For nearly a century, ecologists have described how predators eat with a deceptively simple piece of mathematics: the functional response. This curve relates the rate at which a predator consumes prey to the density of prey available, and it underpins virtually every model of food webs, from classic textbook equations to modern ecosystem simulations. But a new study argues that for many real-world generalist predators, the entire conceptual foundation of the functional response may be fundamentally flawed. When individual predators within a population each commit to a narrow dietary specialty, the population as a whole cannot be treated as a single homogeneous forager, and the consequences for how we model ecosystems could be profound.
The research, published in BMC Biology by Andrew Y. Morozov of the University of Leicester, Boris W. Berkhout of the University of Amsterdam, and Donald DeAngelis of the University of Miami, combines laboratory experiments on a striking freshwater predator with a new mathematical framework that explicitly represents the internal structure of predator populations. The team’s central claim is provocative: if individual foragers develop stable preferences for particular food resources, then feeding cannot be described using traditional functional responses based on total predator density alone.
The empirical anchor of the study is the assassin snail, Anentome helena, a freshwater gastropod that feeds on other, non-predatory snails. On paper, this species looks like a textbook generalist: across its range it attacks a variety of prey snails, and the population as a whole exploits a broad feeding niche. But when the researchers ran controlled feeding experiments, offering individual assassin snails a menu of prey species including ramshorn snails, trumpet snails, pond snails, and quilted melania snails, a very different picture emerged. Individual predators displayed strong and persistent preferences for particular prey types, and the feeding niche of each individual was far narrower than that of the predator population as a whole.
This pattern, in which a generalist population is effectively composed of cohorts of specialists, is not merely a curiosity of snail behaviour. The authors argue it is likely widespread in nature, arising whenever individual predators learn to handle one prey type efficiently, imprint on a particular foraging strategy, or simply differ in their innate tendencies. In such populations, the aggregate functional response measured at the population level is a statistical artefact, a blend of many narrow individual responses, and using it in models can mask the true dynamics of predation.
To address this, the researchers developed a generic modelling framework in which the predator population is explicitly divided into specialist cohorts, each dedicated to a particular prey species. Crucially, individuals are not locked into their cohorts forever. The framework allows predators to switch between specialist strategies, with the switching governed by the relative profitability of each foraging option. When a particular prey species becomes abundant and profitable, more predators drift toward specialising on it; when that prey declines, individuals gradually abandon the strategy and adopt alternatives. This dynamic reallocation of foraging effort within the predator population is the mathematical heart of the new approach.
The team embedded this structured predator population into a tri-trophic food web model, complete with a basal resource, multiple competing prey species, and the cohort-structured predator. They then compared its behaviour against two classical alternatives: a model in which the generalist predator feeds on all prey according to a multi-prey Holling type III functional response with frequency-dependent food selectivity, and a model in which the prey are each attacked by their own dedicated specialist predator species. The comparison reveals just how much hinges on the assumption of homogeneity within predator populations.
The most striking result concerns coexistence. In the classical framework, a generalist predator feeding on several competing prey tends to destabilise the system or eliminate inferior competitors, because the predator concentrates its attack on whichever prey is currently most abundant, driving boom-and-bust cycles that often end in extinctions. In the new cohort-structured model, by contrast, the internal division of labour within the predator population promotes the coexistence of competing prey species. Because only a fraction of the predator population specialises on any given prey at a time, no single prey species faces the full brunt of predation, and inferior competitors can persist in the shadow of their dominant rivals.
Yet coexistence comes with a caveat that ecologists may find unsettling: the outcome depends on the initial configuration of specialist cohorts within the predator population. In other words, the same community, with the same species and the same environmental conditions, can arrive at different long-term states depending on how the predators’ dietary specialisations were distributed at the start. This sensitivity to initial conditions challenges the classical assumption that ecological communities converge on a predictable equilibrium determined solely by their parameters.
The model also generates a dynamical pattern that, according to the authors, has not been reported in previous predator-prey models: pronounced oscillations in prey densities while the total predator density remains approximately constant. In this regime, the predator population acts as a kind of steady regulatory backdrop, its overall numbers barely changing, while the composition of its specialist cohorts shifts continuously in response to the fluctuating prey. Individual prey species rise and crash in succession, but the predator community as a whole absorbs these swings through internal reallocation rather than demographic change. This decoupling of prey fluctuations from predator abundance is invisible to any model that treats the predator as a homogeneous mass.
Beyond these specific findings, the framework points to broader ecological implications. The authors highlight the potential for long-term ecological transients, extended periods in which community composition keeps shifting for very long times before settling, if it settles at all. Such transients could help explain why some ecosystems appear to be in perpetual flux even under stable environmental conditions. The structured-predator perspective also offers a mechanistic route to the high biodiversity observed in many natural communities, suggesting that the hidden dietary structure within predator populations may be an underappreciated engine of species coexistence.
The study amounts to a critical reappraisal of one of ecology’s oldest modelling conventions. The functional response has served the field well, but the authors argue it rests on an implicit assumption of homogeneity that frequently fails in nature. Their alternative does not discard the functional response entirely; rather, it embeds individual feeding preferences and strategy switching into the population-level description, producing a richer and, they argue, more realistic account of how generalist predators regulate prey. For ecologists modelling pest control, conservation, or food web dynamics, the message is that who eats what within a predator population matters just as much as how much the population eats in total.
The work also illustrates the value of pairing simple experimental systems with abstract theory. The assassin snail, a popular species in the aquarium trade, provided a tractable window into individual-level feeding decisions that would be difficult to observe in large vertebrate predators. By translating those observations into a general mathematical structure, the researchers have produced a tool that can, in principle, be applied wherever individual predators show stable dietary specialisation, from insects parasitising specific host species to fish specialising on particular foraging grounds.
As food web ecology grapples with predicting how communities will respond to environmental change, models that capture within-population structure may prove essential. If generalist predators everywhere are really assemblies of hidden specialists, then the regulation of prey populations, and the biodiversity those populations support, may depend on dynamics that classical theory has never been able to see.
Subject of Research: Modelling the regulation of prey populations by generalist predators composed of individual feeding specialists
Article Title: A novel framework to modelling regulation of prey populations by a generalist predator
Article References: Morozov, A. Y., Berkhout, B. W., & DeAngelis, D. (2026). A novel framework to modelling regulation of prey populations by a generalist predator. BMC Biology. https://doi.org/10.1186/s12915-026-02732-2
Image Credits: AI Generated
DOI: 10.1186/s12915-026-02732-2
Keywords: predator-prey interaction, functional response, generalist predator, food webs, Anentome helena, ecological modelling, species coexistence, ecological transients, feeding behaviour, specialist cohorts, population structure, theoretical ecology
Cite Scienmag News
Gavin Prescott. (September 20, 2026). When Generalist Predators Are Really Specialists: New Model Rewrites Prey Regulation. Scienmag. https://scienmag.com/when-generalist-predators-are-really-specialists-new-model-rewrites-prey-regulation/
Gavin Prescott. "When Generalist Predators Are Really Specialists: New Model Rewrites Prey Regulation." Scienmag, 20 September 2026, https://scienmag.com/when-generalist-predators-are-really-specialists-new-model-rewrites-prey-regulation/. Accessed 20 September 2026.
Gavin Prescott. "When Generalist Predators Are Really Specialists: New Model Rewrites Prey Regulation." Scienmag. September 20, 2026. https://scienmag.com/when-generalist-predators-are-really-specialists-new-model-rewrites-prey-regulation/

