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2008, Eos, Transactions American Geophysical Union
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This series presents cutting-edge studies and accumulated wisdom from Japan and Asia, with titles addressing many of the aqua-bioscience and aquatic environment fields that form the basis of fishery science. Most of our food originates on land, but we cannot overlook food from the sea. Fishery science provides us with substantial knowledgeknowledge of living organisms in water, their habitats and environment; the knowledge to utilize these organisms; the political and administrative knowledge to organize social activities and systems to distribute fishery products; and a technical and engineering knowledge of ships, fishing equipment, sea ports and harbors. The discipline covers a huge variety of subjects, and each subject includes basic and applicative aspects that are both related and essential to one another. For fishery science to prosper, none of them can be ignored. As a country with a long history of fish eating, Japan has created unique, world-class cultures and technologies in fisheries, aquaculture, aquatic environments, seafood science, and other fishery-related sciences. Through carefully selected state-of-the-art works on topics in the field of fishery science, this series aims to contribute to the development of fishery and the welfare of people around the globe. This is an official book series of the Japanese Society of Fisheries Science.
Aquatic Living Resources, 2008
We analysed the patterns of variation that characterize 33 catch time series of large pelagic fishes exploited by the Japanese and Taiwanese longline fisheries in the Indian Ocean from 1968 to 2003. We selected four species, the yellowfin (Thunnus albacares), the bigeye (T. obesus), the albacore (T. alalunga), and the swordfish (Xiphias gladius) and aggregated data into five biogeographic provinces of Longhurst (2001). We carried out wavelet analyses, an efficient method to study non-stationary time series, in order to get the time-scale patterns of each signals. We then compared and grouped the different wavelet spectra using a multivariate analysis to identify the factors (species, province or fleet) that may influence their clustering. We also investigated the associations between catch time series and a large-scale climatic index, the Dipole Mode Index (DMI), using cross wavelet analyses. Our results evidenced that the geographical province is more important than the species level when analyzing the 33 catch time series in the tropical Indian Ocean. The DMI further impacted the variability of tuna and swordfish catch time series at several periodic bands and at different temporal locations, and we demonstrated that the geographic locations modulated its impact. We discussed the consistency of time series fluctuations that reflect embedded information and complex interactions between biological processes, fishing strategies and environmental variability at different scales. . Nous avons analysé les patrons de variabilité qui caractérisent 33 séries temporelles de captures de grands poissons pélagiques exploités par les flottilles palangrières japonaise et taiwanaise dans l'océan Indien de 1968 à 2003. Nous avons sélectionné 4 espèces, l'albacore (Thunnus albacares), le patudo (T. obesus), le germon (T. alalunga) et l'espadon (Xiphias gladius). Les captures ont été agrégées dans cinq provinces biogéographiques définies par Longhurst (2001) et les séries temporelles résultantes ont été analysées par la méthode des ondelettes, une méthode « tempsfréquence » adaptée à l'étude de séries non-stationnaires. Les spectres d'ondelettes ont fait apparaître les fréquences caractéristiques contenues dans les signaux temporels. Ces spectres ont ensuite été comparés et groupés à l'aide d'une analyse multivariée permettant d'identifier les facteurs influant le plus la classification (espèce, province ou flottille). Les relations entre les séries de captures et un indice climatique global, le Dipole Mode Index (DMI), ont été étudiées par des analyses d'ondelettes bivariées et les co-spectres ont été comparés en utilisant la même approche. Nos résultats montrent que le facteur « province géographique » structure davantage les patrons de variations des 33 séries temporelles que le facteur « espèce ». L'impact du DMI sur la variabilité des séries de captures de thons et d'espadon a fait apparaître des bandes de fréquences caractéristiques (hautes et basses fréquences) à différentes périodes de temps. Là encore, la province géographique module l'impact de la variabilité climatique sur les séries de captures de thons et d'espadon. Les fluctuations de séries temporelles issues des statistiques de pêche reflètent donc un mélange d'informations caractérisé par des interactions complexes entre les processus biologiques, les stratégies de pêche et la variabilité environnementale à différentes échelles spatiales et temporelles. a Corresponding author: [email protected] Article published by EDP Sciences 278 A . Corbineau et al.: Aquat. Living Resour. 21, 277-285 (2008)
2011
Description of data: Demersal: Age compositions and length frequency of discards, as well as mean lengths, and weights at age for cod, whiting, haddock and saithe. For species that are not sampled for age (multispecies discards), discarded quantities are sampled. The fleets sampled are motor trawl, light trawl, demersal pair trawl, seine net, Nephrops trawl Pelagic: Age, length, weight and maturity for herring. Age, length, weight and maturity (2004 onwards) for mackerel. Nephrops: Length, weight and maturity. Data owner: Fishing vessel owners and skippers and FRS Data availability: Fully available if aggregated so that individual vessels cannot be identified. Multispecies discards are not publicly available. Recent papers describing or using relevant data:-NATION G ERMANY Type of data: Discards data Period covered: Some data are available prior to 1998, but not all electronic. Area covered: North Sea Description of data: Discards data by gear type and fleet, though fleet definitions have changed over time. Biological data (age, weight, maturity and abundance at length) are available for commercial species, though fewer data are available for non-commercial species Data owner: Data availability: Available to ICES Working Groups Recent papers describing or using relevant data: 4.5 Effort data Most nations will collect some form of effort data for the major fleets, though raw data are not generally available. Aggregated data are usually available for major gear types by ICES areas and month. Other data that may be available include: NATION: UK
