of all age groups of the stock. As an example a time series of the reference-growth rate of the northern cod stock (NAFO, 3K) was computed for the time span 1979 to 1999. For the northern cod stock it can be observed that environmental conditions caused growth rates below the long-term mean for seven years in a row. After a prolonged hunger period the fish stock collapsed in 1992 also by the impact of fisheries - and this was probably not a coincidence. Now, with the reference-growth rate GRF a simple and handy parameter was found to summarize the influence of the environmental conditions on growth and other derived models and therefore makes it easier to compute the influence of environmental changes within stock assessment. Zusammenfassung Veränderungen der Umwelt können Auswirkungen auf die Lebensbedingungen der Fische haben, z. B. auf das Nahrungsangebot der Fische. Die vorherrschenden Umgebungsbedingungen wirken gleichmäßig auf alle Altersgruppen eines Bestandes, wobei typischer Weise kleineFische hohe Wachstumsraten haben, während die großen Fische mit niedrigen Raten wachsen. Auf der Grundlage des von Bertalanffy-Wachstumsmodells kann gezeigt werden, dass es ausreicht, nur die Wachstumsrate von einer einzigen Altersgruppe zu kennen, um die Wachstumsraten von allen anderen Altersgruppen berechnen zu können. Die Wachstumsrate eines Referenz-Fisches (z.B. eines Fisches mit einer Körpermasse von 1 kg) wurde als Referenz-Wachstum GRF eingeführt, die den aktuellen Zustand des Nahrungsangebots füralle Altersgruppen des Bestandes beschreibt. Als Beispiel wurde einer Zeitreihe der Referenz-Wachstumsraten des nördlichen Kabeljaubestandes (NAFO, 3K) für die Zeitsraum 1979 bis 1999 berechnet. Für diesen Kabeljaubestand war zu beobachten, dass Umgebungsbedingungen für sieben Jahre in Folge Wachstumsraten unter dem langjährigen Mittelwert verursachten. Nach einer längeren Hungerperiode kollabierte dieser Fischbestand im Jahr 1992 auch durch den Einfluß der Fischerei - und dies war sicher kein Zufall. Jetzt, mit der Referenz-Wachstumsrate GRF, ist ein einfacher und handlicher Parameter gefunden, der es gestattet den Einfluss der Umweltbedingungen auf die Wachstumsbedingungen und andere davon abgeleitete Modelle zusammenzufassen. Dies macht es einfach, den Einfluss von Umweltveränderungen innerhalb der Bestandsabschätzungen zu berechnen.

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Multimesh, multidepth gillnet fleets are useful in assessing fish stock abundance, size distribution and depth distribution. Using data collected on net mesh selectivity for Nile perch, Lates niloticus (L.), in the Kenyan waters of Lake Victoria, suitable mesh sizes for gillnet fleets for use in the Lake Victoria Fisheries Research Project were determined. The modal selection length for Nile perch in the mesh sized used in the earlier experiment were determined, as was the size range vulnerable to capture. Initial trials suggest 60% of the Nile perch swim within 5 m of the bottom. Setting and hauling of the nets is simple and quick, allowing the nets to be used at the same time as other sampling programmes.

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A comparison of some different European methods of estimating the numbers of fish in a lake using different fishing gear is described. The different gears used were 1. surface trawl used by night 2. bottom trawl used by day 3. trammel nets, set in the evening and lifted in the morning 4. surface seine net used by night 5. bottom seine net used by day 6. Fyke nets, emptied each morning and evening 7. gill nets, set in the evening and lifted in the morning. The most variable catches were from those gears used by day on the bottom and the least variable were those used by night at the surface. The work continued by examining the use of acoustic systems for pelagic fish stock assessment. This gear gave reasonable population estimates for pelagic fish 10m and more below the surface. The advantage of the accoustic method is that it is quick and requires little labour. Its disadvantage is that it is not possible to identify the species and so it must be supplemented by another, conventional method.

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Arrowtooth flounder (Atheresthes stomias) has had the highest abundance of any groundfish species in the Gulf of Alaska since the 1970s (Matarese et al., 2003; Turnock et al., 2005; Blood et al., 2007); however, commercial catches have been restricted because Pacific halibut (Hippoglossus stenolepis) are caught as bycatch in the fishery. Arrowtooth flounder plays a key role in the ecosystem because it is a dominant organism within the food web, both as an apex predator of fish and invertebrates, as well as an important prey for walleye pollock (Theragra chalcogramma; Aydin et al., 2002). Walleye pollock is the dominant groundfish in the Bering Sea, a principal groundfish in the Gulf of Alaska, and the primary prey for marine mammals. The distribution of arrowtooth flounder extends from Cape Navarin and the eastern Sea of Okhotsk in Russia, across the Bering Sea, Aleutian Islands, Gulf of Alaska, and south to the coast of central California (Shuntov, 1964; Britt and Martin, 2001; Chetvergov, 2001; Weinberg et al., 2002; Zenger, 2004). Because of the importance of arrowtooth flounder in the marine ecosystem of A laska, a maturity study of this species was undertaken to determine age-at-maturity, which is essential for age-based stock management models. Before these results, management has had to rely upon a length-at-maturity-based estimate (Zimmermann, 1997) to manage stocks in the Gulf of Alaska (GOA), Bering Sea, and Aleutian Islands. The central GOA was selected as the location for this maturity study Age- and length-at-maturity of female arrowtooth flounder (Atheresthes stomias) in the Gulf of Alaska because it contains approximately 70% of the total Gulf of Alaska arrowtooth flounder biomass (1.9×106 t, age 3 and older)— the highest percentage in the world (Shuntov, 1964; Britt and Martin, 2001; Weinberg et al., 2002; Wilderbuer and Nichol, 2006).

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Sampling is a key element in the assessment of any fish stock. It is often one of the most expensive activities of the management process; thus, improved efficiency can result in significant cost savings. In most cases a two-phase sampling strategy is employed. Two commonly used versions of such stratified random schemes were simulated using a test population based on Atlantic cod, Gadus morhua. A 1 otolith per 1 cm length frequency currently used for many flatfish and some smaller gadoids and a 3 otolith per 3 cm length frequency currently used for many of the larger gadoids. No difference was detected in the age composition or mean length at age for either scheme; however, 10 percent fewer otoliths were collected in 1 for 1 sampling than 3 for 3. There was an improvement of between 30 and 60 percent in the coefficient of variation of the estimated catch numbers at age using the 1 for 1 compared with the 3 for 3 stratified sampling. For these reasons and other operational considerations, the 1 for 1 stratified random design of sampling appears to be superior.