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Conservation Physiology logoLink to Conservation Physiology
. 2026 Apr 8;14(1):coag021. doi: 10.1093/conphys/coag021

Embracing complexity at the physiology and behaviour interface will benefit conservation science

Suzanne Currie 1,#,, M Danielle McDonald 2,#,, Katherine A Sloman 3,#,
Editor: Andrea Fuller
PMCID: PMC13069989  PMID: 41969629

Abstract

Over recent years, the opinion that physiology or behaviour are the most sensitive indicators of environmental change has become less prominent, with the recognition that complex dynamic feedback loops exist between an individual’s physiology and behaviour. The fluidity of the physiology/behaviour interface and its sensitivity to abiotic factors, such as exposure to temperature change and low oxygen (hypoxia), or biotic factors, such as genetics, reproductive status or social interaction, form an organism’s context. Individual contexts can make the way animals respond to an environmental challenge difficult to predict and conservation efforts incredibly challenging. Our Perspective draws on examples from across the animal kingdom presented at the 2024 Society for Experimental Biology symposium, ‘Linking Physiology and Behaviour in a Changing World’, which investigated the interplay between an animal’s context and the environmental challenges they experience, in shaping the physiology/behaviour interface. Our Perspective highlights that if we want to address the conservation and biodiversity implications of the rapid environmental change we now face, it is critical that we continue to move away from reductionist methodologies and adopt holistic interdisciplinary approaches to provide conservation biologists with the tools they need to solve our most pressing conservation challenges.

Keywords: Abiotic, adaptation, biotic, developmental stage, environmental challenge, hypoxia, physiology/behaviour interface, reproductive status, social context, temperature, thermal preference

Introduction

One of the biggest challenges facing conservation scientists is how to predict the response of an organism to a rapidly changing world. Historically, scientists have considered the physiological and behavioural responses to environmental change as separate entities (Reese, 1996; Debaere et al., 2024). However, over the past 20 years, there has been increasing attention given not only to the inextricable links that exist between physiology and behaviour, but also to their importance in understanding how animals cope with environmental change (Gilmour et al., 2005; Killen et al., 2013). With the emergence of conservation physiology (Cooke et al., 2013), the scientific discipline applying physiological tools and concepts to understand and solve conservation challenges, there has been strong advocacy for the integration of animal behaviour and physiology (Cooke et al., 2014). Traditionally, using hierarchical levels of biological organization as a framework for understanding the different ways an organism may respond to a changing/challenging environment (e.g. Fig. 1 in Cooke et al., 2014), physiological processes at the cellular, organ and whole animal level have been considered to drive phenotypes (including behaviours), potentially leading to changes at the population level. With recent progress on the physiology/behaviour interface, it has become increasingly evident that rather than unidirectional causality between physiological processes and animal behaviour, there are fluid, correlative relationships between physiological and behavioural traits under changing environmental conditions (Killen et al., 2013). A complex dynamic feedback loop exists between behaviour and physiology that can make environmental impacts on animals problematic to predict and make conservation efforts and management decisions a moving target.

Figure 1.

Figure 1

(A) The physiology/behaviour interface of an animal is perfused by a variety of abiotic and biotic factors shaping its specific context. Here, the inner circle represents the animal’s context, with the outer coloured ring representing examples of abiotic or biotic factors, which come together to form the context the animal experiences. The physiology/behaviour interface, represented as a seesaw, is a balance where in some contexts behaviour may have a greater influence on physiology, or vice versa. The perpetual motion illustrated by the seesaw may sometimes be slow and steady but can also be changed by movement along the seesaw axis as indicated by the arrows. (B) The intertwining effects of abiotic (e.g. hypoxia, temperature) and biotic (e.g. sociality, reproduction, predation) factors forming an animal’s context dynamically shift on a continuous basis. The most pervasive factors (hypoxia in B panel of this figure) will change throughout an animal’s life span, and these shifts in influencing factors will affect the physiology/behaviour interface. (C) An external (abiotic or biotic) environmental challenge, illustrated here as a lightning bolt, can affect the physiology/behaviour interface directly or may interact with an animal’s existing context influencing how animals respond to the same external challenge.

It can be difficult to capture diagrammatically the complex interactions that represent the physiology/behaviour interface; previous discussions have tended towards flow diagrams and feedback loops. In this Perspective, we see the physiology/behaviour interface as a seesaw (Fig. 1A), illustrating the perpetual motion that exists between them. At times, the relative importance of ‘physiology’ or ‘behaviour’ in how an organism responds to environmental change may oscillate, more akin to a feedback loop where one influences the other, and this in turn is reciprocated. Here, one might imagine two children on a seesaw, well balanced in mass, moving continuously, and influencing each other in a relatively slow but steady manner. At other times, the interaction between behaviour and physiology may be so fast and integrated that they cannot be disentangled, better represented by two children moving towards each other in the centre of the seesaw. Thus, the interface represents a perpetual interaction. Recently, Debaere et al. (2024) defined physiology as the study of how an organism functions, including the relationship and interactions between numerous mechanisms and processes that operate in living organisms. They argued that behaviour should be considered a physiological process, where they defined physiological processes as coordinated actions and interactions of cells, tissues and organs necessary to achieve a desired response. In their Commentary, they recognize the challenges with the integration of behaviour as a physiological process, including the avoidance of oversimplification of either field. In our Perspective, we consider recognition of the complexity of an individual’s response to environmental challenge to be most important. From a conservation or management perspective, the response of an animal to environmental change will likely continue to be seen as ‘behavioural’ (e.g. activity, migration and foraging, aggression) or ‘physiological’ (e.g. heart rate, metabolic rate and brain activity) for the foreseeable future. Unfortunately, we likely lack time to wait for different disciplines to agree on terminologies.

