Ocean Dynamics

, 58:169 | Cite as

A statistical analysis of climate variability and ecosystem response in the German Bight

  • Merja H. Schlüter
  • Agostino Merico
  • Karen H. Wiltshire
  • Wulf Greve
  • Hans von Storch
Article

Abstract

We compiled homogeneous long-term time series comprising 39 variables representing the German Bight and for the period 1975–2004. A diverse set of variables was selected to cover multiple trophic levels and different environmental forcing thus to examine long-term changes in this coastal region. Previous studies have hypothesised the presence of regime shifts in observations extending over the entire North Sea. Focusing on a smaller spatial scale, and closer to the coast, we investigated the major modes of variability in the compiled time series using principal component analysis. The results obtained confirm a previously identified regime shift in the North Sea in 1987/1988 and suggest that the German Bight is dominantly characterised by long-term modes of variability. In the German Bight, the shift of 1987/1988 is driven primarily by temperature, Gulf Stream index, frost days and Secchi depth. Changes in some of the ecosystem variables (plankton and fish) appear to be related to changes in these driving variables. In particular, we documented strong positive correlations between the long-term trend showed by the first principal component and herring, Noctiluca scintillans, and, to a lesser extent, Pleurobrachia pileus. Two gadoids, namely cod and saithe, showed negative correlations with the observed long-term mode of variability. Changes in the sum of five small calanoid copepods were, however, less marked. Phosphate and ammonium exhibited a decreasing trend over the last 30 years. Diatoms and Calanus helgolandicus did not show evidence of changes in concert to this trend. Specific analyses of the data divided into three different subsets (biological, climatic and chemical) characterise the climate of the German Bight as highly dynamic also on short timescales (a few years) as compared to much smoother biological and chemical components. The dynamic regime of the German Bight taken together with a low correlation between the major mode of variability and phytoplankton and zooplankton data suggests that the lower trophic levels of this ecosystem are remarkably resilient.

Keywords

Climate change German Bight Principal component analysis Marine ecosystem Long-term trend Helgoland Roads 

Notes

Acknowledgments

The authors would like to thank Kai Wirtz for fruitful comments. We also thank Eduardo Zorita for providing his software for CCA and for his constructive suggestions. We thank the German Weather Service (DWD) for providing the relevant meteorological, the BSH for the gridded SST and ICES for the fish data. We thank the crews of the research vessels ‘Aade’ and ‘Ellenbogen’ of the BAH, as well as Silvia Janisch and Peter Mangelsdorf for their unfailing provision of samples and data. This study was in part funded by the Priority programme AQUASHIFT of the German Science Foundation (DFG). We like to thank two anonymous referees for comments that helped to improve the manuscript.