2018
An assessment of the status of 1320 fish and invertebrate populations (or 'stocks') of 484 species exploited by fisheries in 232 Marine Ecoregions (MEs) overlapping with the Exclusive Economic Zones (EEZs) of 218 countries and their overseas territories was performed using the CMSY method applied to annual catches (1950-2014) reconstructed by the Sea Around Us, with some emphasis on the 64 MEs overlapping with the EEZs of countries where OCEANA operates. The main finding was that a large majority of the assessed populations (85%) had biomass below that associated with Maximum Sustainable Yield (BMSY), 38% were outside of safe biological limits (B < 0.5 BMSY) and 7% were collapsed (B < 0.2 BMSY). Thus, these populations would be expected to generate higher sustainable catches if allowed to rebuild. A preliminary conservative estimate gives the foregone catch for the examined stocks as 20 million tonnes (24%), when catches in 2014 are compared with 90% of MSY level catches. The 90% reduction accounts for the fact that predator-prey interactions make it impossible to achieve MSY for all stocks simultaneously. This study examined only stocks identified to species level. If the above percentage is scaled up to the total catch, this would amount to a preliminary estimate of about 26 million tonnes of foregone catch. As expected, cases with unreliable catch statistics generated questionable results and high uncertainties. In particular, the CMSY method, when applied to catch statistics from countries that 'manufactured' high catches in recent decades, suggested lower declines in biomass than likely occurred. This implies that the results presented herein are conservative, i.e., do not exaggerate declining trends in biomass. This study is preliminary in that informative priors could be provided only for fish and invertebrate populations in the waters of countries conducting systematic fisheries research on their major exploited populations. A plan is briefly presented on how this shortcoming will be mitigated in the second year of this project, which will also see the development of new features on the website of the Sea Around Us, allowing for the biomass estimates and other data from our stock assessments to be downloaded and/or the assessments to be rerun with different prior estimates. In the meantime, this report presents summaries of the status of some of the major stocks in the countries where OCEANA operates, while summaries (in form of PDFs) for all 2711 stocks may be found at www.seaaroundus.org.under under the respective MEs or EEZs. MATERIALS AND METHODS Reconstructed catches vs official catches The catch time series data used for the present study are based on FAO data, corrected and complemented through a procedure called 'catch reconstruction', documented in Zeller et al. (2007), Lam et al. (2016), Palomares et al. (2016) and Zeller et al. (2016). The actual reconstructions were largely performed on a per-country (or overseas territory) basis, with over 200 papers (Fisheries Centre Working Papers, chapters in Fisheries Centre Research Reports, book chapters and articles in peer-reviewed journals) documenting the time series reconstructions in 273 EEZs or parts thereof (see Pauly and Zeller 2016b). Herein, the catch of industrial, artisanal, subsistence and recreational fisheries of each country or territory was presented, based on catch and related data from FAO or the fisheries agency of the country or territory in question, complemented with data from other sectors as required to obtain a complete time series, from 1950-2010 (now updated to 2014) of catches by the above-mentioned sectors including estimates of illegal and previously unreported catches (see, e.g.
Journal of Ecology and Environment
Time series of ocean climate indices and catch records were used to identify the alternation patterns of pelagic fish populations in relation to climate regime shifts. During 1910-2008, an orderly alternation of dominant pelagic fish groups was observed in the Tsushima Warm Current (TWC; Yellow Sea-East China Sea-East Sea/Japan Sea) and Kuroshio-Oyashio Current (KOC; Northwestern Pacific) regions. After the collapse of herring fishery in the late 1920s, the sardine (A group) dominated in the 1930s, 3 other species (C group; Pacific saury, jack mackerel, and anchovy) dominated in the 1950s-1960s, chub mackerel (B group) dominated in the 1970s, and then sardine (A group) dominated again during cool regime in the 1980s. As sardine biomass decreased in association with the climate regime shift that occurred in the late 1980s, catches of C group immediately increased after the regime shift and remained at high levels during warm regime in the 1990s. Alternations of dominant fish groups occurred 6 times between 1910 and 2008. The dominant period of the 7 species lasted for 10-20 years. The catch of Pacific sardine in the TWC and KOC regions showed a negative correlation with the catch of the other 5 species (Pacific herring, anchovy, jack mackerel, Pacific saury, and common squid), suggesting that the abundance of the 5 species is strongly affected by the abundance of Pacific sardine in relation to the climate regime shifts. The total catch level of the 7 species in the KOC region was generally higher than that in the TWC region before 1991 but was lower after 1992, suggesting that the fish populations in the Pacific side are shifted to the TWC region by zonal oscillation of the oceanic conditions in relation to the climate regime shift in the late 1980s.
2019
Basic objective of fisheries research is to provide ample information on the status of fish stocks. This information is collected through various sampling procedures and the data are used to provide advice on the sustainable management of fish stocks, upon which the entire fishing industry depends. There are two main sources of data collected and used in fisheries research. These can be divided into fishery independent and fishery dependent data. The first usually involves monitoring the changes in distribution over time in the relative or absolute abundance of fish populations using vessel based surveys in a way that is not subject to the biases inherent in commercial fishery data. The collection and accurate interpretation of both fishery dependent and fishery independent data are of fundamental importance to our understanding of the fished species. Both are needed to gain an understanding of the magnitude of localized changes in fish communities, landings and productivity of the ...
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