Abstract
This paper is an attempt to analyze the notion of ecological niche as a community of different species and of ecosystem as a set of niches in order to formulate a dynamical model for an ecosystem. Our assumption is that the concept of fitness landscape allows to model the phenotype dynamics of an ensemble of species as a stochastic process. To take into account the interaction structure of different communities in the niches and the environment we introduce an ecological fitness potential to formulate a Lotka-Volterra system which describes the evolution of a mutual ecosystem in presence of finite resources. To explicitly consider the effect of fluctuations in the numerousness of the species, we associate a master equation to the average Lotka-Volterra system and we study the conditions of existence of a detailed balance equilibrium (i.e. a thermodynamic equilibrium) for the ecosystem. The explicit solution for the equilibrium probability distribution is a multinomial negative distribution and we discuss the relation between the detailed balance condition and relative species abundance distribution in the framework of Hubbell’s neutral theory. Moreover the theoretical distribution implies the existence of a correlation among the relative species distribution associated to the different communities. We use numerical simulations to illustrate the results on simple models.
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References
Chase, J.M., Leibold, M.A.: Ecological Niches. Linking Classical and Contemporary Approaches. University of Chicago Press (2003)
Barabás, G., D’Andrea, R., Rael, R., Meszéna, G., Ostling, A.: Emergent neutrality or hidden niches? Oikos 122:1565–1572 (2013)
Ricklefs, R.E., Schluter, D. (eds.): Species Diversity in Ecological Communities: Historical and Geographical Perspectives. University of Chicago Press (1993)
Hendrik Richter, H., Engelbrecht, A. (eds.): Recent Advances in the Theory and Application of Fitness Landscapes Emergence. Complexity and Computation, vol. 6. Springer (2014)
Peterson, A.T., Soberôn, J., Pearson, R.G, Anderson, R.P., Martínez-Meyer, E., Nakamura, M., Bastos Araújo, M.: Species-environment relationships. Ecological Niches and Geographic Distributions (MPB-49), pp. 82. Princeton University Press (see also Chapter 2: “Concepts of niches”, pp. 7) (2011)
Hutchinson, G.E.: Concluding remarks. Cold Spring Harb. Symp. Quant. Biol. 22(2), 415–427 (1957)
Peterson, A.T., Soberôn, J., Pearson, R.G, Anderson, R.P., Martínez-Meyer, E., Nakamura, M., Bastos Araújo, M.: Major themes in niche concepts. Ecological Niches and Geographic Distributions (MPB-49), pp. 11. Princeton University Press (2011)
Lewontin, R.Ch.: The Triple Helix: Gene, Organism, and Environment. Harvard University Press (2000)
Anand, M., Gonzalez, A., Guichard, F., Kolasa, J., Parrott, L.: Ecological systems as complex systems: challenges for an emerging. Science Diversity 2, 395–410 (2010)
Sun, S.X., Hopkins, J.: Stochastic Models for Population Dynamics (2015). bioRxiv preprint doi: http://dx.doi.org/10.1101/031237
Chase, J.M., Leibold, M.A.: Ecological Niches. Linking Classical and Contemporary Approaches, vol. 212. University of Chicago Press, Chicago (2003)
Volkov, I., Banavar, J.R., Stephen, P., Hubbell, S.P., Maritan, A.: Patterns of relative species abundance in rainforests and coral reefs. Nature 450, 45–49 (2007)
Baldridge, E., David, J. Harris, D.J., Xiao, X., White, E.P.: An extensive comparison of species- abundance distribution models. PeerJ 4, e2823 (2016); doi: http://dx.doi.org/10.7717/peerj.2823
Scheffer, M., van Nes, E.H., Vergnon, R.: Toward a unifying theory of biodiversity. PNAS 115(4), 639–641 (2018)
Hubbell, S.P.: The Unified Neutral Theory of Biodiversity and Biogeography. Monographs in Population Biology. Princeton Univ. Press, Princeton (2001)
Beres, K.A., Wallace, R.L., Segers, H.H.: Rotifers and Hubbell’s unified neutral theory of biodiversity and biogeography. Nat. Resour. Model. 18(3), 363–376 (2005)
Harpole, W.: Neutral theory of species diversity. Nat. Educ. Knowl. 3(10), 60 (2010)