References

  1. Aebischer NJ, Coulson JC, Coolebrook JM (1990) Parallel long-term trends across four marine trophic levels and weather. Nature 347:753–755CrossRefGoogle Scholar
  2. Beare DJ, Batten S, Edwards M, Reid DG (2002) Prevalence of boreal Atlantic, temperate Atlantic and neritic zooplankton in the North Sea between 1958 and 1998 in relation to temperature, salinity, stratification intensity and Atlantic inflow. J Sea Res 48:29–49CrossRefGoogle Scholar
  3. Beaugrand G (2004) The North Sea regime shift: evidence, causes, mechanisms and consequences. Prog Oceanogr 60:245–262CrossRefGoogle Scholar
  4. Beaugrand G, Ibanez F (2004) Monitoring marine plankton ecosystems. II: long-term changes in North Sea calanoid copepods in relation to hydro-climatic variability. Mar Ecol Prog Ser 284:35–47CrossRefGoogle Scholar
  5. Beaugrand G, Ibanez F, Lindley JA, Reid PC (2002a) Diversity of calanoid copepods in the North Atlantic and adjacent seas: species associations and biogeography. Mar Ecol Prog Ser 232:179–195CrossRefGoogle Scholar
  6. Beaugrand G, Reid PC, Ibanez F, Lindley JA, Edwards M (2002b) Reorganization of North Atlantic Marine copepod biodiversity and climate. Science 296:1692–1694. doi:10.1126/Science.1071329 CrossRefGoogle Scholar
  7. Cushing DH (1988) The northerly wind. In: Rothschild BJ (ed) Towards a theory on biological-physical interactions in the world ocean. Kluwer Academic Publishers, Dordrecht, pp 235–244Google Scholar
  8. Cushing DH (1990) Plankton production and year class strength in fish populations and update of the match/mismatch hypothesis. Adv Mar Biol 26:249–293CrossRefGoogle Scholar
  9. Dickson RR, Meincke J, Malmberg S-A, Lee AJ (1988) The “great salinity anomaly” in the Northern North Atlantic 1968–1982. Prog Oceanogr 20:103–151CrossRefGoogle Scholar
  10. Dippner JW (1997a) SST anomalies in the North Sea in relation to the North Atlantic Oscillation and the Influence on the theoretical spawning time of fish. German Journal of Hydrography 49:267–275Google Scholar
  11. Dippner JW (1997b) Recruitment success of different fish stocks in the North Sea in relation to climate variability. German Journal of Hydrography 49:277–293Google Scholar
  12. Dippner J, Ottersen G (2001) Cod and climate variability in the Barents Sea. Clim Res 17:73–82CrossRefGoogle Scholar
  13. Ebbesmeyer C, Cayan C, McLain D, Nicols F, Peterson D, Redmond K (1991) 1976 step in the Pacific climate: forty environmental changes between 1968 and 1975 and 1977 and 1984. In: Betancourt JL, Tharp VL (eds) Proceedings of the Seventh Annual Climate (PACLIM) Workshop, April 1990. Interagency Ecol Studies Prog Tech Rep No 26, California Department of Water Resources, Sacramento, CA, pp 115–126Google Scholar
  14. Edwards M, Richardson AJ (2004) Impact of climate change on marine pelagic phenology and trophic mismatch. Nature 430:881–884CrossRefGoogle Scholar
  15. Edwards M, Beaugrand G, Reid PC, Rowden AA, Jones MB (2002) Ocean climate anomalies and the ecology of the North Sea. Mar Ecol Prog Ser 239:1–10CrossRefGoogle Scholar
  16. Feser F, Weisse F, von Storch H (2001) Multi-decadal atmospheric modeling for Europe yields multi-purpose data. EOS 82(28):305CrossRefGoogle Scholar
  17. Frankignoul C, de Coetlogon G (2001) Gulf stream variability and ocean–atmosphere interactions. J Phys Oceanogr 31:3516–3529CrossRefGoogle Scholar
  18. Fromentin J-M, Planque B (1996) Calanus and environment in the eastern North Atlantic. II. Influence of the North Atlantic Oscillation on C. finmarchicus and C. helgolandicus. Mar Ecol Prog Ser 134:111–118CrossRefGoogle Scholar
  19. Greve W (1994) The 1989 German Bight invasion of Muggiaea atlantica. ICES J Mar Sci 51:355–358CrossRefGoogle Scholar
  20. Greve W (1995) Mutual predation causes bifurcations in pelagic ecosystems: the simulation model PLITCH (PLanktonic swITCH), experimental tests and theory. ICES J Mar Sci 52:505510CrossRefGoogle Scholar
  21. Greve W (2003) Aquatic plants and animals. In: Schwartz MD (ed) Phenology: an integrative environmental science. Kluwer, Netherlands, p 385403Google Scholar
