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  • 1
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    Wiley
    In:  Journal of Applied Ecology, 36 (1). pp. 101-110.
    Publication Date: 2021-06-11
    Description: 1. Monthly series of abundance indexes for the English Channel squid stock, based on fishery statistics of the United Kingdom (1980–93) and France (1986–96), were compared with water temperature data. The two objectives of the study were to test empirical predictive models and to analyse the stock–environment relationship at various time scales; both correlation and time-series statistical techniques were applied. Sea surface temperature (SST) showed inter-annual fluctuations and month-to-month auto-correlation in addition to the annual cycle. 2. Trends in squid landings and temperature at the annual scale were found to be related, whatever the statistical method used (moving averages, cumulative functions or regression using averaged data). 3. Variable selection applied in a ‘multi-month’ model suggested that fishing season indexes could be predicted from temperatures observed in the previous winter. The link between mild winter conditions and cohort success in winter/spring spawning species suggested that early life survival (and/or growth) was involved. This empirical model is a first step in the development of environment-predicted recruitment indexes useful for management advice. 4. Seasonal decomposition was performed on both the squid resource data and SST data in search of short-term relationships. In spite of the flexibility of the loliginid life-cycle, no significant relationship was found between squid seasonally adjusted indexes and temperature anomalies in the previous months. This underlined the conclusion that temperature effect on cohort success was not constant throughout the year.
    Type: Article , PeerReviewed
    Format: text
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  • 2
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    Societe Francaise d' Ichtyologie
    In:  In: Proceedings of the 5th Indo-Pacific Fisheries Conference, Noumea, New Caledonia, 3-8 November 1997. , ed. by Séret, B. and Sire, J. Y. Societe Francaise d' Ichtyologie, Paris, France, pp. 647-656.
    Publication Date: 2020-04-02
    Description: Absolule and relative values of brain weight are now available for 1174 species of fishes, representing 45 taxonomic orders. The original FishBase "Brains" data was assembled by the research team of Bauchot and colleagues, to which the present report adds data for species representing several additional major taxonomic groups. This database is part of the FíshBase 97 package which provides researchers with a tool to explore lhe functional meaning of absolute and relative brain size díversily, in comparison with phylogenetic position, life history mode, locomotion, habitat, and other behavioral parameters. Several results are provided as an example of the use of these data. Galeomorph sharks and batoid rays possess the largest brains among fishes. and elongate forms with anguilliform locomotion (e.g.. hagfishes. lampreys, lrue eels, carapids, zoarcids) possess the smallest relative brain sizes. Among teleost fishes, Osteoglossomorphs possess the largest relative brain sizes. Brain size correlations with oxygen consumption suggest that larger brains consume proportionately more oxygen, or that active fish with higher metabolic rates have larger brains
    Type: Book chapter , NonPeerReviewed
    Format: text
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  • 3
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    Societe Francaise d' Ichtyologie
    In:  In: Proceedings of the 5th Indo-Pacific Fisheries Conference, Noumea, New Caledonia, 3-8 November 1997. , ed. by Séret, B. and Sire, J. Y. Societe Francaise d' Ichtyologie, Paris, France, pp. 381-384.
    Publication Date: 2020-04-01
    Type: Book chapter , NonPeerReviewed
    Format: text
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  • 4
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    Societe Francaise d' Ichtyologie
    In:  In: Proceedings of the 5th Indo-Pacific Fisheries Conference, Noumea, New Caledonia, 3-8 November 1997. , ed. by Séret, B. and Sire, J. Y. Societe Francaise d' Ichtyologie, Paris, France, pp. 385-392.
    Publication Date: 2020-04-01
    Type: Book chapter , NonPeerReviewed
    Format: text
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  • 5
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    Deutsches GeoForschungsZentrum GFZ
    In:  Scientific Technical Report STR | Geothermie-Report
    Publication Date: 2021-12-14
    Language: German
    Type: info:eu-repo/semantics/report
    Format: application/pdf
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