Complex interplays among population dynamics, environmental forcing, and exploitation in fisheries
|Author(s)||Rouyer Tristan1, 3, Fromentin Jean-Marc1, Menard Felix2, Calzelles B4, 5, Briand K6, Pianet R2, Planque Benjamin7, Stenseth N3, 8|
|Affiliation(s)||1 : Ctr Rech Halieut Mediterraneen & Trop, Inst Francais Rech Exploitat Mer, F-34203 Sete, France.
2 : Ctr Rech Halieut Mediterraneen & Trop, Inst Rech Dev, F-34203 Sete, France.
3 : Univ Oslo, Ctr Ecol & Evolutionary Synth, Dept Biol, N-0316 Oslo, Norway.
4 : Ecole Normale Super, Ctr Natl Rech Sci, UMR 7625, F-75230 Paris 05, France.
5 : Ile France, Inst Rech Dev, Unite Rech Ctr, F-93142 Bondy, France.
6 : Secretariat Pacific Community, Noumea 98848, New Caledonia.
7 : Inst Francais Rech Exploitat Mer, Dept Ecol & Modeles Halieut, F-44311 Nantes 03, France.
8 : Inst Marine Res, Flodevigen Res Stn, Dept Coastal Zone Studies, N-4817 His, Norway.
|Source||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|
|WOS© Times Cited||59|
|Keyword(s)||Time series analysis, North Atlantic Oscillation, Atlantic tuna|
|Abstract||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.|