Beyond the complexity within an individual, understanding how internal and external environmental contexts can shape the physiology/behaviour interface has also increased in the past decade. Here, we consider an animal’s context to be the agglomeration of all the abiotic and biotic factors it experiences daily, i.e. the background that shapes its physiology/behaviour interface (Fig. 1A). During different stages of its life, for example, during reproductive periods or shifts in seasonal temperature, the factors shaping an animal’s context will change in emphasis. It has long been recognized that physiological and behavioural traits vary across ecological contexts (Careau and Garland Jr, 2012) and that environmental context can strengthen, weaken or even dissolve behavioural–physiological linkages (Sih et al., 2004; Biro and Stamps, 2010; Madliger et al., 2018). For example, early research by Koolhaas et al. (1999) demonstrated that behavioural and physiological responses to ‘stress’ can be decoupled depending on environmental demands. Our goal here is to underscore the influence of internal and external contexts on the behaviour–physiology interface and to emphasize consideration of this complexity in conservation and management efforts (see below).

Understanding context is important in predicting how additional environmental challenges will affect the physiology/behaviour interface of an animal (Fig. 1B). Within the literature, the terms ‘environmental challenge’ and ‘stressor’ are often used interchangeably, and as above, we recognize that different fields tend towards different terminologies. Within our Perspective, we use ‘environmental challenge’ to describe any (usually short-term) challenge that moves an animal from predictive homeostasis to reactive homeostasis and possibly homeostatic failure or overload as defined by the Reactive Scope Model (Romero et al., 2009; Gilmour et al., 2025). Environmental challenges do not occur in isolation, and recent research has highlighted that impacts can combine additively, synergistically or antagonistically, with the concept of ‘multiple stressor’ approaches applied across a range of disciplines (Orr et al., 2020; Simmons et al., 2021; Pirotta et al., 2022). Thus, connectivity at the physiology/behaviour interface is influenced simultaneously by an animal’s context as well as the environmental challenge(s) they experience (Fig. 1C).

Despite the integration of physiology, behaviour and context occurring as a theme in conservation physiology for over a decade (Killen et al., 2013; Cooke et al., 2014; Madliger et al., 2018), recent reviews of the literature (Debaere et al., 2024; Killen et al., 2026) suggest that while this approach has increased in popularity, a widespread shift in thinking has not yet occurred. Clearly, the complexity of an animal’s behaviour, physiology and interactions with its environment cannot be captured through a single lens (Casarrubea, 2024) or via easily quantifiable measures. From our Perspective, we hope to highlight how different contexts and challenges influence the physiology/behaviour interface, inspired by the 2024 Society for Experimental Biology symposium, ‘Linking Physiology and Behaviour in a Changing World’, which provided us with integrative stories from across the animal kingdom. Through examples below, we show how studies that consider both behaviour and physiology across a range of contexts contribute to our understanding of what is an incredibly complex picture of how organisms respond to environmental change. Looking ahead, we then ask ‘What next?’ for the field and how might we move forward in informing conservation processes through more unified cross-disciplinary approaches.

Why Context Matters at the Physiology/Behaviour Interface

There are numerous studies that have considered how abiotic or biotic factors affect links between physiology and behaviour in animals. These factors will often shape an individual’s context but may also present as specific environmental challenges. Well-researched abiotic factors include temperature (Abram et al., 2017; Christensen et al., 2021), hypoxia (Carlson and Parsons, 2001; Richards, 2011; Mattiasen et al., 2020), salinity (e.g. Brischoux et al., 2017; Lorrain-Soligon et al., 2022), ocean acidification (Porteus et al., 2018), pollutants (Nie et al., 2022; Bartling et al., 2024) and habitat change (e.g. urbanization; Oliveira et al., 2021). Examples of biotic factors include external influences such as predation risk (Gvoždík and Boukal, 2021; Guigueno et al., 2025), prey availability (e.g. Cothran et al., 2021), parental care/pre-natal condition (e.g. Munch et al., 2018; Bailey et al., 2024) and social interaction or lack thereof (e.g. Xu et al., 2024; Gilmour et al., 2025; Killen et al., 2026). Additional internal biotic factors that are more usually researched in relation to an animal’s context include genetics and epigenetics (e.g. Seebacher and Krause, 2019), sex (e.g. Colominas-Ciuró et al., 2022) and ontogeny (e.g. Haubrock et al., 2020; James et al., 2025). Many of these studies have started to tease apart the complexity of how these factors affect the physiology/behaviour relationship, including the effects of combining several factors (e.g. Sumasgutner et al., 2023). However, there is increasing focus on the role context plays in shaping an animal’s physiological and/or behavioural response to an environmental challenge. In the following paragraphs, we consider examples that were highlighted in the symposium of how this complexity influences the relationship between behaviour and physiology and how it might complicate conservation and management efforts. We provide suggestions of next steps to harness this complexity to benefit conservation science.

