Search Advanced

Mathematical Biosciences and Engineering

2016, Volume 13, Issue 2: 303-332. doi: 10.3934/mbe.2015004
Previous Article Next Article

Pattern analysis in a benthic bacteria-nutrient system

  • 1.
    Institut für Mathematik, Universität Oldenburg, 26111 Oldenburg
  • Received: 01 August 2014 Accepted: 29 June 2018 Published: 25 November 2015

  • MSC : 65P30, 92B99.

  • We study steady states in a reaction-diffusion system for a benthic bacteria-nutrient model in a marine sediment over 1D and 2D domains by using Landau reductions and numerical path following methods. We point out how the system reacts to changes of the strength of food supply and ingestion. We find that the system has a stable homogeneous steady state forrelatively large rates of food supply and ingestion, while this state becomes unstable if one of these rates decreases and Turing patterns such as hexagons and stripes start to exist. One of the main results of the present work is a global bifurcation diagram for solutions over a bounded 2D domain. This bifurcation diagram includes branches of stripes, hexagons, and mixed modes. Furthermore, we find a number of snaking branches of stationary states, which are spatial connections between homogeneous states and hexagons, homogeneous states and stripes as well as stripes and hexagons in parameter ranges, where both corresponding states are stable.The system under consideration originally contains some spatially varying coefficients and with these exhibits layerings of patterns.The existence of spatial connections between different steady states in bistable ranges shows that spatially varying patterns are not necessarily due to spatially varying coefficients.
        The present work gives another example, where these effects arise and shows how the analytical and numerical observations can be used to detect signs that a marine bacteria population is in danger to die out or on its way to recovery, respectively.
        We find a type of hexagon patches on a homogeneous background, which seems to be new discovery. We show the first numerically calculated solution-branch, which connects two different types of hexagons in parameter space. We check numerically for bounded domains whether the stability changes for hexagons and stripes, which are extended homogeneously into the third dimension. We find that stripes and one type of hexagons have the same stable range over bounded 2D and 3D domains. This does not hold for the other type of hexagons. Their stable range is shorter for the bounded 3D domain, which we used here.We find a snaking branch, which bifurcates when the hexagonal prisms loose their stability. Solutions on this branch connects spatially between hexagonal prisms and a genuine 3D pattern (balls).

    Citation: Daniel Wetzel. Pattern analysis in a benthic bacteria-nutrient system[J]. Mathematical Biosciences and Engineering, 2016, 13(2): 303-332. doi: 10.3934/mbe.2015004

    Related Papers:

  • We study steady states in a reaction-diffusion system for a benthic bacteria-nutrient model in a marine sediment over 1D and 2D domains by using Landau reductions and numerical path following methods. We point out how the system reacts to changes of the strength of food supply and ingestion. We find that the system has a stable homogeneous steady state forrelatively large rates of food supply and ingestion, while this state becomes unstable if one of these rates decreases and Turing patterns such as hexagons and stripes start to exist. One of the main results of the present work is a global bifurcation diagram for solutions over a bounded 2D domain. This bifurcation diagram includes branches of stripes, hexagons, and mixed modes. Furthermore, we find a number of snaking branches of stationary states, which are spatial connections between homogeneous states and hexagons, homogeneous states and stripes as well as stripes and hexagons in parameter ranges, where both corresponding states are stable.The system under consideration originally contains some spatially varying coefficients and with these exhibits layerings of patterns.The existence of spatial connections between different steady states in bistable ranges shows that spatially varying patterns are not necessarily due to spatially varying coefficients.
        The present work gives another example, where these effects arise and shows how the analytical and numerical observations can be used to detect signs that a marine bacteria population is in danger to die out or on its way to recovery, respectively.
        We find a type of hexagon patches on a homogeneous background, which seems to be new discovery. We show the first numerically calculated solution-branch, which connects two different types of hexagons in parameter space. We check numerically for bounded domains whether the stability changes for hexagons and stripes, which are extended homogeneously into the third dimension. We find that stripes and one type of hexagons have the same stable range over bounded 2D and 3D domains. This does not hold for the other type of hexagons. Their stable range is shorter for the bounded 3D domain, which we used here.We find a snaking branch, which bifurcates when the hexagonal prisms loose their stability. Solutions on this branch connects spatially between hexagonal prisms and a genuine 3D pattern (balls).