  22. Greve W, Reiners F, Nast J, Hoffmann S (2004) Helgoland Roads meso- and macrozooplankton time-series 1974 to 2004: lessons from 30 years of single spot, high frequency sampling at the only off-shore island of the North Sea. Helgol Mar Res 58:274–288CrossRefGoogle Scholar
  23. Greve W, Prinage S, Zidowitz H, Nast J, Reiners F (2005) On the phenology of North Sea ichthyoplankton. ICES J Mar Sci 62:1216–1223 . doi:10.1016/j.icesjms.2005.03.011 CrossRefGoogle Scholar
  24. Hakanson L, Blenckner T (2008) A review on operational bioindicators for sustainable coastal managementcriteria, motives and relationships. Ocean Coast Manag 51:4372Google Scholar
  25. Hare SR, Mantua NJ (2000) Empirical evidence for the North Pacific regime shifts in 1977 and 1989. Prog Oceanogr 47:103–145CrossRefGoogle Scholar
  26. Helle K, Bogstad B, Marshall CT, Michalsen K, Ottersen G, Pennington M (2000) An evaluation of recruitment indices for Arcto-Norwegian cod (Gadus morhua L.). Fish Res 993:113Google Scholar
  27. Heyen H, Dippner J (1998) Salinity variability in the German Bight in relation to climate variability. Tellus 50A:545–556Google Scholar
  28. Heyen H, Fock H, Greve W (1998) Detecting relationships between the interannual variability in ecological time series and climate using a multivariate statistical approach—a case study on Helgoland Roads zooplankton. Clim Res 10:179–191CrossRefGoogle Scholar
  29. Hickel W, Mangelsdorf P, Berg J (1993) The human impact on the German Bight: eutrophication during three decades 1962–1991. Helgol Mar Res 47:243–263Google Scholar
  30. Hickel W, Eickhoff M, Spindler H (1995) Langzeit-Untersuchungen von Nährstoffen und Phytoplankton in der Deutschen Bucht, Aktuelle Probleme der Meeresumwelt: Vorträge des 5. Internationalen wissenschaftliches Symposiums, Hamburg, Deutsche hydrographische Zeitschrift. Supplement 5, pp 197–211Google Scholar
  31. IPCC (2007) Climate change 2007: the synthesis report. Cambridge University Press, Cambridge, UK, p 403Google Scholar
  32. Joyce TM, Deser C, Spall MA (2000) The relation between decadal variability of subtropical mode water and the North Atlantic Oscillation. J Climate 13:2550–2569CrossRefGoogle Scholar
  33. Kirby RR, Beaugrand G, Lindley JA, Richardson AJ, Edwards M, Reid PC (2007) Climate effects and benthic–pelagic coupling in the North Sea. Mar Ecol Prog Ser 330:31–38CrossRefGoogle Scholar
  34. Kröncke I, Dippner JW, Heyen H, Zeiss B (1998) Long-term changes in macrofaunal communities off Norderney (East Frisia, Germany) in relation to climate variability. Mar Ecol Prog Ser 167:25–36CrossRefGoogle Scholar
  35. Lees K, Pitois S, Scott C, Frid C, Mackinson S (2006) Characterizing regime shifts in the marine environment. Fish Fish 7:104–127Google Scholar
  36. Loewe P (1996) Surface temperatures of the North Sea in 1996. German Journal of Hydrography 48:175–184Google Scholar
  37. Loewe P, Becker G (2003) North Sea SST since 1968: some gross statistics contribution to 2003 report of the ICES Working Group on Oceanic Hydrography (WGOH), Bundesamt für Seeschifffahrt und Hydrographie, HamburgGoogle Scholar
  38. Lucht F, Gillbricht M (1978) Long-term observations on nutrient contents near Helgoland in relation to nutrient input of the Elbe River. Rapp P-V Reun Cons Int Explor Mer 172:358–360Google Scholar
  39. Mantua N (2004) Methods for detecting regime shifts in large marine ecosystems: a review with approaches applied to North Pacific data. Prog Oceanog 60:165–182. doi:10.1016/j.pocean.2004.02.016 CrossRefGoogle Scholar
  40. McQuatters-Gollop A, Raitsons DE, Edwards M, Pradhan Y, Mee LD, Lavender SJ, Attrill M (2007) A long-term chlorophyll data set reveals regime shift in North Sea phytoplankton biomass unconnected to nutrient trends. Limnol Oceanogr 52(2):635–648Google Scholar
  41. Mertz G, Myers RA (1994) The ecological impact of the great salinity anomaly in the northern North-west Atlantic. Fish Oceanogr 3(1):1–14CrossRefGoogle Scholar
  42. Ottersen G, Planque B, Belgrano A, Post E, Reid PC, Stenseth NC (2001) Ecological effects of the North Atlantic Oscillation. Oecologia 128:1–14. doi:10.1007/s004420100655 CrossRefGoogle Scholar
