2022
DOI: 10.48550/arxiv.2212.06136
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Complex systems in Ecology: a guided tour with large Lotka-Volterra models and random matrices

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Cited by 2 publications
(3 citation statements)
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“…), different variations in interaction strength (e.g., Var A (11) ij = 0.01,0.02, …), and variations in trophic efficiency (i.e., A (12) ik = e A (21) lj with e < 1). These assumptions are standard practice in parameterizing the Lotka-Volterra model (Akjouj et al, 2022;Bunin, 2017;Gibbs et al, 2022;Serván et al, 2018;. Detailed descriptions of our parameterization methods are provided in Appendix S2.…”
Section: Robustness Of Assembly Patternsmentioning
confidence: 99%
“…), different variations in interaction strength (e.g., Var A (11) ij = 0.01,0.02, …), and variations in trophic efficiency (i.e., A (12) ik = e A (21) lj with e < 1). These assumptions are standard practice in parameterizing the Lotka-Volterra model (Akjouj et al, 2022;Bunin, 2017;Gibbs et al, 2022;Serván et al, 2018;. Detailed descriptions of our parameterization methods are provided in Appendix S2.…”
Section: Robustness Of Assembly Patternsmentioning
confidence: 99%
“…In this work we wish to shine some light on the stability matrices of general disordered systems whose linearized dynamics gives rise to a non-trivial correlation structure contained within blocks. Let us motivate our work by starting at a typical Lotka-Volterra equation [11,13,14,37] written for a system of N species as…”
Section: Stability Analysis Of Complex Systems With Internal Degrees ...mentioning
confidence: 99%
“…Ever since Sir Robert May proposed his theory of ecological stability based on the properties of random matrices [1], there has been an large body of work extending his seminal insight to various ecological situations (see e.g. [2][3][4][5][6][7][8][9][10], and [11] for a review) as well as the more recent statistical mechanics approaches to the full non-linear analysis and marginal stability properties of such systems [12][13][14][15][16]. Interestingly, similar ideas have also appeared in the context of economic networks, see [17][18][19], and of random good-exchange networks [20] or of more general complex interacting systems [21].…”
Section: Introductionmentioning
confidence: 99%