    加载中
    [1] SIAM J. Appl. Dyn. Syst., 9 (2010), 704-733.
    [2] Science, 331 (2011), 1309-1312.
    [3] Math. Biosci. Eng., 1 (2004), 111-130.
    [4] Physics of Fluids, 25 (2013), 114102.
    [5] SIAM J. Math. Anal., 41 (2009), 936-972.
    [6] Physical review letters, 91 (2003), 058302.
    [7] Phys.Rev.E, 78 (2008), 046201, 16 pp.
    [8] Ber. Forschungsz. Terramare, 12 (2003), 32-35.
    [9] Applied and Environmental Microbiology, 68 (2002), 3978-3987.
    [10] Applied and environmental microbiology, 69 (2003), 1980-1989.
    [11] Phys. Rev. E, 73 (2006), 056211, 15pp.
    [12] Chaos, 17 (2007), 037102, 15pp.
    [13] Nonlinearity, 10 (1997), 1179-1216.
    [14] Physica D: Nonlinear Phenomena, 132 (1999), 339-362.
    [15] Princeton University Press, 2003.
    [16] Phys. Rev. Lett., 64 (1990), 2953-2956.
    [17] Physica D, 238 (2009), 319-354.
    [18] SIAM J. Appl. Dyn. Syst., 7 (2008), 186-206.
    [19] SIAM J. Appl. Dyn. Syst., 8 (2009), 909-930.
    [20] Nonlinearity, 24 (2011), 3323-3351.
    [21] European J. Appl. Math., 14 (2003), 85-110.
    [22] FEMS Microbiology Ecology, 66 (2008), 282-294.
    [23] Biological Cybernetics, 12 (1972), 30-39.
    [24] Physica D: Nonlinear Phenomena, 10 (1984), 249-276.
    [25] Phys. Rev. E, 89 (2014), 022701.
    [26] Phys. Rev. E, 51 (1995), 2046-2052.
    [27] Phys.Rev.E, 80 (2009), 026210.
    [28] Cambridge University Press., Cambridge, UK, 2006.
    [29] Phys. Rev. Letters, 103 (2009), 164501.
    [30] Physical Review E, 80 (2009), 066204.
    [31] Physica D, 253 (2013), 23-39.
    [32] SIAM J. Appl. Dyn. Syst., 7 (2008), 1049-1100.
    [33] BioGeoChemistry of Tidal Flats (J. Rullkötter, ed.). Forschungszentrum Terramare, Wilhelmshaven, 91-93.
    [34] Phys.Rev.A, 42 (1990), 7244-7263.
    [35] Chaos, Solitons, and Fractals, 19 (2004), 367-376, URL http://www.sciencedirect.com/science/article/pii/S0960077903000493, Fractals in Geophysics.
    [36] Annual Review of Microbiology, 3 (1949), 371-394.
    [37] Oceanologia, 42.
    [38] Springer-Verlag, Berlin, 1989.
    [39] Springer, 2006.
    [40] Physica D, 23 (1986), 3-11.
    [41] http://www.mathe.tu-freiberg.de/files/personal/255/oopde-quickstart-guide-2015.pdf.
    [42] Handbook of Dynamical Systems, Elsevier Science, 2 (2002), 983-1055.
    [43] Ecological Complexity, 20 (2014), 81-96.
    [44] Geomicrobiology Journal, 20 (2003), 463-478.
    [45] Physical Review A, 15 (1977), p319.
    [46] Physical review letters, 75 (1995), p1859.
    [47] Philosophical transaction of the Royal Society of London - B, 237 (1952), 37-72.
    [48] SIAM J. Appl. Dyn. Syst., 13 (2014), 94-128.
    [49] Numer. Math. Theor. Meth. Appl., 7 (2014), 58-106.
    [50] Advances in botanical research, 40 (2003), 183-240.
    [51] Phys. Rev. Lett., 87 (2001), 198101.
    [52] Annu. Rev. Genet., 43 (2009), 197-222.
    [53] Phil. Trans. R. Soc. B, 362 (2007), 1119-1134.
    [54] Physica D, 129 (1999), 147-170.
    [55] Chaos: An Interdisciplinary Journal of Nonlinear Science, 16 (2006), 037114.
    [56] Physica A: Statistical Mechanics and its Applications, 356 (2005), 139-144, URL http://EconPapers.repec.org/RePEc:eee:phsmap:v:356:y:2005:i:1:p:139-144.
  • Reader Comments
  • © 2016 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Mathematical Biosciences and Engineering
2.6 3.9

Metrics

Article views(2086) PDF downloads(550) Cited by(5)

Preview PDF
Download XML
Export Citation
Article outline

Other Articles By Authors

Related pages

Tools

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog