Modelling risk areas in the North Sea for blooms of the invasive comb jelly Mnemiopsis leidyi A. Agassiz, 1865

Collingridge, Kate, van der Molen, Johan and Pitois, Sophie (2014) Modelling risk areas in the North Sea for blooms of the invasive comb jelly Mnemiopsis leidyi A. Agassiz, 1865. Aquatic Invasions, 9 (1). pp. 21-36. ISSN 1798-6540

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Abstract

Recent records of the invasive ctenophore Mnemiopis leidyi A. Agassiz, 1865 in the North Sea are a cause for concern due to the detrimental effects this invader has had on fish stocks in the Black and Caspian seas. The North Sea is a major fishing ground and has spawning and nursery areas for many important fish species. These may be affected by competition and predation from Mnemiopsis leidyi, so it is important to determine whether the species, having been introduced, is likely to become established and produce blooms. This study applies temperature, salinity, and food constraints to data from the GETM-ERSEM-BFM model to evaluate the suitability of the North Sea for survival and reproduction of this invasive species. Large parts of the North Sea were found to be suitable for Mnemiopsis leidyi reproduction in summer months, although in most areas the suitable time window would not allow completion of more than two life cycles. The highest risk areas were in southern coastal and estuarine regions and in the Skagerrak and Kattegat, due to a combination of high temperatures and high food concentrations. Importantly, food was found to limit winter survival and so may restrict the overwintering population. Continued monitoring of this species, especially in areas predicted to be at a high risk, will be essential to determine whether it is likely to become a problem in the North Sea.

Item Type: Article
Uncontrolled Keywords: ctenophore,invasive species,north sea,risk assessment,sea walnut,warty comb jelly
Faculty \ School: Faculty of Science > School of Environmental Sciences
Related URLs:
Depositing User: Pure Connector
Date Deposited: 27 May 2016 16:00
Last Modified: 22 Apr 2020 01:26
URI: https://ueaeprints.uea.ac.uk/id/eprint/59118
DOI: 10.3391/ai.2014.9.1.02

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