How Context Shapes the Relationship between Physiology and Behaviour

I. Environmental oxygen can impact the physiology/behaviour relationship through both context and environmental challenge. In guppies (Poecilia reticulata), behavioural performance is influenced not only by current oxygen conditions, but also by an individual’s prior acclimation history, independent of changes in physiology (Doddema et al., 2025). In this example, two groups of guppies were investigated; one acclimated to constant normoxia and a second to fluctuating hypoxia. Both groups were given an acute hypoxia challenge followed by reoxygenation. In response to the hypoxia challenge, normoxia-acclimated and fluctuating hypoxia-acclimated guppies experienced a similar physiological response—a reduction in metabolic rate. However, fluctuating hypoxia-acclimated guppies showed altered behavioural sensitivity to hypoxia and reoxygenation compared to normoxia-acclimated guppies (Doddema et al., 2025). Specifically, when normoxia-acclimated guppies were exposed to acute hypoxia, they exhibited a lower escape responsiveness compared to when in normoxia. Their escape responsiveness did not recover after reoxygenation (Doddema et al., 2025). In contrast, fluctuating hypoxia-acclimated guppies had an improved escape responsiveness when exposed to acute hypoxia, compared to when in normoxia, that returned to normoxic levels upon reoxygenation (Doddema et al., 2025). This example illustrates a disconnect between metabolic rate, a whole animal physiological measurement often considered to be the amalgamation of all physiological processes, and behaviour, historically considered to be the manifestation of physiology. This illustrates a well-described hurdle for conservation scientists—that exposure history of an organism likely impacts its future sensitivity. Without appropriate interdisciplinary collaboration (e.g. field ecologists with historic oxygen saturation data), known histories of experimental laboratory animals and consideration of both behavioural and physiological endpoints, we might inaccurately estimate the sensitivity of a given organism to an environmental stressor.

II. Developmental stage is a key intrinsic biotic factor shaping context, affecting interactions of behavioural and physiological processes across different scales of biological organization. This is particularly evident in many ectothermic embryos that have a physical inability to behaviourally thermoregulate and cannot express their thermal preference. Because of their inability to use microclimatic variations, Gleason et al. (2023) posited that embryonic brown anole lizards, Anolis sagrei, would have enhanced physiological thermal tolerance flexibility. In this way, embryonic lizards circumvent ‘The Bogert Effect’, which predicts that the ability of organisms to behaviourally thermoregulate, and thereby dampen temperature extremes, constrains the evolution of thermal tolerance plasticity (Bogert, 1949; Muñoz and Bodensteiner, 2019). Gleason et al. (2023) found that heat-hardened embryos had greater heat tolerance, but the hardening process itself increased embryo heart rate, which was indicative of the energetic cost to hardening. Nevertheless, their data are consistent with lizard embryos having the capacity for adaptive plasticity when faced with warming temperatures, which is predicted to be limited in adult lizards by ‘The Bogert Effect’. This example illustrates the importance of considering developmental stage when making predictions of tolerance and survival. As early life stages are often the most sensitive when it comes to environmental perturbation, considering the extent to which a dynamic physiological/behavioural relationship (in this case constraints in behaviour, over development) contributes to changes in sensitivity will allow for better survival and tolerance predictions, ultimately improving conservation and management practices.

III. In life stages that can behaviourally thermoregulate, the capacity for, or costs of, physiological acclimation may be obscured, making the interplay between behaviour and physiology seem counterintuitive. When animals can use thermal refugia, such as microclimates, behavioural choices may not always align with ‘physiological optima’ as predicted in traditional studies of thermal physiology. For example, Salachan et al. (2021) showed that Drosophila responses to changing environmental conditions were different depending on whether individuals were temperature restricted or allowed a choice of temperature. When individual fruit flies were temperature restricted and only physiological capacity was considered, higher temperatures led to increased reproductive performance within a range of certain permissible temperatures. Following a typical thermal performance curve, egg production increased with temperature until it decreased at the highest temperature tested. Furthermore, egg-laying capacity increased in fruit flies acclimated to a higher temperature (i.e. context), likely linked to physiological processes such as higher metabolic rates at the higher temperatures. On the other hand, when individuals were allowed a choice of temperature in which to lay their eggs, fruit flies buffered against increasing temperatures by leveraging microclimate variation, regardless of thermal experience (i.e. even if they were acclimated to a higher temperature). This example provides a case for the importance of a nuanced understanding of both physiology and unconstrained behaviour (i.e. allowing the choice of environment) to make predictions of how organisms may survive an environmental challenge. In this case, despite having the physiological capability to survive with enhanced reproduction in a warmer environment, if permitted to move, an organism might choose otherwise. It is possible that this behavioural thermal preference is driven by other physiological needs (see Example IV below). For real-world relevance, an understanding of how habitats and landscapes may arrange to create microclimates would further our appreciation of how organisms choose to use them.

