Evolutionary rescue from antagonistic invaders: Birth-limiting competition among residents can aid rescue

preprint OA: closed CC-BY-NC-ND-4.0

Abstract

From invasive predators displacing wildlife to medically deployed bacteriophages eliminating pathogens, biological invasions by antagonists are a fundamental driver of extinction, with implications for both conservation and medicine. Resident populations facing such invasions can sometimes avoid extinction through adaptation, a process known as evolutionary rescue. Here, an analytical approximation is derived for the probability of evolutionary rescue from antagonistic invaders, focusing on how rescue depends on a key antagonist trait—victim specificity. Rescue is shown to be most likely either when invaders are slow-spreading, resident-dependent specialists whose failure to encounter suitable victims buys time for mutation, or when invaders are fast-spreading generalists that rapidly relieve standing genetic variation of intraspecific competition. The central result is that, whether invaders are generalists or specialists, a lower resident birth rate can facilitate rescue relative to a higher one by diminishing the effect of demographic stochasticity on mutant establishment. If the lower birth rate is density-independent, it primarily promotes rescue from generalists, whereas if it arises from birth-limiting competition it can also appreciably aid rescue from specialists. Overall, the results suggest that invader victim specificity can reshape evolutionary rescue by dynamically coupling the rate of resident decline to the growth rate of the stressor driving the decline, with resident life history mediating the outcome.
Full text 1,632 characters · extracted from oa-html · click to expand
Abstract From invasive predators displacing wildlife to medically deployed bacteriophages eliminating pathogens, biological invasions by antagonists are a fundamental driver of extinction, with implications for both conservation and medicine. Resident populations facing such invasions can sometimes avoid extinction through adaptation, a process known as evolutionary rescue. Here, an analytical approximation is derived for the probability of evolutionary rescue from antagonistic invaders, focusing on how rescue depends on a key antagonist trait—victim specificity. Rescue is shown to be most likely either when invaders are slow-spreading, resident-dependent specialists whose failure to encounter suitable victims buys time for mutation, or when invaders are fast-spreading generalists that rapidly relieve standing genetic variation of intraspecific competition. The central result is that, whether invaders are generalists or specialists, a lower resident birth rate can facilitate rescue relative to a higher one by diminishing the effect of demographic stochasticity on mutant establishment. If the lower birth rate is density-independent, it primarily promotes rescue from generalists, whereas if it arises from birth-limiting competition it can also appreciably aid rescue from specialists. Overall, the results suggest that invader victim specificity can reshape evolutionary rescue by dynamically coupling the rate of resident decline to the growth rate of the stressor driving the decline, with resident life history mediating the outcome. Competing Interest Statement The authors have declared no competing interest.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-NC-ND-4.0