Abstract
As wildlife increasingly has to face levels of environmental conditions that go far beyond normal ranges, understanding the ecological and evolutionary dynamics behind such extreme scenarios becomes essential for animal conservation. Here, we discuss the eco-physiological singularities of wildlife coping with extreme conditions. We first discuss the conditions under which scenarios can be considered ‘extreme’. This includes distinguishing the nature of natural and anthropogenic disturbances, considering aspects such as their intensities, as well as the understanding of species biology and evolutionary history. To exemplify the diversity of wildlife responses to extreme conditions, we highlight five different representative study cases (two with natural causes, three of anthropogenic origin): birds at high altitude, fish in geothermal habitats, birds in pesticide-laden farmlands, invertebrates in urban ponds, and amphibians in radioactive zones. These examples illustrate the diverse physiological and ecological responses to extreme factors, emphasizing the complexity of wildlife adaptation under different scenarios. However, they also reveal significant knowledge gaps regarding long-term effects of responses to extreme environments, and the mechanistic basis behind these processes. Future research should ideally include long-term approaches making use of validated physiological markers of individual, population or species health or fitness. This information could be then incorporated into mechanistic models like Species Distribution Models (SDMs) to predict species geographic occurrence and the impact of future extreme scenarios. Such holistic and integrative physiological approaches will enhance our understanding of species and population resilience, and will facilitate the identification of vulnerable populations, ultimately improving management strategies. By prioritizing these research efforts, we will better anticipate the impacts of environmental changes on wildlife health, and thus improve biodiversity conservation strategies.
Keywords: Anthropogenic disturbances, biomarkers, climate change, conservation physiology, environmental stress
Introduction
The study of wildlife responses to extreme environments is key to understand eco-evolutionary dynamics under the current context of global changes (Alberti, 2015, 2024; Fouqueau and Polechová, 2024). A classic definition of ‘extreme environment’ refers to a condition detrimental or fatal to highly organized life forms (Thiel, 2011). This view is often linked to extremophile organisms, such as microbes, which thrive in conditions beyond the tolerance limits of most other taxa (e.g. hydrothermal vents, highly acidic waters, or soda lakes; Rothschild and Mancinelli, 2001). Organisms capable of surviving these conditions often develop life-history or physiological strategies to cope with the stress associated with such environments, while balancing costs such as reductions in stored resources or loss of fitness (Wingfield et al., 2011; Boothby, 2019; Ando et al., 2021).
A broader interpretation of extreme environments should consider that most environmental factors naturally occur on a continuum (Rothschild and Mancinelli, 2001; Hardie and Hutchings, 2010; Wingfield et al., 2011). Thus, marginal and infrequent values outside the bounds of normal variability (e.g. the interquartile or >90% range of values for each condition within a given ecosystem) could be defined as ‘extreme’ (Rothschild and Mancinelli, 2001). These ‘severe conditions’ (sensu Wingfield et al., 2011) may be far from life-limiting but can compromise the normal functioning of organisms. From an evolutionary standpoint, extreme or severe environments can include high selective pressures, which may lead to reductions in fitness. In this context, species biology and distribution should be the two main aspects used to define environmental extremeness. For instance, the impact of a given condition can even vary within the same species due to factors, such as life-stage–dependent responses or local adaptations (e.g. Austin and Moehring, 2019; Kelly, 2019; Vicuña et al., 2019; Madeira et al., 2020; Ubach et al., 2022). Likewise, the occurrence and persistence of certain conditions can influence the responses of organisms. In some cases, exposure to ‘extreme’ conditions can be permanent (e.g. low oxygen levels at extreme altitude), whereas in others, it can be only transient (e.g. high temperatures during a heat-wave event). Among the former, many natural environmental conditions have been historically classified as extreme in the literature, including low temperatures in the polar regions or aridity in deserts. However, in most of these natural extreme environments, many taxa have developed physiological and life-history adaptations (Whiteman, 2021; Storz et al., 2023; e.g. polar bears, freezing amphibians, mice in high mountains; Schmidt et al., 2024). Hence, the occurrence, intensity, and persistence of a given condition, along with the adaptive potential (evolutionary history) of organisms, will determine whether a condition or combination of conditions, can be considered as ‘extreme’ for an individual, population or species.
Human actions have modified not only the range, frequency and intensity of natural conditions (e.g. temperature, precipitation, light) but have also introduced novel sources of disturbance such as the release of chemical pollutants (e.g. pesticides, herbicides, heavy metals; Fischer et al., 2013; Saaristo et al., 2018). These anthropogenic conditions can impose physiological challenges, either on their own or synergistically with conditions that were previously not considered as extreme, ultimately leading to detrimental consequences. Yet, evidence suggests that new extreme environments can also drive phenotypic plasticity evolution, trait novelty and rapid adaptation (Chevin and Hoffmann, 2017; Wang and Guo, 2019; Parrilli et al., 2021). The understanding of the machinery underlying such evolutionary responses to extreme environments is therefore a major challenge for evolutionary biologists, ecologists and conservationists (Storey and Storey, 2005; Madliger et al., 2018; Gunga, 2020). This knowledge is crucial to predict biotic responses to future global change scenarios and to develop effective conservation actions.
Research on wildlife responses to natural and anthropogenic extreme environments has made great advances in the last years. This progress includes a deeper understanding of the biology and physiology of different study species or populations, a knowledge that is increasingly achieved through more complex, multifactorial, and realistic field and/or laboratory-based approaches (e.g. Maček et al., 2016; Dawson et al., 2020; Burraco et al., 2021c; Gerhard et al., 2023; see below details of some study systems). Long-term and longitudinal studies have shed light on how extreme factors impact individual condition and fitness, then contributing to understand the eco-evolutionary consequences of certain extreme environments (Hoset et al., 2014; Jenouvrier et al., 2015; e.g. Barneche et al., 2021; Gicquel et al., 2022). However, the study of ‘broad sense’ extreme environments is a relatively new field within a conservation framework, and therefore, there is a wide range of challenges and future directions to explore (Bailey and van de Pol, 2016; Van de Pol et al., 2017). In this paper, we discuss physiological and eco-evolutionary singularities of different extreme scenarios, addressing both methodological and empirical aspects. We provide five distinct examples of research conducted on wildlife coping with different extreme conditions of natural or anthropogenic origin. For each case, we summarize the main characteristics of each extreme condition and its effects on the ecology, evolution and conservation of the study organisms, while examining the methodological challenges and unique features of each system. Finally, we offer some recommendations that could be relevant for future research in the field, with emphasis on the integration of physiological information to improve conservation and restoration actions.
Case Studies of Ecophysiological Approaches to Extreme Environments
While the number of studies addressing the eco-physiological consequences of extreme environments is rapidly increasing, much of the research is scattered across systems and taxa, making it challenging to form general conclusions. Nonetheless, a substantial body of work documents physiological adjustments and evolutionary responses to a wide array of stressors in both natural and human-altered settings. For example, desert marsupials such as the wallabies have evolved exceptionally efficient renal physiology to cope with chronic water scarcity (Bradshaw et al., 2001), whereas intertidal mussels use heat-shock proteins and dynamic shell gaping to withstand episodes of extremely high temperatures during low tide (Buckley et al., 2001). Antarctic and Artic fish convergently produce antifreeze glycoproteins that prevent ice-crystal growth at sub-zero sea temperatures (Chen et al., 1997), and reef-building corals in naturally acidic CO₂ vents show trans-generational shifts in calcification strategies that confer partial tolerance to ocean acidification (Kurihara et al., 2020). Pants also provide compelling evidence: metal-hyperaccumulator species like Arabidopsis halleri thrive on heavy-metal substrates by up-regulating metal-chelation pathways (Noor et al., 2024). Collectively, these and many other studies illustrate convergent themes—enhanced cellular repair, metabolic re-engineering and novel protective compounds—that underpin wildlife resilience when environmental conditions move beyond historical baselines.
A comprehensive evaluation of how animals shape their physiology to cope with extreme environments, either of natural and anthropogenic origin, is crucial to mechanistically understanding the eco-evolutionary consequences underlying some ecosystems. To show and discuss some possible approaches in this direction, we present five examples of research programs investigating the physiological effects and adaptations of wildlife exposed to extreme environments (Fig. 1A). Two of these examples focus on natural extremes (i.e. low oxygen at high altitudes, and elevated temperatures in geothermally warmed lakes), while the other three address anthropogenic extremes (i.e. urbanization, pesticides in agricultural fields, and ionizing radiation following a nuclear accident).
Figure 1.
(A) The left section illustrates different examples of extreme environmental conditions—both of natural and anthropogenic origin—that wildlife may face. The right section summarizes previous research on various study systems, including birds living at high altitudes, fish inhabiting environments with extreme temperatures (e.g. geothermal habitats), invertebrates in urbanized areas, and vertebrates exposed to high levels of chemical pollution (e.g. birds in pesticide-contaminated farmlands, and amphibians in radioactive areas). For each system, key traits and the main observed effects are highlighted. (B) A conceptual overview of how eco-physiological research can be applied to understand and predict the consequences of environmental extremes for wildlife. (Left) This type of approach first requires characterizing normal patterns in life-history traits (e.g. lifespan, fitness) and physiological health markers (e.g. oxidative stress, DNA damage, cell apoptosis). (Middle) By studying shifts in these parameters, we can validate biomarkers and mechanistically unravel the eco-evolutionary consequences of environmental extremes. (Right) Finally, this information can then be integrated into mechanistic Species Distribution Models (SDMs) to improve predictions of environmental change impacts on biodiversity and to inform more effective conservation and restoration planning. Created with BioRender.com.
Birds at extreme altitude
The highest parts of the planet such as the Tibetan Plateau in Asia, the Ethiopian highlands in Africa and the Andean Altiplano in South America, experience seasonally from extreme hypoxia, cold and xeric conditions and pose complex challenges to biodiversity (da Costa et al., 2023). Despite this, birds are unparalleled in the animal kingdom for making spectacular migrations across vast scales, including travelling over the highest regions on earth. Flight is a particularly demanding form of exercise, and the pulmonary system of birds has evolved into an unidirectionally ventilated system with cross-current oxygen extraction, which permits huge rates of oxygen consumption (approximately twice as large as mammals; Butler et al., 1988; Maina, 2008; Cieri and Farmer, 2016). Both of these aspects of the evolutionary ecology and physiology of birds has meant that birds are particularly well adapted to obtaining oxygen in hypoxic environments, not only at rest, but also during exercise there at high rates of volume of oxygen (V
2; Maina, 2008; Cieri and Farmer, 2016). Although a range of work has demonstrated adaptations to high altitude in species such as mice (Chen et al., 2023; Storz and Scott, 2023), a classic study system has been the bar-headed goose Anser indicus (Fig. 1A; Butler, 2010; Scott et al., 2015; Hawkes et al., 2017). In 1953, the expedition led by Tenzing Norgay and Edmund Hillary claimed to see bar-headed geese flying over Mount Everet (Swan, 1970). Since then, adaptations throughout the oxygen transport cascade have been extensively studied (Butler, 2010; Scott et al., 2015; Hawkes et al., 2017).
Geese are relatively tractable subjects to study, being large bodied and robust. To date, bar-headed geese have been studied in tissue preparations (Scott et al., 2009), at rest in captivity (Black and Tenney, 1980; Scott and Milsom, 2007), running on a treadmill (Black and Tenney, 1980; Hawkes et al., 2014), flying in a wind tunnel (Ward et al., 2002; Meir and Milsom, 2013) and in the wild (Hawkes et al., 2013; Scott et al., 2015). These studies have been able to make use of approaches from classic physiological techniques (e.g. haemoglobin-oxygen dissociation curves) to state-of-the-art biotelemetry devices (Scott et al., 2015).
Owing to the cardiovascular adaptations of birds to fund extremely high rates of oxygen consumption, most bird species can likely cope better than other taxa at high altitudes. Downy feathers can also help birds to cope with extreme cold (Terrill and Shultz, 2023), and extremely dry conditions may pose surprisingly little challenge to birds, because they can catabolize flight muscle during flight, producing metabolic water (Klaassen, 1996). It appears currently that few species of birds are as tolerant of hypoxia as the bar-headed goose, which has adaptations at every step of the oxygen transport cascade (Butler, 2010; Scott et al., 2015; Hawkes et al., 2017), but because flight costs scale following a power law with body mass (Bishop, 1997), it is likely that smaller species (e.g. alpine chough Pyrrhocorax graculus digitatus, or other smaller passerine species) may have proportionally lower costs, and therefore superior performance at altitude to even the bar-headed goose.
The ability of birds to perform well, even in hypoxic, cold and xeric conditions has important ramifications that warrant future study. First, birds can be major vectors for viruses, such as bird flu (Caliendo et al., 2022; Cui et al., 2022; Ramey et al., 2022; Klaassen and Wille, 2023; Lane et al., 2024), dispersing agents over long distances. Extreme environments normally inhibit pathogen survival, and/or restrict the distribution of their vectors, but species that can cope well with extreme environments can disperse pathogens through such environments, in some cases, even if asymptomatically infected (Eikenaar and Hegemann, 2016; Eikenaar et al., 2020; Tobolka et al., 2024). Second, as more species move into high altitude environments seeking climate refugia (Keppel et al., 2024), birds will come into contact with a wider range of species, with differing abilities to compete for limited resources (Stenseth et al., 2015). Finally, the ability for vertebrate species to cope with extreme oxygen conditions continues to be of interest to medicine, sport and space travel (Keil et al., 2015; Magalhães, 2015).
Fish in geothermal environments
Geothermal environments are key not only for the study of early life evolution on Earth but also for examining adaptation to extreme temperatures in wildlife (Jutfelt, 2020). For example, previous studies have taken advantage of a high-elevation geothermal stream system in the Andes to study the effects of temperature on fish body size, macroinvertebrate community composition and transcriptional plasticity in anurans (e.g. Pastenes et al., 2017; Quenta-Herrera et al., 2021). There are also a number of studies on the reproductive phenology, thermal physiology and temperature preferences of ‘hot spring frogs’ (Buergeria japonica) found in geothermal hot springs in Taiwan and Japan (e.g. Chen et al., 2001; Komaki et al., 2020).
Geothermally warmed water bodies (also known as ‘hot springs’) adjacent to ambient-temperature lakes, which are much colder (Pilakouta et al., 2020, 2023a), are abundant in Iceland. There is one fish species that can be found in both of these thermal habitats: the threespine stickleback Gasterosteus aculeatus (Fig. 1A). These stickleback populations have been exposed to contrasting thermal regimes for hundreds to thousands of generations, and there are no differences in water chemistry between these thermal habitats other than temperature (Pilakouta et al., 2020). Given these repeated and independent pairs of warm and cold populations in close proximity, we can use the power of evolutionary replication to test the predictability of adaptation to high temperature by testing for parallel evolution across these population pairs.
A major advantage of this study system is the small geographic scale of these population pairs, which allows us to avoid confounding factors associated with latitudinal or altitudinal comparisons of different thermal environments (Jutfelt, 2020). Threespine sticklebacks are an established model in ecology and evolutionary biology with a well-annotated genome and transcriptome, and well-developed protocols for rearing and breeding this species in the lab (Reid et al., 2021). Thus, in addition to identifying phenotypic differences in wild-caught fish from warm and cold populations, we can conduct common-garden or reciprocal-transplant experiments to disentangle plastic and evolutionary changes in response to temperature in these populations (e.g. Pilakouta et al., 2023c). We can then link these phenotypic changes to the underlying molecular mechanisms and their effects on ecosystem-level processes.
Work on this study system has shown that hot-spring fish have diverged morphologically, physiologically and behaviourally compared to fish in ambient-temperature lakes. Firstly, fish living in hot springs are deeper-bodied, have shorter jaws and steeper craniofacial profiles, reflecting a more benthic diet (Pilakouta et al., 2023a). Secondly, they have a lower metabolic rate (Pilakouta et al., 2020), which could be adaptive, especially during the winter, when hot-spring fish are still experiencing relatively high temperatures but food, such as insect larvae, is scarce. Hot-spring fish are also less social (Pilakouta et al., 2023c). Lower sociability can be adaptive when there is high competition for food (Webster and Hart, 2006), as may be the case in these warm habitats. Lastly, fish from warm habitats prefer cooler temperatures when given a choice in the lab, even though they can persist at much higher temperatures in the wild (Pilakouta et al., 2023b).
This kind of natural experiments can revolutionize our understanding of how organisms adapt to high temperatures, with still many important questions to address in this study system. For example, it would be worthwhile to further investigate physiological adaptation in response to food limitation in hot springs. A study on cavefish, which experience long periods of food deprivation, found evidence for insulin resistance as an adaptation to cope with their nutrient-limited environment (Riddle et al., 2018). Similarly, preliminary data show that hot-spring fish exhibit a number of characteristics associated with diabetes, with respect to their insulin resistance, fat storage, appetite and starvation resistance (N. Pilakouta, unpublished data). Using a wild organism where the symptoms of diabetes may have an adaptive purpose can overcome many of the limitations of current laboratory models (Albertson et al., 2009). Thus, linking this widely used evolutionary model system to a human disease has potential clinical applications, for example by allowing us to identify novel biomarkers or genetic pathways associated with glucose metabolism that could be applied to humans (Albertson et al., 2009; Riddle et al., 2018; Krishnan et al., 2022; Xiong et al., 2022).
Invertebrates in urban environments
Urban abiotic and biotic environments are drastically altered via reduced vegetation cover and habitat fragmentation, elevated pollution levels of various sorts (e.g. thermal, chemical, light, noise pollution), the introduction of non-native species, telecoupling and the fingerprint of human societal vectors at play (i.e. economics, technological development, culture, politics). Throughout the years, cities and urbanized areas have therefore been identified as uniquely complex ecosystems, which shape ecology (Grimm et al., 2008) and evolution (Szulkin et al., 2020), and now set the stage for potential profound specific socio-eco-evolutionary feedback (Des Roches et al., 2021; Alberti, 2024). While ponds and pools are vital for biodiversity (Hill et al., 2021) and the residing biota is hypothesized to be more severely impacted by joint urban perturbations given their closed nature (Oertli and Parris, 2019), they remained largely unexplored in cities for long.
Experimental work using field and common garden studies in the strongly urbanized region of Flanders (Belgium) tested for urban adaptive evolutionary trait change in the cladoceran Daphnia magna (Fig. 1A), and examined potential eco-evolutionary feedback, focusing on the context of urban warming and chemical pollution (Brans et al., 2017, 2018b, 2021). Daphnia magna plays a dual key role in freshwater food webs, being a food source for higher trophic levels, as well as exerting top-down control on phytoplankton thereby stabilizing clear water phases and preventing toxic bloom formation (Ebert, 2022). Daphnia magna is cyclical parthenogenetic, which enables to culture asexually replicated isoclonal lineages for multiple generations prior to trait assessment in common garden experiments, thus reducing the impact of (grand)maternal effects (Ebert, 2022). First, by studying replicated urban and rural populations, it was shown that D. magna exhibits genetic differentiation for key traits related to thermal adaptation to the observed warming in city ponds in the study region (i.e. the Urban Hot Tub Effect; Brans et al., 2018a); urban populations evolved a higher heat tolerance, smaller size at maturity, higher haemoglobin tissue content (Brans et al., 2017) and a faster pace-of life, including faster development and maturation, as well as higher fecundity, compared to rural populations (Brans et al., 2018b). Physiological analyses on body tissue, revealed urban populations having higher storage levels of proteins, fat and carbohydrates and a more optimized antioxidant defence system. These physiological characteristics were intertwined with life history via the evolution of a pace-of-life syndrome in urban, but not rural animals (Brans et al., 2018b). Finally, evolved higher organophosphate pesticide tolerance was detected in urban compared to rural populations by studying survival responses to chlorpyrifos, a commonly used pesticide in urban environments in the region till 2020 (Brans et al., 2021). Remarkably, an extended study including water fleas and damselfly nymphs (Coenagrionidae), common water flea predators for which similar urban evolutionary responses have been documented (Tüzün et al., 2017), found a cryptic thermal eco-evolutionary feedback. More specifically, urban evolution in water fleas offsets the evolved higher predation rates observed in urban compared to rural damselfly nymphs during a simulated heatwave (Vanvelk et al., 2021; Brans et al., 2022).