IV. Similarly, behavioural preference may not always follow what might be predicted through evolutionary adaptation to environmental change. Pilakouta et al. (2023b) challenged the assumption that physiological adaptation to elevated temperatures over successive generations would alter behavioural temperature preference. Exploiting natural habitats in Iceland, the group compared populations of the freshwater three-spined stickleback (Gasterosteus aculeatus) living in lakes warmed by geothermal activity to sticklebacks living nearby in ambient-temperature lakes. Previous studies had shown physiological and morphological differences between these populations of stickleback, for example, sticklebacks from warm lakes had a lower standard metabolic rate, a deeper body and a shorter jaw (Pilakouta et al., 2020, 2023a). Based on the finding that standard metabolic rate and temperature preference have been shown to be negatively correlated (Killen, 2014), the group predicted that fish from warm habitats would prefer higher water temperatures. In contrast to this prediction, they found that temperature preference was not habitat based. Even though the warm-adapted fish clearly persisted in the higher temperature lakes and have been exposed to warm temperatures for hundreds to thousands of years, they still preferred the same lower temperature (13°C) as fish from the colder lakes illustrating that adaptive potential based on physiology are not always predicted by behavioural thermal preference. In this case, both warm- and cold-adapted Icelandic stickleback populations had improved acquired immunity at 13°C (Franke et al., 2017, 2019), demonstrating an underlying physiological need that is a greater influence on thermal preference than physiological capability to tolerate the heat. Like egg laying in fruit flies, in stickleback, physiological mechanisms of temperature tolerance and behavioural thermal preference are misaligned, emphasizing complexities that need to be considered when setting conservation policy.

V. Many animals exist in social groups at some point in their life history. Sociality and social living can reduce chances of predation (Ioannou, 2017), increase foraging success (Harpaz and Schneidman, 2020) and provide energetic savings (Marras et al., 2015; Zhang and Lauder, 2023). An animal’s social context will therefore interact with the physiology/behaviour interface and can influence the way an animal responds to an environmental challenge. Melanson et al. (2023) demonstrated that a short period of social experience (i.e. 24 h) altered thermal sensitivity in that fish voluntarily emerged from water at a higher temperature than fish who were socially naïve (Fig. 2). Here, a relatively short-term change in social context affected the subsequent response to an environmental challenge (Fig. 2). The change in thermal sensitivity with social interactions appears to be at least partly explained by a putative change in sensitivity of a highly conserved membrane ion channel, considered a key physiological temperature regulator, transient receptor potential vanilloid 1 (TRPV1). Notably, acute aggressive dyadic contests also elicited these TRPV1-mediated changes in thermal behaviour (Currie et al., unpublished). Here, a change in context (e.g. social interactions), leads to changes in both physiology and behaviour, affecting how fish sense temperature, potentially altering thermal susceptibility (Currie and York, 2026). As also pointed out by Killen et al. (2026), this example emphasizes how understanding social context is imperative for understanding ecological sensitivities with implications for species’ conservation and management best practices.

Figure 2.

Figure 2

In this example, panel (B) represents an individual experiencing a greater influence from social factors than the individual in panel A. When exposed to the same external temperature challenge (in this case, high temperature), represented by a lightning bolt, the context of the individual shapes the way the external challenge interacts at the physiology/behaviour interface.

VI. Behavioural responses to an environmental challenge can also be affected when reproductive factors shape an individual’s context. This idea was illustrated recently by Noiret et al. (2026) who looked at thermoregulatory behaviour in king penguins (Aptenodytes patagonicus) in response to the environmental challenge of heat. The group found that panting was the most observed thermoregulatory behaviour, followed by wing spreading, and finally, exposing the brood patch—a highly vascularized area used to protect the egg/chick but also potentially to dissipate heat. The distribution of these behavioural responses was affected to a certain extent by sex and to a greater extent by reproductive status. King penguins, keeping the hatched chick warm (brooding), generally present more signs of heat stress than penguins incubating the egg, having higher subcutaneous body temperatures despite an increase in the frequency of wing spreading and enhanced brood patch exposure. In addition, in exposing the brood patch more frequently, a chick is more susceptible to predation risk than the egg. These data show that king penguin thermoregulatory behaviour varies with reproductive status, which then has implications on reproductive success. Brooding penguins with young at the chick stage show a higher susceptibility than incubating penguins with young at the egg stage. There are likely costs associated with brooding penguins living with a higher body temperature, for example, increased need to feed or higher susceptibility to other environmental stressors. At the level of conservation and management, understanding the trade-offs, costs and differential sensitivities that may be associated with reproductive status is critical to gaining a complete understanding of how to protect these species.

Conclusion

In these few examples, we illustrate how studying animals in their environment in a more holistic way, accounting for how abiotic and biotic influences both shape an animal’s context and act as discrete environmental challenges, is critical for addressing the conservation and biodiversity implications of rapid environmental change. While the limited view that physiology or behaviour is the most sensitive indicator of environmental change is diminishing, widespread acceptance of the need to address existing complexities has not yet occurred. Our examples above contribute to our understanding of animal limits, vulnerabilities and adaptation potential and strengthen our understanding of the context-dependent nature of an animal’s response to environmental change. As experimental biologists, we are limited in the complexities we can represent in a laboratory situation and the physiological and behavioural variables we choose to measure. Although it may seem straightforward to avoid predicting the effects of one mechanistically distinct process on another, careful consideration of mechanisms of action—drawing on frameworks such as Adverse Outcome Pathways (Ankley et al., 2010)—is essential when designing experiments and validating links between physiological and behavioural traits for conservation and management applications. Mesocosm and field studies certainly enhance our understanding further but still tend to capture only a fraction of the complexities that shape the physiological/behavioural interface.

Within ecotoxicology (Ankley et al., 2010) and multiple stressor research (Simmons et al., 2021), the need to capture the complexity of interactions through statistical modelling is clearly recognized. Rather than continue to generate separate sets of empirical data on these interactions across a small context range, our priority as experimental biologists must be to work with statistical modellers to simulate the complexity of the organisms we work with and generate empirical data to fill identifiable gaps in our knowledge. Modelling these complex interactions will allow us to identify priorities for conservation science, for example, understudied external environmental challenges and physiology–behaviour relationships that require further interrogation. Identified conservation challenges can then be addressed through simulation modelling, allowing a greater and more nuanced understanding of predicted outcomes. The increasing need to inform conservation measures through an integrated approach must be matched by our ability to work across many disciplines, including the alignment with frameworks that go beyond the individual and encompass a whole system approach (Simmons et al., 2021). In a recent perspective on how physiology can be integrated into the conservation process, Seebacher et al. (2023) emphasized the unique role physiology plays at the interface between environment and organisms. We agree and consider that any environmental change and/or challenge will first affect physiology and behaviour, with physiology influencing behaviour or vice versa. Early identification of the challenges faced by individuals/population is often the first step in the conservation process. Thus, considering both physiological and behavioural dependent variables within the full internal and external context of organisms will lead to more inclusive biological assessments and robust conservation decisions and interventions.

Acknowledgements

We thank our fantastic illustrator Rush Dhillon (https://www.rushstudio.ca/) for the figures.

Contributor Information

Suzanne Currie, Department of Biology, University of British Columbia, Okanagan Campus, Kelowna, BC V1V 1V7, Canada.

M Danielle McDonald, Rosenstiel School of Marine, Atmospheric, and Earth Science, 4600 Rickenbacker Causeway, University of Miami, Miami, FL 33149-1098, USA.

Katherine A Sloman, School of Health and Life Sciences, Lanarkshire Campus - Stephenson Place, University of the West of Scotland, Paisley G72 0LH, Scotland.

Author contributions

The authors contributed equally to this Perspective.

Conflicts of interest

The authors have no conflicts of interest to declare.

Funding

This work was supported by grants from the Natural Sciences and Engineering Research Council Discovery program (SC grant number 2024–06459) and the National Institutes of Health (MDM grant number 2P40OD010952).

