×

Maintenance affects the stability of a two-tiered microbial ‘food chain’? (English) Zbl 1405.92306

Summary: Microbial ‘food chains’ are fundamentally different from canonical food chains in the sense that the waste products of the organisms on one trophic level are consumed by organisms of the next trophic level rather than the organisms themselves. In the present paper we introduce a generalised model of a two-tiered microbial ‘food chain’ with feedback inhibition, after applying an appropriate dimensionless transformation, and investigate its stability analytically. We then parameterised the model with consensus values for syntrophic propionate degradation compiled by the IWA task group for mathematical modelling of anaerobic digestion processes. Consumption of energy for all processes other than growth is called maintenance. In the absence of maintenance and decay the microbial ‘food chain’ is intrinsically stable, but when decay is included in the description this is not necessarily the case. We point out that this is in analogy to canonical food chains where introduction of maintenance in the description of a stable (equilibrium or limit cycle) predator-prey system generates chaos.

MSC:

92D40 Ecology
92D25 Population dynamics (general)
34D20 Stability of solutions to ordinary differential equations

Software:

AUTO

References:

[1] Amundson, N., Mathematical methods in chemical engineering: matrices and their application, (1966), Prentice-Hall Englewood Cliffs, NJ · Zbl 0348.15002
[2] Baltzis, B.C.; Fredrickson, A.G., Coexistence of two microbial populations competing for a renewable resource in a non-predator – prey system, Bull. math. biol., 46, 155-174, (1984) · Zbl 0532.92027
[3] Doedel, E.J., Champneys, A.R., Fairgrieve, T.F., Kuznetsov, Y.A., Sandstede, B., Wang, X., 1997. Auto 97: continuation and bifurcation software for ordinary differential equations. Technical Report, Concordia University, Montreal, Canada.; Doedel, E.J., Champneys, A.R., Fairgrieve, T.F., Kuznetsov, Y.A., Sandstede, B., Wang, X., 1997. Auto 97: continuation and bifurcation software for ordinary differential equations. Technical Report, Concordia University, Montreal, Canada.
[4] Dolfing, J., Acetogenesis, (), 417-468
[5] Dolfing, J.; Prins, R., Methanogenic ‘food chains’, ASM news, 62, 117-118, (1996)
[6] Fredrickson, A.G.; Tsuchiya, H.M., Microbial kinetics and dynamics, (), 405-483
[7] Gross, T., Population dynamics: general results from local analysis, (2004), Der Andere Verlag Tonningen, Germany
[8] Gross, T.; Ebenhoh, W.; Feudel, U., Long food chains are in general chaotic, Oikos, 109, 135-144, (2005)
[9] Gross, T.; Feudel, U., Generalized models as a universal approach to the analysis of nonlinear dynamical systems, Physical review E, 73, 016205, (2006)
[10] Gross, T.; Rudolf, L.; Levin, S.A.; Dieckmann, U., Generalised models reveal stabilizing factors in food webs, Science, 325, 747-750, (2009)
[11] Gurney, W.S.C.; Nisbet, R.M., Ecological dynamics, (1998), Oxford University Press Oxford
[12] Hess, J.; Bernard, O., Design and study of a risk management criterion for an unstable anaerobic wastewater treatment process, J. proc. cont., 18, 71-79, (2008)
[13] IWA Task Group for Mathematical Modelling of Anaerobic Digestion Processes, 2002. Anaerobic Digestion Model no. 1. Scientific and Technical Report no. 13. IWA Publishing, London.; IWA Task Group for Mathematical Modelling of Anaerobic Digestion Processes, 2002. Anaerobic Digestion Model no. 1. Scientific and Technical Report no. 13. IWA Publishing, London.
[14] Koch, M.; Dolfing, J.; Wuhrmann, K.; Zehnder, A.J.B., Pathway of propionate degradation by enriched methanogenic cultures, Appl. environ. microb., 45, 1411-1414, (1983)
[15] Kooi, B.W.; Boer, M.P.; Kooijman, S.A.L.M., Consequences of population models for the dynamics of food chains, Math. biosci., 153, 99-124, (1998) · Zbl 0939.92034
[16] Kooi, B.W.; Boer, M.P., Chaotic behaviour of a predator – prey system in the chemostat, Dyn. cont. discrete impulsive syst. B: appl. algorithms, 10, 259-272, (2003) · Zbl 1146.34319
[17] Kot, M.; Sayler, G.S.; Schultz, T.W., Complex dynamics in a model microbial system, Bull. math. biol., 54, 619-648, (1992) · Zbl 0761.92041
[18] May, R.M., Stability and complexity in model ecosystems, (1974), Princeton University Press
[19] Mosey, F.E., Mathematical modelling of the anaerobic digestion process: regulatory mechanisms for the formation of short-chain volatile acids from glucose, Water sci. technol., 15, 209-232, (1983)
[20] Ramirez, I.; Volcke, E.I.P.; Rajinikanth, R.; Steyer, J.P., Modeling microbial diversity in anaerobic digestion through an extended adm1 model, Water res., 43, 2787-2800, (2009)
[21] Schink, B., Energetics of syntrophic cooperation in methanogenic degradation, Microbiol. mol. biol. rev., 61, 262-280, (1997)
[22] Shen, S.; Premier, G.C.; Guwy, A.; Dinsdale, R., Bifurcation and stability analysis of an anaerobic digestion model, Nonlinear dyn., 48, 391-408, (2007) · Zbl 1176.92057
[23] Siegrist, H.; Renggli, D.; Guyer, W., Mathematical modelling of anaerobic mesophilic sewage sludge treatment, Water sci. technol., 27, 25-36, (1993)
[24] Stiefs, D.; Gross, T.; Steuer, R.; Feudel, U., Computation and visualization of bifurcation surfaces, Int. J. bifurcation chaos, 18, 2191-2206, (2008) · Zbl 1165.34366
[25] Van Lier, J.B.; Mahmoud, N.A.; Zeeman, G., Anaerobic wastewater treatment, ()
[26] Van Lier, J.B.; Tilche, A.; Ahring, B.K.; Macarie, H.; Moletta, R.; Dohanyos, M.; Hulshoff Pol, L.W.; Lens, P.; Verstraete, W., New perspectives in anaerobic digestion, Water sci. technol., 43, November, 1-18, (2001)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.