Abstract
Analyses of microbial community dynamics are often constrained by the destructive, indirect, and incomplete nature of most sampling techniques. These methodological constraints compel assumptions that are rarely verified about the relationships among separate communities. We evaluated the consequences for community analysis of the common assumption that separate microbial communities are described by the same species abundance distribution. Sample data were generated from simulated communities in which the species abundance distributions were the same or were different. Samples from communities that had the same number of species or were described by the same species abundance distribution sometimes had significantly different numbers of species. Samples from simulated communities that had different species number-species abundance distribution combinations sometimes contained indistinguishable numbers of species. When sampling from independent communities described by unknown distributions (e.g., microbial communities on plant surfaces), the simulations showed that standardization of sample size (number of individuals or colony-forming units) does not guarantee samples of equal proportions of the total species in a community. Sample sizes that are logistically feasible for many microbial systems will provide only limited information for differentiating species numbers or species abundance distributions among separate communities over time. For ecologists studying destructively or incompletely sampled communities this seriously influences both the sample designs that are reasonable and the questions that can be addressed in such systems.
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References
Andrews JH, Kinkel LL, Berbee FM, Nordheim EV (1987) Fungi, leaves, and the theory of island biogeography. Microb Ecol 14:277–290
Atlas RM (1987) Application of general ecological principles to microbial ecology. In: Poindexter JS, Leadbetter ER (eds) Bacteria in nature: Volume 2, Methods and special applications in bacterial ecology. Plenum Press, New York, pp 339–370
Bliss CI (1965) An analysis of some insect trap records. In: Patil GP, (ed) Classical and contagious discrete distributions. Statistical Publishing Society, Calcutta, India, pp 385–397
Boswell MT, Patil GP (1971) Chance mechanisms generating the logarithmic series distribution used in the analysis of number of species and individuals. In: Patil GP, Pielou EC, Waters WE (eds) Statistical ecology. Pennsylvania State University Press, University Park, pp 99–130
Brock TD (1987) The study of micro-organisms in situ: Progress and problems. In: Fletcher M, Gray TRG, Jones JG (eds) Ecology of microbial communities. Cambridge University Press, Cambridge, UK, pp 1–17
Bulmer MG (1974) On fitting the Poisson lognormal distribution to species-abundance data. Biometrics 30:101–110
Clayton MK, Hudelson BD (1991) Analysis of spatial patterns in the phyllosphere. In: Andrews JH, Hirano SS (eds) Microbial ecology of leaves. Springer-Verlag, New York, pp 111–131
Engen S (1978) Stochastic abundance models with emphasis on biological communities and species diversity. Halsted Press, New York
Fisher RA, Corbet S, Williams CB (1943) The relation between the number of species and the number of individuals in a random sample of an animal population. J Anim Ecol 12:42–58
Good IJ (1953) The population frequencies of species and the estimation of population parameters. Biometrika 40:237–264
Grundy RM (1951) The expected frequencies in a sample of an animal popuation in which the abundances are lognormally distributed. Biometrika 38:427–434
Holgate P (1969) Species frequency distributions. Biometrika 56:651–660
Hughes RG (1986) Theories and models of species abundance. Am Nat 128:879–899
Johnson NL, Kotz S (1970) Continuous univariate distributions. I. John Wiley and Sons, New York
Karl DM (1986) Determination of in situ microbial biomass, viability, metabolism, and growth. In: Poindexter JS, Leadbetter ER (eds) Bacteria in nature: Volume 2, Methods and special applications in bacterial ecology. Plenum Press, New York, pp 85–176
Kendall DG (1948) On some modes of population growth leading to R. A. Fisher's logarithmic series distribution. Biometrika 35:6–15
Kinkel LL, Andrews JH, Nordheim EV (1989) Fungal immigration dynamics and community development on apple leaves. Microb Ecol 18:45–58
Kinkel LL, Andrews JH, Berbee FM, Nordheim EV (1987) Leaves as islands for microbes. Oecologia 71:405–408
Lambshead PJ, Platt HM (1985) Structural patterns of marine benthic assemblages and their relationship with empirical statistical models. In: Gibbs PE (ed) Proceedings of the Nineteenth European Marine Biology Symposium. Cambridge University Press, Cambridge, UK, pp 371–380
May RM (1975) Patterns of species abundance and diversity. In: Cody ML, Diamond JM (eds) Ecology and evolution of communities. Belknap Press, Cambridge, UK, pp 81–120
McCune B, Allen TFH (1985) Will similar forests develop on similar sites? Can J Bot 63:367–376
Osman RW (1977) The establishment and development of a marine epifaunal community. Ecol Mono 47:37–63
Parbery IH, Brown JF, Bofinger VJ (1981) Statistical methods in the analysis of phylloplane populations. In: Blakeman JP (ed) Microbial ecology of the phylloplane. Academic Press, New York, pp 47–68
Patrick R (1967) The effect of invasion rate, species pool, and size of area on the structure of the diatom community. Proc Natl Acad Sci USA 58:1335–1342
Pielou EC (1975) Ecological diversity. John Wiley and Sons, New York
Pielou EC (1977) Mathematical ecology. John Wiley and Sons, New York
Preston FW (1948) The commonness and rarity of species. Ecology 29:254–283
Preston FW (1962) The canonical distribution of commonness and rarity. Parts 1 and 2. Ecology 43:185–215, 410–432
Rao CR (1971) Some comments on the logarithmic series distribution in the analysis of insect trap data. In: Patil GP, Pielou EC, Waters WE (eds) Statistical ecology. Pennsylvania State University Press, University Park, pp 131–142
Routledge RD (1980) The form of species-abundance distributions. J Theor Biol 82:547–558
Schoener A, Long ER, DePalma JR (1978) Geographic variation in artificial colonization curves. Ecology 59:367–382
Seifert RP (1981) Applications of a mycological data base to principles and concepts of population and community ecology. In: Wicklow DT, Carroll GC (eds) The fungal community: Its organization and role in the ecosystem. Marcel Dekker, New York, pp 11–24
Smith CS, Chand T, Harris RF, Andrews JH (1989) Colonization of a submersed aquatic plant, Eurasian watermilfoil (Myriophyllum spicatum), by fungi under controlled conditions. Appl Environ Microb 55:2326–2332
Snedecor GW, Cochran WG (1980) Statistical methods. The Iowa State University Press, Ames
Thomas MR, Shattock RC (1986) Filamentous fungal associations in the phylloplane of Lolium perenne. Trans Brit Mycol Soc 87:255–268
Underwood AJ, Denley EJ (1984) Paradigms, explanations, and generalizations in models for the structure of intertidal communities on rocky shores. In: Strong DR, Simberloff D, Abele L, Thistle A (eds) Ecological communities: Conceptual issues and the evidence. Princeton University Press, Princeton, pp 151–180
White DC (1983) Analysis of micro-organisms in terms of quantity and activity in natural environments. In: Slater JH, Whittenbury R, Wimpenny JWT (eds) Microbes in their natural environments. Cambridge University Press, Cambridge, UK, pp 37–66
Wildman HG (1987) Fungal colonization of resources in soil an island biogeographical approach. Trans Brit Mycol Soc 88:291–297
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Kinkel, L.L., Nordheim, E.V. & Andrews, J.H. Microbial community analysis in incompletely or destructively sampled systems. Microb Ecol 24, 227–242 (1992). https://doi.org/10.1007/BF00167783
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DOI: https://doi.org/10.1007/BF00167783