Abstract
During the RV A. Veimer cruise on 16 August 1990, the bacterial production, the bacterial total number and the plate count were estimated at nine sampling stations at four depths along a transect from the Estonian inshore area to the middle of the Gulf of Finland. To analyze the variability of microbiological parameters, the spatial structure was introduced into the statistical model and combined with the environmental variables. The total explained variation of the bacterial production was 74%, of which 62% was represented by the covariation between the environmental variables and the spatial structure. The variation in the bacterial production data that was explained by the environmental variables, independently of the spatial structure, was 9%, and variation due to spatial structure without environmental variables equaled 12%. The patterns of distribution of the bacterial total number and the plate count were related only to the spatial structure (explained variation 30% and 27%, respectively).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baines, S. B. and M. L. Pace, 1991. The production of dissolved organic matter by phytoplankton and its importance to bacteria: Patterns across marine and freshwater systems. Limnol. Oceanogr. 36: 1078–1090.
Borcard, D. and P. Legendre, 1993. Environmental control and spatial structure in ecological communities, with an example on Oribatid mites ( Acari, Oribatei). J. envir. Stat. 1: 55–76.
Borcard, D. and P. Legendre, 1994. Environmental control and spatial structure in ecological communities: an example using Oribatid mites (Acari, Oribatei). Envir. ecol. Stat. 1: 31–61.
Borcard, D., P. Legendre and P. Drapeau, 1992. Partialling out the spatial component of ecological variation. Ecology 73: 1045–1055.
Dutilleul, P., 1993. Spatial heterogeneity and the design of ecological field experiments. Ecology 74: 1646–1658.
Edgar, R. K. and K. Laird, 1993. Computer simulation of error rates of Poisson-based interval estimates of plankton abundance. Hydro-biologia 264: 65–77.
Fuhrman, J. A. and F. Azam, 1982. Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters. Mar. Biol. 66: 109–120.
Guidelines for the Baltic monitoring programme for the third stage. 1988, Baltic Marine Environment Protection Commission. Helsinki Commission, 115 pp.
Holder-Franklin, M., 1992. Aquatic microorganisms: processes, populations, and molecular solutions to environmental problems. J. aquat Ecos. Health 1: 253–262.
Karrach, B., H.-G. Hoppe, S. Ullrich and S. Podewski, 1996. The role of mesoscale hydrography on microbial dynamics in the northeast Atlantic: Results of spring bloom experiment. J. mar. Res. 54: 99–122.
Kuznetsov, S. I. and G. A. Dubinina, 1989. Metody izuchenija vodnyh mikroorganizmov. Moskva, Nauka, 327 pp. [Methods for investigation of aquatic micro-organisms. In Russian.]
Legendre, P. and M. Troussellier, 1988. Aquatic heterotrophic bacteria: modeling in the presence of spatial autocorrelation. Limnol. Oceanogr. 33: 1055–1067.
Letarte, Y. and B. Pinel-Alloul, 1991. Relationships between bacterioplankton production and limnological variables: Necessity of bacterial size considerations. Limnol. Oceanogr. 36: 1208–1216.
Lovejoy, C., L. Legendre, B. Klein, J.-E. Tremblay, R. G. Ingram and J.-C. Therriault, 1996. Bacterial activity during early winter mixing (Gulf of St. Lawrence, Canada). Aquat. microb. Ecol. 10: 1–13.
Oppenheimer, C. H. and C. E. ZoBell, 1952. The growth and viability of sixty-three species of marine bacteria as influenced by hydrostatic pressure. J. mar. Res. 11: 10–18.
Riemann, B., P. K. Bjomsen, S. Newell and R. Fallon, 1987. Calculation of cell production of coastal bacteria based on measured incorporation of H-thymidine. Limnol. Oceanogr. 32: 471–476.
Roy, R., P. Legendre, R. Knowles and M. N. Charlton, 1994. Denitrification and methane production in sediment of Hamilton Harbour (Canada). Microb. Ecol. 27: 123–141.
Ter Braak, C. J. F., 1990. CANOCO- a FORTRAN program for canonical community ordination by [partial] [detrended] [canonical] correspondence analysis, principal components analysis and redundancy analysis. Scientia Publishing, 152 pp.
van Tongeren, O. F. R., 1995. Data analysis or simulation model: a critical evaluation of some methods. Ecol. Model. 78: 51–60.
White, P. A., J. Kalif, J. B. Rasmussen and J. M. Gasol, 1991. The effect of temperature and algal biomass on bacterial production and specific growth rate in freshwater and marine habitats. Microb. Ecol. 21: 99–118.
Zweil, U. L. and A. Hagström, 1995. Total counts of marine bacteria include a large fraction of non-nucleoid-containing bacteria (ghosts). Appl. envir. Microb. 61: 2180–2185.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Truu, J., Nõges, T., Künnis, K., Truu, M. (1998). Incorporation of spatial structure into the analysis of relationships between environment and marine microbiological parameters. In: Tamminen, T., Kuosa, H. (eds) Eutrophication in Planktonic Ecosystems: Food Web Dynamics and Elemental Cycling. Developments in Hydrobiology, vol 127. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1493-8_23
Download citation
DOI: https://doi.org/10.1007/978-94-017-1493-8_23
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5041-0
Online ISBN: 978-94-017-1493-8
eBook Packages: Springer Book Archive