Matthews, T.J., Whittaker, R.J.: Neutral theory and the species abundance distribution: recent developments and prospects for unifying niche and neutral perspectives. Ecol. Evol. 4(11), 2263–2277 (2014)
Volkov, I., Banavar, J.R., Hubbell, S.P., Maritan, A.: Neutral theory and relative species abundance in ecology. Nature 424, 1035–1037 (2003)
Van Kampen, N.G.: Stochastic Processes in Physics and Chemistry. North-Holland, Amsterdam (2001)
Dornelas, M., Connolly, S.R., Hughes, T.P.: Coral reef diversity refutes the neutral theory of biodiversity. Nature 440, 80–82 (2006)
Azaele, S., Suweis, S., Grilli, J., Volkov, I., Banavar, J.R., Maritan, A.: Statistical mechanics of ecological systems: Neutral theory and beyond. Rev. Mod. Phys. 88, 035003 (2016)
McGill, B.J. et al.: Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework. Ecology Letters 10, 995–1015 (2007)
Allesina, S., Tang, S.: Stability criteria for complex ecosystems. Nature 483, 205–208 (2012)
Suweis, S., Grilli, J., Banavar, J.R., Allesina, S., Amos Maritan, A.: Effect of localization on the stability of mutualistic ecological networks. Nature Communications 6, 10179 (2015)
Landi, P., Minoarivelo, O.H., Brännström, A., Hiul, C., Dieckmann, U.: Complexity and stability of ecological networks: a review of the theory. Population Ecology 60, 319–345 (2018)
Narendra, G.S., Samarech, M.C., Elliott, W.M.: On the Lotka-Volterra and other nonlinear models of interacting populations. Rev. Mod. Phys. 43(2), 231–276 (1971)
Bazzani, A., Sala, C., Giampieri, E., Castellani, G.: Master equation and relative species abundance distribution for Lotka-Volterra models of interacting ecological communities. Theor. Biol. Forum 109(1-2), 37–47 (2016)
Purves, W.D., Pacala, W.S.: Ecological drift in niche-structured communities: neutral pattern does not imply neutral process. In: Biotic Interactions in the Tropics, pp. 107–138. Cambridge University Press (2005)
Holt, D.R.: Emergent neutrality. Trends Ecol. Evol. 21(10), 531–533 (2006)
Chisholm, R.A., Pacala, S.W.: Niche and neutral models predict asymptotically equivalent species abundance distributions in high-diversity ecological communities. PNAS 107(36), 15821–15825 (2010)
Xiao, Y., Angulo, M.T., Liu, Y., Friedman, J., Waldor, M.K., Weiss, S.T.: Mapping the ecological networks of microbial communities. Nature Communications 8, 2042 (2017)
Faust, K., Raes, J.: Microbial interactions: from networks to models. Nat. Rev. Microbiol. 10, 538–550 (2012)
Suweis, S., Simini, F., Banavar, J.R., Maritan, A.: Emergence of structural and dynamical properties of ecological mutualistic networks. Nature 500, 449–452 (2013)
Massen, C.P., Doye, J.P.K.: Power-law distributions for the areas of the basins of attrations on potential energy landscapes. Phys Rev. E 75, 037101 (2007)
Bazzani, A, Fani, R., Freguglia, P.: Modeling mutant distribution in a stressed Escherichia coli bacteria population using experimental data. Phys. A Stat. Mech. Appl. 393, 320–326 (2014)
Elias, M., Gompert, Z., Jiggins, C., Willmott, K.: Mutualistic interactions drive ecological niche convergence in a diverse butterfly community. PLoS Biol. 6(12), e300 (2008)
Dunne, J.A., Williams, R.J., Martinez, N.D.: Network topology and biodiversity loss in food webs: robustness increases with connectance. Ecology Letters 5(4), 558–567 (2002)
Chakrabarti, C.G., Ghosh, K.: Maximum-entropy principle: ecological organization and evolution. J. Biol. Phys. 36(2), 175–183 (2010)
Smith, E.: Large-deviation principles, stochastic effective actions, path entropies, and the structure and meaning of thermodynamic descriptions. Rep. Prog. Phys. 74, 046601 (2011)
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Freguglia, P., Andreotti, E., Bazzani, A. (2020). Modelling Ecological Systems from a Niche Theory to Lotka-Volterra Equations. In: Aguiar, M., Braumann, C., Kooi, B., Pugliese, A., Stollenwerk, N., Venturino, E. (eds) Current Trends in Dynamical Systems in Biology and Natural Sciences. SEMA SIMAI Springer Series, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-41120-6_1
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