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Cnidaria in UK coastal waters: description of spatio-temporal patterns and inter-annual variability
Pikesley, S.K.; Godley, B.J.; Ranger, S.; Richardson, P.B.; Witt, M.J. (2015). Cnidaria in UK coastal waters: description of spatio-temporal patterns and inter-annual variability. J. Mar. Biol. Ass. U.K. 94(Spec. Issue 7): 1401-1408. hdl.handle.net/10.1017/S0025315414000137
In: Journal of the Marine Biological Association of the United Kingdom. Cambridge University Press/Marine Biological Association of the United Kingdom: Cambridge. ISSN 0025-3154, more
Peer reviewed article  

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Keywords
    Life cycle; Hydrozoa [WoRMS]; Scyphozoa [WoRMS]; Marine
Author keywords
    Citizen science; Jellyfish; Public sightings

Authors  Top 
  • Pikesley, S.K.
  • Godley, B.J., more
  • Ranger, S.
  • Richardson, P.B.
  • Witt, M.J.

Abstract
    Concern has been expressed over future biogeographical expansion and habitat capitalization by species of the phylum Cnidaria, as this may have negative implications on human activities and ecosystems. There is, however, a paucity of knowledge and understanding of jellyfish ecology, in particular species distribution and seasonality. Recent studies in the UK have principally focused on the Celtic, Irish and North Seas, but all in isolation. In this study we analyse data from a publicly-driven sightings scheme across UK coastal waters (2003–2011; 9 years), with the aim of increasing knowledge on spatial and temporal patterns and trends. We describe inter-annual variability, seasonality and patterns of spatial distribution, and compare these with existing historic literature. Although incidentally-collected data lack quantification of effort, we suggest that with appropriate data management and interpretation, publicly-driven, citizen-science-based, recording schemes can provide for large-scale (spatial and temporal) coverage that would otherwise be logistically and financially unattainable. These schemes may also contribute to baseline data from which future changes in patterns or trends might be identified. We further suggest that findings from such schemes may be strengthened by the inclusion of some element of effort-corrected data collection

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