Variability and connectivity of plaice populations from the Eastern North Sea to the Western Baltic Sea, and implications for assessment and management

Ulrich, Clara; Boje, Jesper; Cardinale, Massimiliano; Gatti, Paul; LeBras, Quentin; Andersen, Michael; Hemmer‐Hansen, Jakob; Hintzen, Niels T.; Jacobsen, Jonathan B.; Jönsson, Patrik; Miller, David; Nielsen, Einar Eg; Rijnsdorp, A.D.; Sköld, Mattias; Svedäng, Henrik; Wennhage, Håkan

doi:10.1016/j.seares.2013.04.007

Cited by 16 publications

(9 citation statements)

References 37 publications

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“…These findings are in line with tagging studies and previous findings about the general circulation of the North Sea (e.g., Hainbucher et al, 1987) or model studies on sandeel in the same area (Christensen et al, 2008). The plaice scenarios further indicate that the fraction of larvae that reach the Baltic Sea or the Skagerrak is limited which is in line with recent management plans that propose to separate the North Sea and the Skagerrak population due to spatial separation (Ulrich et al, 2013).…”

Section: Consequences For Ecological Modelling Studiessupporting

confidence: 90%

Variation that can be expected when using particle tracking models in connectivity studies

Hufnagl

Payne

Lacroix

et al. 2017

Journal of Sea Research

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Hydrodynamic Ocean Circulation Models and Lagrangian particle tracking models are valuable tools e.g. in coastal ecology to identify the connectivity between offshore spawning and coastal nursery areas of commercially important fish, for risk assessment and more for defining or evaluating marine protected areas. Most studies are based on only one model and do not provide levels of uncertainty. Here this uncertainty was addressed by applying a suite of 11 North Sea models to test what variability can be expected concerning connectivity. Different notional test cases were calculated related to three important and well-studied North Sea fish species: herring (Clupea harengus), and the flatfishes sole (Solea solea) and plaice (Pleuronectes platessa). For sole and plaice we determined which fraction of particles released in the respective spawning areas would reach a coastal marine protected area. For herring we determined the fraction located in a wind park after a predefined time span. As temperature is more and more a focus especially in biological and global change studies, furthermore inter-model variability in temperatures experienced by the virtual particles was determined. The main focus was on the transport variability originating from the physical models and thus biological behavior was not included. Depending on the scenario, median experienced temperatures differed by 3. °C between years. The range between the different models in one year was comparable to this temperature range observed between modelled years. Connectivity between flatfish spawning areas and the coastal protected area was highly dependent on the release location and spawning time. No particles released in the English Channel in the sole scenario reached the protected area while up to 20 of the particles released in the plaice scenario did. Interannual trends in transport directions and connectivity rates were comparable between models but absolute values displayed high variations. Most models showed systematic biases during all years in comparison to the ensemble median, indicating that in general interannual variation was represented but absolute values varied. In conclusion: variability between models is generally high and management decisions or scientific analysis using absolute values from only one single model might be biased and results or conclusions drawn from such studies need to be treated with caution. We further concluded that more true validation data for particle modelling are required. © 2017 Elsevier B.V

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Section: Consequences For Ecological Modelling Studiessupporting

confidence: 90%

Variation that can be expected when using particle tracking models in connectivity studies

Hufnagl

Payne

Lacroix

et al. 2017

Journal of Sea Research

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“…Boundaries for management units should be defined using stock identification studies, to ensure that the management units correspond to meaningful biological entities (e.g. Palsbøll et al, 2007;Cope and Punt, 2009;Machado-Schiaffino et al, 2011;Ulrich et al, 2013). The concept of a fish stock is basic for fisheries management, as it forms the basic unit on which assessments are performed to evaluate the status of these stocks and propose appropriate management measures (Begg et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Implications of stock recovery for a neighbouring management unit: experience from the Baltic cod

Eero

Hemmer‐Hansen

Hüssy

2014

ICES Journal of Marine Science

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Cod in the Baltic Sea is assessed and managed as two separate stocks, i.e. eastern and western Baltic cod. The eastern Baltic cod has recently started to recover after several decades of severe depletion. In the present study, we suggest that the recovery of the eastern Baltic cod population has also substantially increased cod abundance in a specific area of the adjacent western Baltic management unit. This is investigated through long time-series of spatially resolved stock assessment data supplemented by genetic analyses of origin of the cod currently found in the transition area between the two populations. Due to immigrating cod from the east, there are currently large spatial differences in cod abundance and mean weight in the western Baltic management unit that raise new management concerns. First, the high abundance of cod of eastern origin found in the western Baltic management unit can mask the relatively poor state of the western Baltic cod population. Second, the current fishing mortality estimates for the entire western Baltic management unit, used as basis for fisheries management, are difficult to interpret as these are highly influenced by mixing of biological populations and the spatial distribution of fisheries.

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“…The transitional nature of the study area means that there is potential for different rates of colonisation in juvenile habitats by populations from the brackish Baltic in the south (Petereit et al, 2014) and marine populations in the north (Ulrich et al, 2013). Whilst salinity, another covariate, exhibits a large gradient with latitude, close to the coast local and regional inflows of terrestrial water cause large perturbations to this overall trend.…”

Section: Inclusion Of the Indirect Predictors Latitude And Agementioning

confidence: 99%

Juvenile fish habitat across the inner Danish waters: Habitat association models and habitat growth models for European plaice, flounder and common sole informed by a targeted survey

Brown

Kokkalis

Støttrup

2019

Journal of Sea Research

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Variability and connectivity of plaice populations from the Eastern North Sea to the Western Baltic Sea, and implications for assessment and management

Cited by 16 publications

References 37 publications

Variation that can be expected when using particle tracking models in connectivity studies

Variation that can be expected when using particle tracking models in connectivity studies

Implications of stock recovery for a neighbouring management unit: experience from the Baltic cod

Juvenile fish habitat across the inner Danish waters: Habitat association models and habitat growth models for European plaice, flounder and common sole informed by a targeted survey

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