References

  1. Abram  PK, Boivin  G, Moiroux  J, Brodeur  J (2017) Behavioural effects of temperature on ectothermic animals: unifying thermal physiology and behavioural plasticity. Biol Rev  92: 1859–1876. 10.1111/brv.12312. [DOI] [PubMed] [Google Scholar]
  2. Ankley  GT, Bennett  RS, Erickson  RJ, Hoff  DJ, Hornung  MW, Johnson  RD, Mount  DR, Nichols  JW, Russom  CI, Schmieder  PK  et al. (2010) Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment. Environ Toxicol Chem  29: 730–741. 10.1002/etc.34. [DOI] [PubMed] [Google Scholar]
  3. Bailey  ML, Nixon  C, Rusch  DB, Buechlein  A, Rosvall  KA, Bentz  AB (2024) Maternal social environment shapes yolk testosterone allocation and embryonic neural gene expression in tree swallows. Horm Behav  163: 105561. 10.1016/j.yhbeh.2024.105561. [DOI] [PubMed] [Google Scholar]
  4. Bartling  MT, Brandt  A, Hollert  H, Vilcinskas  A (2024) Current insights into sublethal effects of pesticides on insects. Int J Mol Sci  25: 6007. 10.3390/ijms25116007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Biro  PA, Stamps  JA (2010) Do consistent individual differences in metabolic rate promote consistent individual differences in behavior?  TREE  25: 653–659. 10.1016/j.tree.2010.08.003. [DOI] [PubMed] [Google Scholar]
  6. Bogert  CM (1949) Thermoregulation in reptiles, a factor in evolution. Evolution  3: 195–211. 10.1111/j.1558-5646.1949.tb00021.x. [DOI] [PubMed] [Google Scholar]
  7. Brischoux  F, Kornilev  YV, Lillywhite  HB (2017) Physiological and behavioral responses to salinity in coastal dice snakes. Comp Biochem Physiol A  214: 13–18. 10.1016/j.cbpa.2017.09.003. [DOI] [PubMed] [Google Scholar]
  8. Careau  V, Garland  T  Jr (2012) Performance, personality, and energetics: correlation, causation, and mechanism. Physiol Biochem Zool  85: 543–571. 10.1086/666970. [DOI] [PubMed] [Google Scholar]
  9. Carlson  JK, Parsons  GR (2001) The effects of hypoxia on three sympatric shark species: physiological and behavioral responses. Environ Biol Fishes  61: 427–433. 10.1023/A:1011641302048. [DOI] [Google Scholar]
  10. Casarrubea  M (2024) Physiology, patterns and behavior. Physiol Behav  285: 114655. 10.1016/j.physbeh.2024.114655. [DOI] [PubMed] [Google Scholar]
  11. Christensen  EAF, Norin  T, Tabak  I, van  Deurs  M, Behrens  JW (2021) Effects of temperature on physiological performance and behavioral thermoregulation in an invasive fish, the round goby. J Exp Biol  224: jeb237669. 10.1242/jeb.237669. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Colominas-Ciuró  R, Bertellotti  M, D’Amico  VL, Carabajal  E, Benzal  J, Vidal  V, Motas  M, Barbosa  A (2022) Sex matters? Association between foraging behaviour, diet, and physiology in Magellanic penguins. Mar Biol  169: 22. 10.1007/s00227-021-04003-w. [DOI] [Google Scholar]
  13. Cooke  SJ, Blumstein  DT, Buchholz  R, Caro  T, Fernández-Juricic  E, Franklin  CE, Metcalfe  J, O'Connor  CM, St Clair  CC, Sutherland  WJ  et al. (2014) Physiology, behavior, and conservation. Physiol Biochem Zool  87: 1–14. 10.1086/671165. [DOI] [PubMed] [Google Scholar]
  14. Cooke  SJ, Sack  L, Franklin  CE, Farrell  AP, Beardall  J, Wikelski  M, Chown  SL (2013) What is conservation physiology? Perspectives on an increasingly integrated and essential science. Conserv Physiol  1: cot001. 10.1093/conphys/cot001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Cothran  RD, Monahan  PJ, Relyea  RA (2021) Antipredator behaviour affected by prey condition, food availability and pH-mediated info-disruption. Anim Behav  171: 111–118. 10.1016/j.anbehav.2020.11.007. [DOI] [Google Scholar]
  16. Currie  S, York  JM (2026) Temperature sensing in fishes: mechanisms and modulation in a warming world. J Exp Biol  229: jeb250889. 10.1242/jeb.250889. [DOI] [PubMed] [Google Scholar]
  17. Debaere  SF, Opinion  AGR, Allan  BJ, Rummer  JL, De Boeck  G (2024) Bridging the divide in organismal physiology: a case for the integration of behaviour as a physiological process. J Exp Biol  227: jeb247685. 10.1242/jeb.247685. [DOI] [PubMed] [Google Scholar]
  18. Doddema  E, Fløysand  M, Campos-Candela  A, Pauli  BD, Morgan  R (2025) Acclimation to fluctuating hypoxia alters activity and escape performance, but not metabolism, in guppies. https://ecoevorxiv.org/repository/view/9109/
  19. Franke  F, Armitage  SA, Kutzer  MA, Kurtz  J, Scharsack  JP (2017) Environmental temperature variation influences fitness trade-offs and tolerance in a fish-tapeworm association. Parasit Vectors  10: 252. 10.1186/s13071-017-2192-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Franke  F, Raifarth  N, Kurtz  J, Scharsack  JP (2019) Consequences of divergent temperature optima in a host–parasite system. Oikos  128: 869–880. 10.1111/oik.05864. [DOI] [Google Scholar]
  21. Gilmour  KM, Best  C, Currie  S (2025) Using the reactive scope model to redefine the concept of social stress in fishes. J Exp Biol  228: jeb249395. 10.1242/jeb.249395. [DOI] [PubMed] [Google Scholar]