While D. magna reproduction cycles are key in assessing contributions of genetic differentiation, plasticity and evolution of plasticity (Govaert et al., 2016; Ebert, 2022), such laboratory quantitative genetic analyses and settings only limitedly mimic in situ environmental conditions. In order to asses effective evo-to-socio feedback in the light of, for example, effective top-down control of noxious algal and cyanobacterial blooms in cities, future experiments would benefit from a common gardening reciprocal transplant set-up (De Meester et al., 2019; Brans et al., 2020). This enables to test whether the urban evolutionary background of D. magna shapes ecological food web interactions and ultimately bloom formation. In addition, there is growing evidence that the Daphnia gut microbiomes plays an important role in acclimation and adaptation to toxic cyanobacteria (Houwenhuyse et al., 2021). To what extent urban D. magna are characterized by a distinct gut microbiome, and whether this drives adaptive and acclimation responses to urbanization-related stressors, as well as toxic cyanobacteria, is unclear. Thus, a reciprocal transplant across urban and rural settings enables to shed light on how evolutionary trait change in a key freshwater species or organism, can mitigate negative impacts of warming and eutrophication, two key drivers of a shift to a turbid, cyanobacteria-dominated state of freshwater ecosystems, and, importantly, predicted to be the most pronounced threats to freshwater ecosystems worldwide under future climate change.
Birds in polluted agricultural fields
Many wild vertebrate species have co-evolved with human activities for decades or even centuries. As a result, some of them are particularly well adapted to human activities, and this allowed them to thrive in anthropogenic environments by occupying specific ecological niches that were created by humans (Hendry et al., 2017). Farmland birds represent very good examples of this phenomenon as they mainly rely on historical agricultural activities. However, agricultural practices have changed at an unprecedent rate since the middle of the 20th century. Mechanization, increase in the size of land plots and the alteration of many ecological infrastructures (e.g. woods, hedgerows, ponds, etc.) have resulted in drastic environmental changes that have imposed new, and often, extreme constraints to farmland birds (Stanton et al., 2018; Rigal et al., 2023). Among them, the massive use of pesticides has represented a real threat to wild birds with huge impact on some species that were at the edge of extinction (Carson, 1962). Although several ‘old’ historical pesticides have been banned in several countries (e.g. DDT), it is not true in all countries. When banned, they have progressively and continuously been replaced by new organic molecules that aimed to either better control pests or improve health safety (Matthews, 2015). These pesticides are widely used in multiple agroecosystems worldwide, but vineyards often represent one of the agroecosystems that rely the most on pesticides and especially organic fungicides, such as triazoles (Komárek et al., 2010; García et al., 2022), except in a few specific cases (e.g. organic vineyards). Indeed, grapes are very sensitive to pest fungi and the use of fungicides aims to improve grape yields, especially under cold and wet climate (Geppert et al., 2024).
Over the last decade, field and laboratory studies have been conducted to assess the physiological and ecological consequences of living in extremely highly contaminated vineyards. By comparing the contamination levels of birds living in vineyards, other agroecosystems, and theoretically uncontaminated areas, studies aimed to test whether vineyards represent an extreme environment regarding the use of triazoles (Angelier et al., 2023; Prouteau et al., 2025). By using experimental setups, these studies also aimed to mimic the contamination that can be found in vineyards and to test its impact on organismal systems and performance in farmland birds.
Overall, birds living in vineyards show high levels of some contaminants, notably triazoles, the main organic fungicides used in crops (Angelier et al., 2023; Fig. 1A). This contamination seems ubiquitous in agroecosystems because birds were contaminated in locations close to cereal crops (although to a much lower level). Studies using experimental approaches showed that such extreme contamination by triazoles in vineyards can induce some alterations in numerous and key organismal systems (reviewed in Jiménez-Peñuela et al., 2024), such as metabolism (Bellot et al., 2022), immunity (Fernández-Vizcaíno et al., 2024) and the functioning of the hypothalamus-pituitary-thyroid axis (Bellot et al., 2025a). These physiological perturbations can alter the development and the survival of offspring (Bellot et al., 2025b), echoing the reported dramatic drop of farmland birds in the last decades (i.e. from 1980 to 2016, Rigal et al., 2023). Importantly, these results are not limited to a few study species (house sparrow, Passer domesticus, European blackbird, Turdus merula), as other articles have convincingly demonstrated detrimental impacts of these triazole fungicides on the reproduction and the physiology of other farmland species, such as red-legged partridges, Alectoris rufa (Lopez-Antia et al., 2021; e.g. Fernández-Vizcaíno et al., 2024). Altogether, these results demonstrate that vineyards certainly represent an extreme environment for farmland birds. The continuous release of new triazole substances, combined with the massive use of these fungicides in vineyards, may limit the ability of farmland birds to adapt quickly enough to this anthropogenic selection pressure and might therefore jeopardize bird biodiversity in vineyards (Zielonka et al., 2024).
Multiple recent articles have demonstrated that vineyards are associated with the massive use of multiple fungicides including triazoles (Komárek et al., 2010; e.g. García et al., 2022), and that they can probably affect the fitness of farmland birds (reviewed in Jiménez-Peñuela et al., 2024). However, we definitely lack data to better understand how these birds may have evolved some mechanisms to counteract the detrimental effects of these pesticides on their performance (survival and reproduction). Future studies focusing on inter-population sensitivity to these pesticides are now warranted to understand if birds could adapt to such extreme contamination.
Amphibians in radioactive areas
Life has evolved under various sources of ionizing radiation, originated mostly from naturally occurring radioactive materials in Earth’s crust or from cosmic rays (i.e. background ionizing radiation; Sohrabi, 2013). The development of nuclear technology, especially since the second half of 20th century, lead to the industrial use of radioactive isotopes for the production of energy, the design of nuclear weapons, and the development of nuclear medicine, among many other uses (IAEA, 2024). As a consequence of both deliberate actions (e.g. use and test of nuclear weapons) or unintentional releases of radioactive material (e.g. nuclear accidents), the increase of radioactive levels in some areas may pose risks to the environment (e.g. Beresford and Copplestone, 2011), and it represents an example of new extreme conditions experienced by wildlife.
Ionizing radiation released during the decay of radioactive isotopes can directly impact wildlife by damaging DNA strands through physical breaks in nucleotide sequences, or indirectly by interacting with other molecules (mostly water) which generates free radicals that can compromise individual performance and survival (Santivasi and Xia, 2014). Some of these effects have been studied in detail in areas that experienced severe accidents in nuclear power plants such as Chornobyl (Ukraine, 1986) or Fukushima (Japan, 2011). Investigating the impact of radio-contaminated areas on wildlife arises as a unique opportunity to understand the adaptive capacity of organisms exposed to extreme levels of an abiotic factor that has only been historically present in the Earth at much lower doses (Karam and Leslie, 2005). However, despite these research efforts, there is still no scientific consensus about the long-term effects of ionizing radiation on the ecology and evolution of wildlife in radio-contaminated areas (Beresford et al., 2020).
Amphibians are a great study system to evaluate the ecological and evolutionary effects of radiation. Many species inhabit both terrestrial and aquatic environments, exposing them to a full range of radioactive conditions. Amphibians often have an intermediate life-history pace with one generation every 2 to 3 years in most cases, and their low dispersal capacities facilitate the estimation of absorbed ionizing radiation (Burraco et al., 2021b). Also, amphibian ecophysiology in response to environmental stress is relatively well known (Burraco and Gabor, 2023). Research has extensively examined the life history, physiology and genetics of Eastern tree frogs Hyla orientalis (Fig. 1A) living across a wide gradient of radioactive contamination within and around the Chornobyl Exclusion Zone, including their complete exposure to both internal and external radiation (Burraco et al., 2021a, 2023; Burraco and Orizaola, 2022; Car et al., 2022, 2023). Overall, studies on Chornobyl tree frogs have revealed that three decades after the accident, the levels of radioactive isotopes accumulated (i.e. total absorbed dose rate) by frogs currently living in the area are below those considered as potentially dangerous by international standards (ICRP, 2008; Burraco et al., 2021b). This likely explains the lack of impact of radiation on different physiological traits in Chornobyl frogs, including liver morphology associated with organ function and individual health (Burraco et al., 2023), blood biochemistry (Burraco et al., 2021a), lifespan, the stress hormone corticosterone or the ageing marker telomere length (Burraco et al., 2024). Another study found that Chornobyl tree frogs are much darker within the Exclusion Zone compared to those in the surrounding control area (44% darker, on average; Burraco and Orizaola, 2022). Differences in skin coloration of frogs were linked to high radiation levels at the time of the accident; frogs collected from areas with the highest levels of radiation in 1986 were darker than frogs from areas than those that experienced lower levels of radiation (Burraco and Orizaola, 2022). This darker pigmentation (i.e. higher concentration of melanin) detected in Chornobyl frogs still nowadays could be a consequence of rapid evolution linked to the protective role of melanin against ionizing radiation as found in organisms with lower level of organization (Cordero and Casadevall, 2020).
