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Marine Biology

, Volume 145, Issue 5, pp 943–949 | Cite as

Relationship between mangrove abundance and tropical prawn production: a re-evaluation

  • S. Y. LeeEmail author
Research Article

Abstract

Despite decades of research, the relationship between mangrove abundance and fishery productivity in nearshore environments is still controversial. A new analysis was made to explore the relationship between prawn catch in 1985–2001 in 37 countries and mangrove abundance, using the principal components–regression approach. Principal components reduced mangrove abundance and other predictor variables (latitude, tidal amplitude, coastline length, population size, rainfall, and temperature) to four orthogonal principal components, accounting for 78% of the overall data variation. Representation of mangrove abundance in both absolute (total area of mangroves) and relative (mangrove area standardized against length of coastline) terms also helps elucidate the effect of mangrove abundance on prawn catch. Regression analysis with prawn catch using these four principal components suggests that the extent of intertidal areas and organic matter availability as represented by tidal amplitude rather than relative mangrove abundance per se have a stronger influence on prawn catch in tropical nearshore environments. This approach avoids some of the common problems of past analyses, such as multi-collinearity of the predictor variables.

Keywords

Coastal Wetland Tidal Amplitude Mangrove Area Intertidal Habitat Fishery Catch 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

Thanks to Professor Peter Saenger (Southern Cross University, Australia) for allowing me to use his data on the length of coastlines of tropical countries in the analysis, and to Michael Arthur for a discussion of the PCA–regression technique. The manuscript has also benefited from useful comments from the referees. This analysis would not have been possible without the good work of scientists who studied, mapped, and thought about mangroves, and the effort of FAO in making fisheries data widely available to researchers. This work was supported as part of a project on the trophic ecology of mangroves, from the Australian Research Council Large Grants scheme (A00000284).

References

  1. Baran E, Hambrey J (1998) Mangrove conservation and coastal management in Southeast Asia: what impact on fishery resources? Mar Pollut Bull 37:431–440CrossRefGoogle Scholar
  2. Chong VC (1995) The prawn-mangrove connection—fact or fallacy? In: Proceedings of seminar on sustainable utilisation of coastal ecosystem for agriculture, forestry and fisheries in developing regions. Malaysian Fisheries Department, Kuala Lumpur, pp 3–20Google Scholar
  3. Chong VC, Sasekumar A, Leh MUC, D’Cruz R (1990) The fish and prawn communities of a Malaysian coastal mangrove system, with comparisons to adjacent mud flats and inshore waters. Estuar Coast Shelf Sci 31:703–722Google Scholar
  4. Chong VC, Low CB, Ichikawa T (2001) Contribution of mangrove detritus to juvenile prawn nutrition: a dual stable isotope study in a Malaysian mangrove forest. Mar Biol 138:77–86CrossRefGoogle Scholar
  5. Lee SY (1995) Mangrove outwelling: a review. Hydrobiologia 295:203–212Google Scholar
  6. Lee SY (2000) Carbon dynamics of Deep Bay, eastern Pearl River estuary, China II. Trophic relationship based on carbon- and nitrogen-stable isotopes. Mar Ecol Prog Ser 205:1–10Google Scholar
  7. Loneragan NR, Bunn SE, Kellaway DM (1997) Are mangroves and seagrasses sources of organic carbon for penaeid prawns in a tropical Australian estuary? A multiple stable isotope study. Mar Biol 130:289–300CrossRefGoogle Scholar
  8. Martosubroto PD, Naamin N (1977) Relationship between tidal forests (mangroves) and commercial shrimp production in Indonesia. Mar Res Indones 18:81–86Google Scholar
  9. Meziane T, Tsuchiya M (2000) Fatty acids as tracers of organic matter in the sediment and food web of a mangrove/intertidal flat ecosystem, Okinawa, Japan. Mar Ecol Prog Ser 200:49–57Google Scholar
  10. Morrison DF (1978) Multivariate statistical methods. McGraw Hill, New YorkGoogle Scholar
  11. Myers RH (1986) Classical and modern regression with applications. Duxbury Press, BostonGoogle Scholar
  12. Nagelkerken I, Kelijnen S, Klop T,Brand RACJ van der, Cocheret de la Morinière E, Velde G van der (2001) Dependence of Caribbean reef fishes in mangroves and seagrass beds as nursery habitats: a comparison of fish fauna between bays with and without mangrove/seagrass beds. Mar Ecol Prog Ser 214:225–235Google Scholar
  13. Newell RIE, Marshall N, Sasekumar A, Chong VC (1995) Relative importance of benthic algae, phytoplankton, and mangroves as sources of nutrition for penaeid prawns and other coastal invertebrates from Malaysia. Mar Biol 123:595–606Google Scholar
  14. Odum EP (1980) The status of three ecosystem-level hypotheses regarding salt marsh estuaries: tidal subsidy, outwelling, and detritus-based food chains. In: Estuarine perspectives. Proceedings of the fifth biennial international estuarine research conference, Jekyll Island, Georgia, 7–12 October 1979, pp 485–507Google Scholar
  15. Odum WE, Heald EJ (1972) Trophic analysis of an estuarine mangrove community. Bull Mar Sci 22:671–737Google Scholar
  16. Pauly D, Ingles J (1988) The relationship between shrimp yields and intertidal vegetation (mangrove) areas: a reassessment. In: IOC/FAO Workshop on recruitment in tropical coastal demersal communities—submitted papers. IOC and UNESCO, Paris, pp 277–284Google Scholar
  17. Philippi TE (1993) Multiple regression: herbivory. In: Scheiner SM, Gurevitch J (eds) Design and analysis of ecological experiments. Chapman & Hall, New York, pp 183–210Google Scholar
  18. Primavera JH (1998) Mangroves as nurseries: shrimp populations in mangrove and non-mangrove habitats. Estuar Coast Shelf Sci 46:457–464CrossRefGoogle Scholar
  19. Reyment R, Jöreskog KG (1996) Applied factor analysis in the natural sciences. Cambridge University Press, CambridgeGoogle Scholar
  20. Robertson AI, Blaber SJM (1992) Plankton, epibenthos and fish communities. In: Robertson AI, Alongi DM (eds) Tropical mangrove ecosystems. American Geophysical Union, Washington, D.C., pp 173–224Google Scholar
  21. Rönnbäck P (1999) The ecological basis for economic value of seafood production supported by mangrove ecosystems. Ecol Econ 29:235–252CrossRefGoogle Scholar
  22. Spalding M, Blasco F, Field C (1997) World mangrove atlas. The International Society for Mangrove Ecosystems, Okinawa, JapanGoogle Scholar
  23. Staples DJ, Vance DJ, Heales DS (1985) Habitat requirements of juvenile penaeid prawns and their relationship to offshore fisheries. In: Rothlisberg PC, Bill BJ, Staples DJ (eds) Second Australian National Prawn Seminar. NPS2, Cleveland, Australia, pp 47–54Google Scholar
  24. Turner RE (1977) Intertidal vegetation and commercial yields of penaeid shrimp. Trans Am Fish Soc 106:411–416CrossRefGoogle Scholar
  25. Turner RE (1989) Factors affecting the relative abundance of shrimp in Ecuador. In: Olsen S, Arriaga L (eds) A sustainable shrimp mariculture industry for Ecuador. International Coastal Resources Management Project. The Coastal Resources Center, University of Rhode Island, Narragansett, pp 121–139Google Scholar
  26. Vance DJ, Haywood MDE, Staples DJ (1990) Use of a mangrove estuary as a nursery area by postlarval and juvenile banana prawns, Penaeus merguiensis de Man, in northern Australia. Estuar Coast Shelf Sci 31:689–702Google Scholar
  27. Vance DJ, Haywood MDE, Heales DS, Kenyon RA, Loneragan NR, Pendrey RC (2002) Distribution of juvenile penaeid prawns in mangrove forests in a tropical Australian estuary, with particular reference to Penaeus merguiensis. Mar Ecol Prog Ser 228:165–177Google Scholar

Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  1. 1.Centre for Aquatic Processes and Pollution and School of Environmental and Applied SciencesGriffith University Gold CoastQld 9726Australia

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