  22. Gilmour  KM, Wilson  RW, Sloman  KA (2005) The integration of behaviour into comparative physiology. Physiol Biochem Zool  78: 669–678. 10.1086/432144. [DOI] [PubMed] [Google Scholar]
  23. Gleason  GS, Starr  K, Sanger  TJ, Gunderson  AR (2023) Rapid heat hardening in embryos of the lizard Anolis sagrei. Biol Lett  19: 20230174. 10.1098/rsbl.2023.0174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Guigueno  MF, Foster  ACK, Reader  SM (2025) Current predation risk has opposing effects on social learning of foraging locations across two guppy populations. Anim Cogn  28: 4. 10.1007/s10071-024-01929-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Gvoždík  L, Boukal  DS (2021) Impacts of predator-induced behavioural plasticity on the temperature dependence of predator–prey activity and population dynamics. J Anim Ecol  90: 503–514. 10.1111/1365-2656.13383. [DOI] [PubMed] [Google Scholar]
  26. Harpaz  R, Schneidman  E (2020) Social interactions drive efficient foraging and income equality in groups of fish. Elife  9: e56196. 10.7554/eLife.56196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Haubrock  PJ, Cuthbert  RN, Veselý  L, Balzani  P, Baker  NJ, Dick  JTA, Kouba  A (2020) Predatory functional responses under increasing temperatures of two life stages of an invasive gecko. Sci Rep  10: 10119. 10.1038/s41598-020-67194-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Ioannou  C (2017) Grouping and predation. In TK  Shackelford, VA  Weekes-Shackelford, eds, Encyclopedia of Evolutionary Psychological Science. Spring International, Cham. [Google Scholar]
  29. James  LS, O'Mara  MT, Touchon  JC, Ryan  MJ, Bernal  XE, Page  RA (2025) The ontogeny of decision-making in an eavesdropping predator. Proc R Soc B  292: 20250450. 10.1098/rspb.2025.0450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Killen  SS (2014) Growth trajectory influences temperature preference in fish through an effect on metabolic rate. J Anim Ecol  83: 1513–1522. 10.1111/1365-2656.12244. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Killen  SS, Cortese  D, Cotgrove  L, Chrétien  E, Christensen  E, Crespel  A, Jolles  J, Pineda  M, Tiddy  I, Fu  C  et al. (2026) Alone in the lab, but not in the wild: why social context is central to comparative and environmental physiology. J Exp Biol  229: jeb251374. 10.1242/jeb.251374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Killen  SS, Marras  S, Metcalfe  NB, McKenzie  DJ, Domenici  P (2013) Environmental stressors alter relationships between physiology and behaviour. TREE  28: 651–P658. 10.1016/j.tree.2013.05.005. [DOI] [PubMed] [Google Scholar]
  33. Koolhaas  JM, Korte  SM, De Boer  SF, Van Der Vegt  BJ, Van Reenen  CG, Hopster  H, De Jong  IC, Ruis  MAW, Blokhuis  HJ (1999) Coping styles in animals: current status in behavior and stress-physiology. Neurosci Biobehav Rev  23: 925–935. 10.1016/S0149-7634(99)00026-3. [DOI] [PubMed] [Google Scholar]
  34. Lorrain-Soligon  L, Bichet  C, Robin  F, Brischoux  F (2022) From the field to the lab: physiological and behavioural consequences of environmental salinity in a coastal frog. Front Physiol  13: 2022. 10.3389/fphys.2022.919165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Madliger  CL, Love  OP, Hultine  KR, Cooke  SJ (2018) Conservation physiology and the quest for a ‘good’ baseline. Conserv Physiol  6: coy029. 10.1093/conphys/coy029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Marras  S, Killen  SS, Lindström  J, McKenzie  DJ, Steffensen  JF, Dominici  P (2015) Fish swimming in schools save energy regardless of their spatial position. Behav Ecol Socio Biol  69: 219–226. 10.1007/s00265-014-1834-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Mattiasen  EG, Kashef  NS, Stafford  DM, Logan  CA, Sogard  SM, Bjorkstedt  EP, Hamilton  SL (2020) Effects of hypoxia on the behavior and physiology of kelp forest fishes. Glob Chang Biol  26: 3498–3511. 10.1111/gcb.15076. [DOI] [PubMed] [Google Scholar]
  38. Melanson  CA, Lamarre  SG, Currie  S (2023) Social experience influences thermal sensitivity: lessons from an amphibious mangrove fish. J Exp Biol  226: jeb245656. 10.1242/jeb.245656. [DOI] [PubMed] [Google Scholar]
  39. Munch  KL, Noble  DWA, Botterill-James  T, Koolhof  IS, Halliwell  B, Wapstra  E, While  GM (2018) Maternal effects impact decision-making in a viviparous lizard. Biol Lett  14: 20170556. 10.1098/rsbl.2017.0556. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Muñoz  MM, Bodensteiner  BL (2019) Janzen’s hypothesis meets the Bogert effect: connecting climate variation, thermoregulatory behavior, and rates of physiological evolution. Int Org Biol  1: oby002. 10.1093/iob/oby002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Nie  Y, Wang  Z, Yu  S, Liu  Y, Zhang  L, Liu  R, Zhou  Z, Zhu  W, Diao  J (2022) Combined effects of abamectin and temperature on the physiology and behavior of male lizards (Eremias argus): clarifying adaptation and maladaptation. Sci Total Environ  837: 155794. 10.1016/j.scitotenv.2022.155794. [DOI] [PubMed] [Google Scholar]
