How benthic habitats and bottom trawling affect trait composition in the diet of seven demersal and benthivorous fish species in the North Sea

2018 ◽  
Vol 142 ◽  
pp. 132-146 ◽  
Author(s):  
Jacqueline D. Eggleton ◽  
Jochen Depestele ◽  
Andrew J. Kenny ◽  
Stefan G. Bolam ◽  
Clement Garcia
Keyword(s):  
North Sea ◽  
Fish Species ◽  
Benthic Habitats ◽  
Benthivorous Fish ◽  
Bottom Trawling ◽  
The North ◽  
The North Sea

scholarly journals Modelling the direct impact of bottom trawling on the North Sea fish community to derive estimates of fishing mortality for non-target fish species

2009 ◽  
Vol 66 (9) ◽  
pp. 1985-1998 ◽  
Author(s):  
G. J. Piet ◽  
R. van Hal ◽  
S. P. R. Greenstreet
Keyword(s):  
North Sea ◽  
Fish Species ◽  
Fish Community ◽  
Direct Impact ◽  
Fishing Mortality ◽  
Bottom Trawling ◽  
The North ◽  
Target Fish ◽  
The North Sea ◽  
Sea Fish

Abstract Piet, G. J., van Hal, R., and Greenstreet, S. P. R. 2009. Modelling the direct impact of bottom trawling on the North Sea fish community to derive estimates of fishing mortality for non-target fish species. – ICES Journal of Marine Science, 66: 1985–1998. This study introduces a spatially explicit model that combines abundance data for all the main fish species in the demersal North Sea fish community with international effort data and estimates of gear-, species-, and size-dependent catch efficiency to determine the mortality of non-target fish species caused by bottom trawl fisheries and its spatial variation. Where necessary information was lacking, assumptions were made, and a sensitivity analysis performed to examine the impact of these issues on model results. Model outcomes were validated using international landings and discard data for five target species: cod, haddock, whiting, sole, and plaice. This showed that depending on its configuration, the model could reproduce recorded landings and discards of these species reasonably well. This suggests that the model could be used to simulate rates of fishing mortality for non-target fish species, for which few data are currently available. Sensitivity analyses revealed that model outcomes were most strongly influenced by the estimates of gear catch efficiency and the extent to which the distributions of fishing effort and each species overlapped. Better data for these processes would enhance the contribution that this type of model could make in supporting an ecosystem approach to fisheries management.

Variability in behaviour of four fish species attracted to baited underwater cameras in the North Sea

Hydrobiologia ◽  
2011 ◽  
Vol 670 (1) ◽  
pp. 23-34 ◽  
Author(s):  
Iñigo Martinez ◽  
Emma G. Jones ◽  
Sarah L. Davie ◽  
Francis C. Neat ◽  
Ben D. Wigham ◽  
...  
Keyword(s):  
North Sea ◽  
Fish Species ◽  
The North ◽  
Underwater Cameras ◽  
The North Sea

Entering uncharted waters: Long-term dynamics of two data limited fish species, turbot and brill, in the North Sea

2013 ◽  
Vol 84 ◽  
pp. 87-95 ◽  
Author(s):  
Tina K. Kerby ◽  
William W.L. Cheung ◽  
Cock van Oosterhout ◽  
Georg H. Engelhard
Keyword(s):  
North Sea ◽  
Fish Species ◽  
The North ◽  
The North Sea

scholarly journals Impact of additional small-scale survey data on the geostatistical analyses of demersal fish species in the North Sea

2005 ◽  
Vol 69 (4) ◽  
pp. 587-602 ◽  
Author(s):  
Gerd Peter Zauke ◽  
Vanessa Stelzenmüller ◽  
Siegfried Ehrich
Keyword(s):  
Survey Data ◽  
North Sea ◽  
Fish Species ◽  
Demersal Fish ◽  
Small Scale ◽  
The North ◽  
The North Sea

A Comparison of the Ecological Risks from Fisheries and Pollution to the North Sea Biota

1991 ◽  
Vol 24 (10) ◽  
pp. 147-153 ◽  
Author(s):  
E. Turkstra ◽  
M. C. Th. Scholten ◽  
C. T. Bowmer ◽  
H. P. M. Schobben
Keyword(s):  
North Sea ◽  
Ecological Risk ◽  
Fish Species ◽  
Comparative Evaluation ◽  
Causative Factor ◽  
Ecological Risks ◽  
Analysis Framework ◽  
The North ◽  
The North Sea ◽  
Ecological Risk Analysis

A prototype of the ecological risk analysis framework REFEREE is used to demonstrate a comparative evaluation of the effects of three main perturbing factors on the functioning of the North Sea ecosystem. Fisheries obviously have a large impact on fish species: some are reduced, others are increased in density. Fisheries also contribute substantially to the decline of mammals, although pollution is the main causative factor in their demise and that of birds. Oddly, some fish species appear to benefit from contamination. Eutrophication causes an increase in crustaceans, polychaetes, coelenterates and meiofauna, and a decrease in echinoderms and molluscs. Sole is one of the few fish species that appears to benefit from eutrophication, the others are suppressed.

scholarly journals Indicator-based status assessment of commercial fish species in the North Sea according to the EU Marine Strategy Framework Directive (MSFD)

2013 ◽  
Vol 70 (3) ◽  
pp. 694-706 ◽  
Author(s):  
Wolfgang Nikolaus Probst ◽  
Matthias Kloppmann ◽  
Gerd Kraus
Keyword(s):  
North Sea ◽  
Fish Species ◽  
Marine Strategy Framework Directive ◽  
Commercial Fish ◽  
Fish Stocks ◽  
The North ◽  
The Status ◽  
Status Assessment ◽  
The North Sea ◽  
The Eu

Abstract Probst, W. N., Kloppmann, M., and Kraus, G. Indicator-based status assessment of commercial fish species in the North Sea according to the EU Marine Strategy Framework Directive (MSFD). – ICES Journal of Marine Science, 70: 694–706. The EU Marine Strategy Framework Directive (MSFD) is structured into eleven descriptors of good environmental status (GES). For each descriptor the current status of the marine environment should be assessed against its GES using ecosystem criteria and indicators. Within Descriptor 3 (D3) the MSFD addresses the status of exploited fish stocks according to three criteria (exploitation rate, stock size and size structure). This study performed an MSFD-compliant assessment of exploited fish stocks in the North Sea by aggregating data from analytical stock assessments and scientific research surveys to calculate indicator metrics for each criterion within each stock time-series. A stock achieved GES, when each indicator for each criterion had a good status. Of 43 assessed fish stock suggested by the EU Data Collection Framework, 63% (27) achieved GES. Though the MSFD explicitly demands that all exploited fish stocks achieve GES, this demand may be challenged by reality, because the status of exploited stocks depends not only on fishing impacts, but also on environmental conditions and ecological interactions. Therefore an alternative approach based on binomial distributions is presented to define limits for GES at the descriptor level. The implications and pitfalls of the applied assessment methods are discussed.

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