scholarly journals Possible resting cysts ofDissodinium pseudolunulaSwift ex Elbrächter et Drebes in the Northeast Atlantic and the North Sea

1983 ◽  
Vol 18 (1) ◽  
pp. 61-67 ◽  
Author(s):  
A.W.G. John ◽  
P.C. Reid
2015 ◽  
Vol 73 (4) ◽  
pp. 1115-1126 ◽  
Author(s):  
Jeroen van der Kooij ◽  
Sascha M.M. Fässler ◽  
David Stephens ◽  
Lisa Readdy ◽  
Beth E. Scott ◽  
...  

Abstract Fisheries independent monitoring of widely distributed pelagic fish species which conduct large seasonal migrations is logistically complex and expensive. One of the commercially most important examples of such a species in the Northeast Atlantic Ocean is mackerel for which up to recently only an international triennial egg survey contributed to the stock assessment. In this study, we explore whether fisheries acoustic data, recorded opportunistically during the English component of the North Sea International Bottom Trawl Survey, can contribute to an improved understanding of mackerel distribution and provide supplementary data to existing dedicated monitoring surveys. Using a previously published multifrequency acoustic mackerel detection algorithm, we extracted the distribution and abundance of schooling mackerel for the whole of the North Sea during August and September between 2007 and 2013. The spatio-temporal coverage of this unique dataset is of particular interest because it includes part of the unsurveyed summer mackerel feeding grounds in the northern North Sea. Recent increases in landings in Icelandic waters during this season suggested that changes have occurred in the mackerel feeding distribution. Thus far it is poorly understood whether these changes are due to a shift, i.e. mackerel moving away from their traditional feeding grounds in the northern North Sea and southern Norwegian Sea, or whether the species' distribution has expanded. We therefore explored whether acoustically derived biomass of schooling mackerel declined in the northern North Sea during the study period, which would suggest a shift in mackerel distribution rather than an expansion. The results of this study show that in the North Sea, schooling mackerel abundance has increased and that its distribution in this area has not changed over this period. Both of these findings provide, to our knowledge, the first evidence in support of the hypothesis that mackerel have expanded their distribution rather than moved away.


1999 ◽  
Vol 64 (4) ◽  
pp. 267-285 ◽  
Author(s):  
J.M Baker ◽  
C.E Reeves ◽  
P.D Nightingale ◽  
S.A Penkett ◽  
S.W Gibb ◽  
...  

2015 ◽  
Vol 11 (8) ◽  
pp. 804-813 ◽  
Author(s):  
Anna Dietrich ◽  
Tatjana Hager ◽  
Regine Bönsch ◽  
Charlotte Winkelmann ◽  
Andreas Schmidt ◽  
...  

2005 ◽  
Vol 18 (3) ◽  
pp. 465-479 ◽  
Author(s):  
Ralf Weisse ◽  
Hans von Storch ◽  
Frauke Feser

Abstract An analysis of the storm climate of the northeast Atlantic and the North Sea as simulated by a regional climate model for the past 44 yr is presented. The model simulates the period 1958–2001 driven by the National Centers for Environmental Prediction–National Center for Atmospheric Research (NCEP–NCAR) reanalysis. Comparison with observations shows that the model is capable of reproducing impact-related storm indices such as the number of severe and moderate storms per year or the total number of storms and upper intra-annual percentiles of near-surface wind speed. The indices describe both the year-to-year variability of the frequency, as well as changes in the average intensity of storm events. Analysis of these indices reveals that the average number of storms per year has increased near the exit of the North Atlantic storm track and over the southern North Sea since the beginning of the simulation period (1958), but the increase has attenuated later over the North Sea and the average number of storms per year has been decreasing over the northeast Atlantic since about 1990–95. The frequency of the most severe storms follows a similar pattern over the northeast North Atlantic while too few severe storms occurred in other areas of the model domain, preventing a statistical analysis for these areas.


1984 ◽  
Vol 41 (3) ◽  
pp. 304-306 ◽  
Author(s):  
J. M. Colebrook ◽  
G. A. Robinson ◽  
H. G. Hunt ◽  
J. Roskell ◽  
A. W. G. John ◽  
...  

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