  42. Noiret  A, Lewden  A, Lemonnier  C, Bocquet  C, Montblanc  M, Bertile  F, Hoareau  M, Marçon  E, Robin  J-P, Bize  P  et al. (2026) The heat is on: behavioural, physiological and reproductive evidence of heat stress in breeding king penguins. 10.1101/2024.09.09.611977. [DOI]
  43. Oliveira, Tapisso  JT, von  Merten  S, Rychlik  L, Fonseca  PJ, da  Luz  M (2021) Behavioral responses of rural and urban greater white-toothed shrews (Crocidura russula) to sound disturbance. Urban Ecosyst  24: 851–862. 10.1007/s11252-020-01079-y. [DOI] [Google Scholar]
  44. Orr  JA, Vinebrooke  RD, Jackson  MC, Kroeker  KJ, Kordas  RL, Mantyka-Pringle  C, Van den Brink  PJ, De Laender  F, Stoks  R, Holmstrup  M  et al. (2020) Towards a unified study of multiple stressors: divisions and common goals across research disciplines. Proc R Soc B  287: 20200421. 10.1098/rspb.2020.0421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Pilakouta  N, Humble  JL, Hill  IDC, Arthur  J, Costa  APB, Smith  BA, Kristjánsson  BK, Skúlason  S, Killen  SS, Lindström  J  et al. (2023a) Testing the predictability of morphological evolution in contrasting thermal environments. Evolution  77: 239–253. 10.1093/evolut/qpac018. [DOI] [PubMed] [Google Scholar]
  46. Pilakouta  N, Killen  SS, Kristjánsson  BK, Skúlason  S, Lindström  J, Metcalfe  NB, Parsons  KJ (2020) Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild. Funct Ecol  34: 1205–1214. 10.1111/1365-2435.13538. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Pilakouta  N, Killen  SS, Kristjánsson  BK, Skúlason  S, Lindström  J, Metcalfe  NB, Parsons  KJ (2023b) Geothermal stickleback populations prefer cool water despite multigenerational exposure to a warm environment. Ecol Evol  13: e9654. 10.1002/ece3.9654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Pirotta  E, Thomas  L, Costa  DP, Hall  AJ, Harris  CM, Harwood  J, Kraus  SD, Miller  PJO, Moore  MJ, Photopoulou  T  et al. (2022) Understanding the combined effects of multiple stressors: a new perspective on a longstanding challenge. Sci Total Environ  821: 153322. 10.1016/j.scitotenv.2022.153322. [DOI] [PubMed] [Google Scholar]
  49. Porteus  CS, Hubbard  PC, Uren Webster  TM, van  Aerle  R, Canário  AVM, Santos  EM, Wilson  RW (2018) Near-future CO2 levels impair the olfactory system of a marine fish. Nat Clim Change  8: 737–743. 10.1038/s41558-018-0224-8. [DOI] [Google Scholar]
  50. Reese  HW (1996) How is physiology relevant to behavior analysis?  Behav Anal  19: 61–70. 10.1007/BF03392739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Richards  JG (2011) Physiological, behavioral and biochemical adaptations of intertidal fishes to hypoxia. J Exp Biol  214: 191–199. 10.1242/jeb.047951. [DOI] [PubMed] [Google Scholar]
  52. Romero  LM, Dickens  MJ, Cyr  NE (2009) The reactive scope model—a new model integrating homeostasis, allostasis, and stress. Horm Behav  55: 375–389. 10.1016/j.yhbeh.2008.12.009. [DOI] [PubMed] [Google Scholar]
  53. Salachan  PV, Sørensen  JG, Maclean  HJ (2021) What can physiological capacity and behavioural choice tell us about thermal adaptation?  Biol J Linn Soc  132: 44–52. 10.1093/biolinnean/blaa155. [DOI] [Google Scholar]
  54. Seebacher  F, Krause  J (2019) Epigenetics of social behaviour. TREE  34: 818–830. 10.1016/j.tree.2019.04.017. [DOI] [PubMed] [Google Scholar]
  55. Seebacher  F, Narayan  E, Rummer  JL, Tomlinson  S, Cooke  SJ (2023) How can physiology best contribute to wildlife conservation in a warming world?  Conserv Physiol  11: coad038. 10.1093/conphys/coad038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Sih  A, Bell  AM, Johnson  JC, Ziemba  RE (2004) Behavioral syndromes: an integrative overview. Q Rev Biol  79: 241–277. 10.1086/422893. [DOI] [PubMed] [Google Scholar]
  57. Simmons  BI, Blyth  PSA, Blanchard  JL, Clegg  T, Delmas  E, Garnier  A, Griffiths  CA, Jacob  U, Pennekamp  F, Petchey  OL  et al. (2021) Refocusing multiple stressor research around the targets and scales of ecological impacts. Nat Ecol Evol  5: 1478–1489. 10.1038/s41559-021-01547-4. [DOI] [PubMed] [Google Scholar]
  58. Sumasgutner  P, Cunningham  SJ, Hegemann  A, Amar  A, Watson  H, Nilsson  JF, Andersson  MN, Isaksson  C (2023) Interactive effects of rising temperatures and urbanisation on birds across different climate zones: a mechanistic perspective. Glob Chang Biol  29: 2399–2420. 10.1111/gcb.16645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Xu  D-D, Wang  C-H, Bi  J-Q, Luo  H, Fu  S-J, Li  B, Zeng  LQ (2024) Physiological and behavioral responses to social isolation and starvation in a social fish. Appl Anim Behav Sci  278: 106384. 10.1016/j.applanim.2024.106384. [DOI] [Google Scholar]
  60. Zhang  Y, Lauder  GV (2023) Energy conservation by collective movement in schooling fish. Elife  12: RP90352. 10.7554/eLife.90352. [DOI] [PMC free article] [PubMed] [Google Scholar]

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