Hostname: page-component-7bb8b95d7b-5mhkq Total loading time: 0 Render date: 2024-09-25T16:43:27.613Z Has data issue: false hasContentIssue false
  • English
  • Français

Distinguishing resident from transient species along marine artificial reefs

Published online by Cambridge University Press:  06 July 2010

Etienne Boisnier ,
Tatsuyuki Sagawa ,
Teruhisa Komatsu  and
Norimasa Takagi
Etienne Boisnier*
Affiliation:
The Ocean Research Institute, The University of Tokyo, 1-15-1, Minamidai, Nakano-ku, Tokyo, 164-8639, Japan
Tatsuyuki Sagawa
Affiliation:
The Ocean Research Institute, The University of Tokyo, 1-15-1, Minamidai, Nakano-ku, Tokyo, 164-8639, Japan
Teruhisa Komatsu
Affiliation:
The Ocean Research Institute, The University of Tokyo, 1-15-1, Minamidai, Nakano-ku, Tokyo, 164-8639, Japan
Norimasa Takagi
Affiliation:
National Research Institute of Fisheries Engineering, Ebidai, Hasaki, Kasima, Ibaraki, 314-0421, Japan
*
Correspondence should be addressed to: E. Boisnier, The Ocean Research Institute, The University of Tokyo, 1-15-1, Minamidai, Nakano-ku, Tokyo, 164-8639, Japan email: shirokumaori@yahoo.jp
Get access Rights & Permissions [Opens in a new window]

Abstract

Even if artificial reef studies heavily refer to the distinction between resident and transient species, there is still no widely-shared available method to distinguish objectively these two groups. Such an absence makes any comparison between studies difficult. This study aims to test whether the four objective distinction methods successfully applied to a 21-year-long time-series on fish assemblage in an English estuary may be as successful when applied to marine artificial reefs. For such a purpose, we tested each distinction tool separately with reference to four different artificial reef fish assemblage datasets. Three of them were drawn from the literature. Results indicate that none of these tools, used either individually or collectively, provide an efficient solution to distinguish resident species for the four datasets considered. We suggest that one of the major reasons for this failure may lie in the relative sampling size. Nonetheless, as these four datasets are representative of the datasets generally reported in the literature, tools capable of distinguishing reliably and efficiently resident from transient species along artificial reefs have yet to be developed. However, such a development requires fish residence to be previously and accurately defined by artificial reef scientists and managers.

