Literature DB >> 30636966

Statistical physics of community ecology: a cavity solution to MacArthur's consumer resource model.

Madhu Advani1, Guy Bunin2, Pankaj Mehta3.   

Abstract

A central question in ecology is to understand the ecological processes that shape community structure. Niche-based theories have emphasized the important role played by competition for maintaining species diversity. Many of these insights have been derived using MacArthur's consumer resource model (MCRM) or its generalizations. Most theoretical work on the MCRM has focused on small ecosystems with a few species and resources. However theoretical insights derived from small ecosystems many not scale up large ecosystems with many resources and species because large systems with many interacting components often display new emergent behaviors that cannot be understood or deduced from analyzing smaller systems. To address these shortcomings, we develop a statistical physics inspired cavity method to analyze MCRM when both the number of species and the number of resources is large. Unlike previous work in this limit, our theory addresses resource dynamics and resource depletion and demonstrates that species generically and consistently perturb their environments and significantly modify available ecological niches. We show how our cavity approach naturally generalizes niche theory to large ecosystems by accounting for the effect of collective phenomena on species invasion and ecological stability. Our theory suggests that such phenomena are a generic feature of large, natural ecosystems and must be taken into account when analyzing and interpreting community structure. It also highlights the important role that statistical-physics inspired approaches can play in furthering our understanding of ecology.

Entities:  

Year:  2018        PMID: 30636966      PMCID: PMC6329381          DOI: 10.1088/1742-5468/aab04e

Source DB:  PubMed          Journal:  J Stat Mech        ISSN: 1742-5468            Impact factor:   2.231


  14 in total

Review 1.  Effective models and the search for quantitative principles in microbial evolution.

Authors:  Benjamin H Good; Oskar Hallatschek
Journal:  Curr Opin Microbiol       Date:  2018-12-06       Impact factor: 7.934

2.  Stabilization of extensive fine-scale diversity by ecologically driven spatiotemporal chaos.

Authors:  Michael T Pearce; Atish Agarwala; Daniel S Fisher
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-09       Impact factor: 11.205

3.  Constrained optimization as ecological dynamics with applications to random quadratic programming in high dimensions.

Authors:  Pankaj Mehta; Wenping Cui; Ching-Hao Wang; Robert Marsland
Journal:  Phys Rev E       Date:  2019-05       Impact factor: 2.529

4.  Effect of Resource Dynamics on Species Packing in Diverse Ecosystems.

Authors:  Wenping Cui; Robert Marsland; Pankaj Mehta
Journal:  Phys Rev Lett       Date:  2020-07-24       Impact factor: 9.161

5.  Thermodynamic constraints on the assembly and diversity of microbial ecosystems are different near to and far from equilibrium.

Authors:  Jacob Cook; Samraat Pawar; Robert G Endres
Journal:  PLoS Comput Biol       Date:  2021-12-03       Impact factor: 4.475

6.  Diverse communities behave like typical random ecosystems.

Authors:  Wenping Cui; Robert Marsland; Pankaj Mehta
Journal:  Phys Rev E       Date:  2021-09       Impact factor: 2.529

7.  Engineering complex communities by directed evolution.

Authors:  Chang-Yu Chang; Jean C C Vila; Madeline Bender; Richard Li; Madeleine C Mankowski; Molly Bassette; Julia Borden; Stefan Golfier; Paul Gerald L Sanchez; Rachel Waymack; Xinwen Zhu; Juan Diaz-Colunga; Sylvie Estrela; Maria Rebolleda-Gomez; Alvaro Sanchez
Journal:  Nat Ecol Evol       Date:  2021-05-13       Impact factor: 15.460

8.  Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities.

Authors:  Robert Marsland; Wenping Cui; Joshua Goldford; Alvaro Sanchez; Kirill Korolev; Pankaj Mehta
Journal:  PLoS Comput Biol       Date:  2019-02-05       Impact factor: 4.475

9.  Dynamic metabolic adaptation can promote species coexistence in competitive microbial communities.

Authors:  Leonardo Pacciani-Mori; Andrea Giometto; Samir Suweis; Amos Maritan
Journal:  PLoS Comput Biol       Date:  2020-05-07       Impact factor: 4.475

10.  The Community Simulator: A Python package for microbial ecology.

Authors:  Robert Marsland; Wenping Cui; Joshua Goldford; Pankaj Mehta
Journal:  PLoS One       Date:  2020-03-24       Impact factor: 3.240

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