Éditeur(s) : The National Academy of Sciences of the USA
Résumé : The patterns of variations in fisheries time series are known to result from a complex combination of species and fisheries dynamics all coupled with environmental forcing (including climate, trophic interactions, etc.). Disentangling the relative effects of these factors has been a major goal of fisheries science for both conceptual and management reasons. By examining the variability of 169 tuna and billfish time series of catch and catch per unit effort (CPUE) throughout the Atlantic as well as their linkage to the North Atlantic Oscillation (NAO), we find that the importance of these factors differed according to the spatial scale. At the scale of the entire Atlantic the patterns of variations are primarily spatially structured, whereas at a more regional scale the patterns of variations were primarily related to the fishing gear. Furthermore, the NAO appeared to also structure the patterns of variations of tuna time series, especially over the North Atlantic. We conclude that the patterns of variations in fisheries time series of tuna and billfish only poorly reflect the underlying dynamics of these fish populations; they appear to be shaped by several successive embedded processes, each interacting with each other. Our results emphasize the necessity for scientific data when investigating the population dynamics of large pelagic fishes, because CPUE fluctuations are not directly attributable to change in species' abundance.
Proceedings of the National Academy of Sciences of the United States of America (0027-8424) (The National Academy of Sciences of the USA), 2008-04 , Vol. 105 , N. 14 , P. 5420-5425

Droits : 2008 by The National Academy of Sciences of the USA
http://archimer.ifremer.fr/doc/2008/publication-3984.pdf
DOI:10.1073/pnas.0709034105
http://archimer.ifremer.fr/doc/00000/3984/

Éditeur(s) : Pergamon-elsevier Science Ltd
Résumé : Environmental variables affect many processes of fish biology and their fluctuations are thought to be one of the main factors in variability of fish stocks. Recent work has shown that the variability of the environment in the frequency domain (i.e., the environmental noise) can interact with endogenous processes (e.g., density dependence) and affect fluctuations of animal populations. In this study, we investigate whether fluctuations of large pelagics' time series are affected by environmental noise and whether life-history traits of species modulate this response. By analysing several environmental variables and a large dataset of tuna and billfish catch per unit effort (CPUE) time series from the Atlantic, we show that in environments dominated by long-term fluctuations (i.e., red noise) CPUE time series were less variable and displayed smoother fluctuations. Furthermore, larger, slower-growing and later-maturing species were found to be more sensitive to changes of environmental noise than species with a shorter turnover rate. Our results suggest that environmental noise interacts with fish biology; understanding how it is integrated into biological processes might provide important insights to understand the responses of fish stocks dynamics to exploitation and environmental changes. (C) 2010 Elsevier Ltd. All rights reserved.
Progress In Oceanography (0079-6611) (Pergamon-elsevier Science Ltd), 2010-07 , Vol. 86 , N. 1-2 , P. 267-275

Droits : 2010 Elsevier B.V. All rights reserved.
http://archimer.ifremer.fr/doc/00011/12230/9083.pdf
DOI:10.1016/j.pocean.2010.04.025
http://archimer.ifremer.fr/doc/00011/12230/

Éditeur(s) : Blackwell science
Résumé : The trophic level mean and variance, and the degree of omnivory for five Celtic Sea fish predators were estimated using a database of stomach content records characterized by a high level of taxonomic resolution. The predators occupied a high position in the food web, i.e. 4.75 for Atlantic cod Gadus morhua, 444 for haddock Melanogrammus aeglefinus, 4.88 for European hake Merluccius merluccius, 5.00 for megrim Lepidorhombus whiffiagonis and 5.27 for whiting Merlangius merlangus. The level of taxonomic resolution of the prey did not greatly affect mean T-L predator values; an effect on variance was evident, low resolution masking intra-population variability in T-L. Generalized additive models (GAM) were used to explain the variability of predator T-L caused by environmental variables (international Council for the Exploration of the Sea, ICES, division and season) and predator characteristics (total length, L-T). Significant year, location season and interaction effects were found for some species and with L-T, at the scale of ICES subdivision. The species-specific variability of T-L could be due to spatio-temporal variations in prey availability and in predator selectivity following ontogenetic changes. Omnivorous fish T-L. was less affected by spatio-temporal variations. In addition, results showed that the omnivory index and T-L variability provide dissimilar information on predator feeding strategy. Combining information on T-L. variability and omnivory allowed between within individual and between-individual components contributing to trophic niche width to be separated and the type of generalization of fish predators to be identified. (c) 2008 The Authors Journal compilation (c) 2008 The Fisheries Society of the British Isles.
Journal of Fish Biology (0022-1112) (Blackwell science), 2008-09 , Vol. 73 , N. 4 , P. 763-781