Keywords

community sub-divisionsdistinction toolsmarine artificial reefsresident speciestransient species
Type
Research Article
Information
Journal of the Marine Biological Association of the United Kingdom , Volume 90 , Issue 7 , November 2010 , pp. 1297 - 1303
Copyright
Copyright © Marine Biological Association of the United Kingdom 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Ambrose, R.F. (1994) Mitigating the effects of a coastal power plant on a kelp forest community: rationale and requirements for an artificial reef. Bulletin of Marine Science 55, 694–709.Google Scholar
Bohnsack, J.A. and Talbot, F.H. (1980) Species-packing by reef-fishes on Australian and Caribbean reefs: an experimental approach. Bulletin of Marine Science 30, 710–723.Google Scholar
Bohnsack, J.A. and Bannerot, S.P. (1986) A stationary visual census technique for quantitavely assessing community structure of coral reef fishes. Seattle: NOAA Technical Report NMFS 41.Google Scholar
Branden, K.L., Pollard, D.A. and Reimers, H.A. (1994) A review of recent artificial reef developments in Australia. Bulletin of Marine Science 55, 982–995.Google Scholar
Brotto, D.S., Krohling, W. and Zalmon, I. (2007) Comparative evaluation of fish assemblages census on an artificial reef. Revista Brasileira de Zoologia 24, 1157–1162.CrossRefGoogle Scholar
Caselle, J.E., Love, M.S., Fusaro, C. and Schroeder, D. (2002) Trash or habitat? Fish assemblages on offshore oilfield seafloor debris in the Santa Barbara Channel, California. ICES Journal of Marine Science 59, S258–S265.CrossRefGoogle Scholar
Costello, M.J. and Myers, A.A. (1996) Turnover of transient species as contributor to the richness of a stable amphipod (Crustacea) fauna in a sea inlet. Journal of Experimental Marine Biology and Ecology 202, 49–62.CrossRefGoogle Scholar
Cummings, S.L. (1994) Colonization of a nearshore artificial reef at Boca Raton (Palm Beach County) Florida. Bulletin of Marine Science 55, 1193–1215.Google Scholar
D'Anna, G., Badalamenti, F., Gristina, M. and Pipitone, C. (1994) Influence of artificial reefs on coastal nekton assemblages of the Gulf of Castellammare (Ligurian Sea northwestern Mediterranean). Bulletin of Marine Science 55, 418–434.Google Scholar
Golani, D. and Diamant, A. (1999) Fish colonization of an artificial reef in the Gulf of Elat, Northern Red Sea. Environmental Biology of Fishes 54, 275–282.CrossRefGoogle Scholar
Hanski, I. (1982) Dynamics of regional distribution: the core and satellite species hypothesis. Oikos 38, 210–221.CrossRefGoogle Scholar
Herrera, R., Espino, F., Garrido, M. and Haroun, R.J. (2002) Observations on fish colonization and predation on two artificial reefs in the Canary Islands. ICES Journal of Marine Science 59, S69–S73.CrossRefGoogle Scholar
Jan, R.Q., Liu, Y.H., Chen, C.Y., Wang, M.C., Song, G.S., Lin, H.C. and Shao, K.T. (2003) Effects of pile size of artificial reefs on the standing stocks of fishes. Fisheries Research 63, 327–337.CrossRefGoogle Scholar
Johnson, T.D., Barnett, A.M., DeMartini, E.E., Craft, L.L., Ambrose, R.F. and Purcell, L.J. (1994) Fish production and habitat utilization on a Southern California artificial reef. Bulletin of Marine Science 55, 709–724.Google Scholar
Khamis, H.J. (1990) The δ-corrected Kolmogorov–Smirnov test for goodness of fit. Journal of Statistical Planning and Inference 24, 317–335.CrossRefGoogle Scholar
Magurran, A.E. (2004) Measuring biological diversity. 2nd edition.Oxford: Blackwell Publishing.Google Scholar
Magurran, A.E. (2005) Species abundance distributions: pattern or process? Functional Ecology 19, 177–181.CrossRefGoogle Scholar
Magurran, A.E. and Henderson, P.A. (2003) Explaning the excess of rare species in natural species abundance distributions. Nature 422, 714–716.CrossRefGoogle Scholar
Masuda, H., Amaoka, K., Araga, C., Uyeno, T. and Yoshino, T. (1984) The fishes of the Japanese Archipelago. Tokyo: Tokai University Press.Google Scholar
Matthews, K.R. (1985) Species similarity and movement of fishes on natural and artificial reefs in Monterey Bay, California. Bulletin of Marine Science 37, 252–270.Google Scholar
Moreno, I. (2002) Effects of substrate on the artificial reef fish assemblage in Santa Eulalia Bay (Ibiza, western Mediterranean). ICES Journal of Marine Science 59, S144–S149.CrossRefGoogle Scholar
Reed, D.C., Schroeter, S.C., Huang, D., Anderson, T.W. and Ambrose, R.F. (2006) Quantitative assessment of different artificial reef designs in mitigating losses to kelp forest fishes. Bulletin of Marine Science 78, 133–150.Google Scholar
Relini, M., Torchia, G. and Relini, G. (1994) Seasonal variation of fish assemblages in the Loano artificial reef (Ligurian Sea northwestern Mediterranean). Bulletin of Marine Science 55, 401–418.Google Scholar
Seaman, W. (2000) Artificial reef evaluation with application to marine habitats. Boca Raton, FL: CRC Press.CrossRefGoogle Scholar
Stephens, J.S., Morris, P.A., Pondella, D.J., Koonce, T.A. and Jordan, G.A. (1994) Overview of the dynamics of an urban artificial reef fish assemblage at King Harbor, California, USA, 1974–1991: a recruitment driven system. Bulletin of Marine Science 55, 1224–1240.Google Scholar
Takagi, N., Moriguchi, A., Kimoto, K., Arai, K., Hasuo, T., Nakamura, H. and Kimura, K. (2000) Development of large-scale high-rise artificial reef and its effect. Technical Report from the National Research Institute of Fisheries Engineering 22, 1–14. [In Japanese.]Google Scholar
Talbot, F.H., Russel, B.C. and Anderson, G.R.V. (1978) Coral reef fish communities: unstable, high-diversity systems? Ecological Monographs 48, 425–440.CrossRefGoogle Scholar
Tokeshi, M. (1992) Dynamics and distribution in animal communities; theory and analysis. Researches on Population Ecology 34, 249–273.CrossRefGoogle Scholar
Tupper, M. and Hunte, W. (1998) Predictability of fish assemblages on artificial and natural reefs in Barbados. Bulletin of Marine Science 62, 919–935.Google Scholar
Ulrich, W. and Zalewski, M. (2006) Abundance and co-occurrence patterns of core and satellite species of ground beetles on small lake islands. Oikos 114, 338–348.CrossRefGoogle Scholar
Walker, B.K., Henderson, B. and Spieler, E. (2002) Fish assemblages associated with artificial reefs of concrete aggregates or quarry stone offshore Miami Beach, Florida, USA. Aquatic Living Resources 15, 95–105.CrossRefGoogle Scholar
Zar, J.H. (1998) Biostatistical analysis. 4th edition.Upper Saddle River, NJ: Prentice-Hall.Google Scholar