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A practical guide to characterising ecological coexistence
Karl Franzens Univ Graz, Austria.
Univ Wyoming, WY 82071 USA.
Expt & Theoret Ecol Stn, France.
Linköping University, Department of Physics, Chemistry and Biology, Biology. Linköping University, Faculty of Science & Engineering. Linköping University, Department of Physics, Chemistry and Biology, Ecological and Environmental Modeling. Inst Evolut, Hungary.ORCID iD: 0000-0002-7355-3664
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2026 (English)In: Biological Reviews, ISSN 1464-7931, E-ISSN 1469-185X, Vol. 101, no 1, p. 195-220Article in journal (Refereed) Published
Abstract [en]

Coexistence is simultaneously one of the most fundamental concepts of ecology, and one of the most difficult to define. A particular challenge is that, despite a well-developed body of research, several different schools of thought have developed over the past century, leading to multiple independent, and largely isolated, branches of literature with distinct methodologies. Here, we provide a broad overview of the most common concepts and metrics currently used to detect and characterise ecological coexistence. We first introduce four classes of behaviour, which jointly describe the ways in which community dynamics can unfold: (i) the existence of a feasible steady state (or invariant set), i.e. where all coexisting species retain positive abundances in the long-term in the absence of interference by external forces; (ii) the existence of a local attractor that draws the community towards a feasible steady state from within a restricted set of starting conditions; (iii) the existence of a global attractor that draws the community towards feasible steady states from any non-zero starting condition; and (o) a null transient state, where species abundances vary over time irrespective of steady states and attractors. Next, we explain how these classes of behaviour relate to commonly used metrics for identifying and characterising coexistence, including analyses of parameter sensitivity, asymptotic return rates, invasion growth rates, and time to extinction. We then discuss the scope and limitations of each of these behavioural classes and corresponding metrics, with a particular focus on applications in empirical systems. Finally, we provide a potential workflow for matching empirical questions to theoretical tools, and present a brief prospectus looking forward to opportunities for advancing and integrating research on coexistence.

Place, publisher, year, edition, pages
WILEY , 2026. Vol. 101, no 1, p. 195-220
Keywords [en]
asymptotic return rate; ecological coexistence; empirically tractable; invasion growth rate; mutual invasibility; parameter sensitivity; structural stability; time to extinction
National Category
Ecology
Identifiers
URN: urn:nbn:se:liu:diva-218966DOI: 10.1111/brv.70079ISI: 001590799000001PubMedID: 41074258Scopus ID: 2-s2.0-105018632286OAI: oai:DiVA.org:liu-218966DiVA, id: diva2:2008363
Note

Funding Agencies|European Social Fund

Available from: 2025-10-22 Created: 2025-10-22 Last updated: 2026-05-26Bibliographically approved

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Barabas, György

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