Droits : 2008 Wiley Blackwell Publishing, Inc. The Fisheries Society of the British Isles
http://archimer.ifremer.fr/doc/2008/publication-4699.pdf
DOI:10.1111/j.1095-8649.2008.01938.x
http://archimer.ifremer.fr/doc/00000/4699/

Éditeur(s) : Pergamon-elsevier Science Ltd
Résumé : Catch data of large pelagic fish such as tuna, swordfish and billfish are highly variable ranging from short to long term. Based on fisheries data, these time series are noisy and reflect mixed information on exploitation (targeting, strategy, fishing power), population dynamics (recruitment, growth, mortality, migration, etc.), and environmental forcing (local conditions or dominant climate patterns). In this work, we investigated patterns of variation of large pelagic fish (i.e. yellowfin tuna, bigeye tuna, swordfish and blue marlin) in Japanese longliners catch data from 1960 to 2004. We performed wavelet analyses on the yearly time series of each fish species in each biogeographic province of the tropical Indian and Atlantic Oceans. In addition, we carried out cross-wavelet analyses between these biological time series and a large-scale climatic index, i.e. the Southern Oscillation Index (Sol). Results showed that the biogeographic province was the most important factor structuring the patterns of variability of Japanese catch time series. Relationships between the SOI and the fish catches in the Indian and Atlantic Oceans also pointed out the role of climatic variability for structuring patterns of variation of catch time series. This work finally confirmed that Japanese longline CPUE data poorly reflect the underlying population dynamics of tunas. (C) 2010 Elsevier Ltd. All rights reserved.
Progress In Oceanography (0079-6611) (Pergamon-elsevier Science Ltd), 2010-07 , Vol. 86 , N. 1-2 , P. 276-282

Droits : 2010 Elsevier B.V. All rights reserved.
http://archimer.ifremer.fr/doc/00011/12231/9029.pdf
DOI:10.1016/j.pocean.2010.04.019
http://archimer.ifremer.fr/doc/00011/12231/

Éditeur(s) : Agrocampus Ouest
Résumé : The origin of fish stocks variability is a key question in fisheries science. The exploitation indeed has an important effect in terms of biomass reduction, but environmental forcing is of central interest as it affects numerous key biological processes. Recent theoretical results have shown that the nature of the environmental fluctuations, the environmental noise, has important ecological consequences on populations and particularly on their fluctuations. In addition the effects of exploitation, that are not a simple removal of individuals but also profoundly modifies the demography, the structure and the trophic interactions of fish stocks, can interact with environmental effects. Through an extensive analysis of time series we aim at understanding the effects of environmental noise on fish stocks variability, according to their biological characteristics (life-history traits) and their exploitation. A technique of time series comparison allows to propose that the fluctuations of Atlantic large pelagics are inherited from the interaction between environmental effects, endogenous dynamics and exploitation. We then show that the colour of environmental noise affects the variability of time series, its effects depending on the life-history traits of species. Finally, preliminary results on bentho-demersal and pelagic stocks from the North Atlantic suggest that the exploitation increases the sensitivity of fish stocks to the colour of environmental noise and affects their variability, according to their life-history traits.
L'origine de la variabilité des stocks de pêche est une question centrale en halieutique. Si l'exploitation tient un rôle important dans la réduction de biomasse, le forçage environnemental affecte de nombreux processus biologiques clés. Des résultats théoriques récents ont montré que la nature des fluctuations environnementales, la couleur du bruit environnemental, avait des implications écologiques importantes sur les populations et notamment sur leurs fluctuations. De plus, les effets environnementaux peuvent agir en interaction avec l'exploitation qui ne consiste pas en un simple prélèvement d'individus, mais qui modifie profondément la démographie, la structure et les interactions trophiques des stocks. Au travers de l'analyse extensive de séries temporelles, on essaye ici de comprendre les effets de la couleur du bruit environnemental sur la variabilité des stocks en fonction de leurs caractéristiques biologiques (traits d'histoire de vie) et de leur état d'exploitation. Le développement d'une technique de comparaison des séries temporelles permet de proposer que les fluctuations des grands pélagiques de l'Atlantique sont héritées de l'interaction entre effets environnementaux, dynamique interne et dynamique de l'exploitation. On montre ensuite que la couleur du bruit environnemental affecte la variabilité des séries temporelles, mais que son effet dépend des traits d'histoire de vie des espèces. Enfin, des résultats préliminaires sur les stocks bentho-démersaux et pélagiques de l'Atlantique Nord, suggèrent que l'exploitation augmente la sensibilité des stocks à la couleur du bruit environnemental et affecte leur variabilité en fonction de leurs traits d'histoire de vie.

Droits : info:eu-repo/semantics/openAccess
http://archimer.ifremer.fr/doc/2008/these-6596.pdf
http://archimer.ifremer.fr/doc/00000/6596/