  43. Planque B, Fromentin J-M (1996) Calanus and environment in the eastern North Atlantic. I. Spatial and temporal patterns of C. finmarchicus and C. helgolandicus. Mar Ecol Prog Ser 134:101–109CrossRefGoogle Scholar
  44. Raabe T, Wiltshire KH (2008) Quality control and analyses of the long-term nutrient data from Helgoland Roads. J Sea Res (in press). doi:10.1016/j.seares.2008.07.004
  45. Reid PC (1975) Large scale changes in North Sea phytoplankton. Nature 257:217–219CrossRefGoogle Scholar
  46. Reid PC, Borges MdeF, Svendsen E (2001) A regime shift in the North Sea circa 1988 linked to changes in the North Sea horse mackerel fishery. Fish Res 50:163–171CrossRefGoogle Scholar
  47. Russel FS (1973) A summary of the observations on the occurrence of plank-tonic stages of fish off Plymouth 1924–1972. J Mar Biol Assoc UK 53:347–355CrossRefGoogle Scholar
  48. Schaub BEM, Gieskes WWC (1991) Eutrophication of the North Sea: the relation between Rhine River discharge and chlorophyll—a concentration in Dutch coastal waters. In: Elliot M, Ducrotoy J-P (eds) Estuaries and coasts: temporal and spatial intercomparisons. Olsen and Olsen, Fredensborg, pp 85–90Google Scholar
  49. Sundby S, Bjorke H, Soldal AV, Olsen S (1989) Mortality rates during the early life stages and year-class strength of Northeast Arctic cod (Gadus morhua L.). Rapp P-V Reun Cons Int Explor Mer 191:351358Google Scholar
  50. Svendsen S, Aglen A, Iversen SA, Skagen DW, Smestad O (1995) Influence of climate on recruitment and migration of fish stocks in the North Sea. Can Spec Publ Fish Aquat Sci 121:641–653Google Scholar
  51. Taylor AH (1995) North–South Shifts of the Gulf Stream and their climatic connection with the abundance of zooplankton in the UK and its surrounding seas. ICES, J Mar Sci 52:711–721CrossRefGoogle Scholar
  52. Taylor AH (1996) North–South Shifts of the Gulf Stream: ocean–atmosphere interactions in the North Atlantic. Int J Climatol 16:559–583CrossRefGoogle Scholar
  53. Taylor AH, Stephens JA (1980) Latitudinal displacements of the Gulf Stream (1966 to 1977) and their relation to changes in temperature and zooplankton abundance in the N.E. Atlantic. Oceanologica Acta 3:145–149Google Scholar
  54. Tilzer M (1998) Secchi disk chlorophyll relationships in a lake with highly variable phytoplankton biomass. Hydrobiologia 162:163–171CrossRefGoogle Scholar
  55. von Storch H, Zwiers FW (1999) Statistical analysis in climate research. Cambridge University Press, Cambridge, p 494Google Scholar
  56. Weijerman M, Lindeboom H, Zuur AF (2005) Regime shifts in marine ecosystems of the North Sea and Wadden Sea. Mar Ecol Prog Ser 298:21–39CrossRefGoogle Scholar
  57. Wiltshire KH (2004) Time-series and project data of the Biological Institute on Helgoland. http://www.pangaea.de/Projects/BAH/data.html
  58. Wiltshire KH, Dürselen CD (2004) Revision and quality analyses of the Helgoland Reede long-term phytoplankton data archive. Helgol Mar Res 58:252–268. doi:10.1007/s10152-004-0196-0 CrossRefGoogle Scholar
  59. Wiltshire KH, Manly BFJ (2004) The warming trend at Helgoland Roads, North Sea: phytoplankton response. Helgol Mar Res 58:269–273. doi:10.1007/s10152-004-0196-0 CrossRefGoogle Scholar
  60. Wiltshire KH, Mahlzahn AM, Wirtz K, Greve W, Janisch S, Mangelsdorf P, Manly BFJ, Boersma M (2008) Resilience of North Sea phytoplankton spring bloom dynamics: an analysis of long term data at Helgoland Roads. Limnol Oceanogr 53:1294–1302Google Scholar
  61. Wirtz KW, Wiltshire KH (2005) Long-term shifts in marine ecosystem functioning detected by inverse modeling of the Helgoland Roads time-series. J Mar Sys 56:262–282CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Merja H. Schlüter
    • 1
  • Agostino Merico
    • 1
  • Karen H. Wiltshire
    • 2
  • Wulf Greve
    • 3
  • Hans von Storch
    • 1
  1. 1.Institute of Coastal ResearchGKSS Research CenterGeesthachtGermany
  2. 2.Biologische Anstalt HelgolandAlfred Wegener Institute for Polar and Marine ResearchHelgolandGermany
  3. 3.German Centre for Marine Biodiversity Research (Senckenberg Research Insti- tute)HamburgGermany

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