Beyond the eco-evolutionary significance of the study of ionizing radiation, understanding its long-term effects is crucial for accurately assessing the impact of nuclear accidents on wildlife (Beresford et al., 2020). A comprehensive evaluation of the consequences of extreme environments, such as those contaminated with ionizing radiation, requires integrating physiological and genetic information with a solid understanding of species biology. This knowledge is also relevant for assessing the level of risk to human repopulation of these areas. Field research in radiocontaminated areas should be complemented with additional approaches to investigate whether the effects of radiation are isotope-dependent or time (or dose-)-dependent, how these effects may change throughout the life cycle of different organisms and whether they include transgenerational consequences.
Relevance of Eco-Physiology for Wildlife Conservation
Research on the impact of extreme environments—both natural and anthropogenic—on wildlife can contribute to a better understanding of the responses and adaptations to environmental variation. This may be particularly helpful in the current scenario of rapid environmental change. The study of eco-evolutionary responses in extreme environments requires, at least, previously acquiring the following knowledge: (i) the range for the studied environmental condition and population or species, including historic exposure to the studied conditions; (ii) the basics of the species biology such as generation time, phenotypic plasticity and physiological levels under common ranges of variation of the studied conditions; (iii) possible interactions between the main studied condition and other relevant factors. Although not easy to acquire, this information will allow investigating whether wild populations have evolved specific physiological adaptations to cope with extreme environmental conditions.
During the last decades, ecophysiologists have increasingly highlighted the link between various physiological mechanisms and how environmental conditions impact animal health, finally shaping eco-evolutionary dynamics (Madliger et al., 2018; Isaksson, 2020). Some mechanisms have been presented as good indicators of wildlife responses and adaptations to stressful conditions. This is the case, among others, of organismal and tissue-specific metabolism, glucocorticoids (e.g. cortisol, corticosterone), heat shock proteins (HSPs), oxidative stress indicators, immune-related genes (immunoglobulins, cytokines) or telomere length (Sørensen et al., 2003; McCormick and Romero, 2017; Koch et al., 2021; Ohmer et al., 2021; Costantini, 2024). Such integrated stress response often involves energy costly process to restore homeostasis (McEwen and Wingfield, 2003), which can finally result in fitness decreases. For instance, glucocorticoids can modulate mitochondrial activity and the antioxidant machinery, whereas the overproduction of free radicals can influence cytokine signalling pathways and damage essential cell structures such as lipids, proteins or DNA (Vitale et al., 2013; Cain and Cidlowski, 2017). Markers, such as HSPs, greatly respond to specific challenging conditions like thermal stress, enabling researchers to evaluate species' adaptability to climate change (Sørensen et al., 2003). Other markers, such as telomere length, are considered as crucial biomarkers for the cumulative impact of environmental stress on cellular and organismal ageing and health (Angelier et al., 2018; Burraco et al., 2020; Chatelain et al., 2020; Salmón and Burraco, 2022). Indeed, telomere dynamics are thought to be associated with high release of glucocorticoids, oxidative stress, heat shock proteins or the immune function, which likely explains the link between telomere shortening and accelerated organismal ageing or reduced health span (López-Otín et al., 2023). The use of epigenetic markers, and particularly the epigenetic clocks, also seems to be a prominent tool to comprehensibly understand how environmental stressors influence both immediate and long-term health outcomes (Rey et al., 2020; Le Clercq et al., 2023).
Establishing baseline data on ecophysiological markers helps evolutionary ecologists and conservationists to identify deviations from normal health states when conditions become extreme. This includes the understanding of daily and seasonal variation and thresholds beyond physiological levels that become detrimental for the organism. An accurate evaluation of animal health under extreme environments should include both field and laboratory longitudinal approaches measuring different physiological markers, complemented with information on life-history traits (e.g. growth, reproduction), ideally throughout the lifetime of a number of individuals of populations exposed to a range of natural and anthropogenic environmental conditions (Fig. 1B, left). By comparing these responses under standard versus extreme conditions, we can identify shifts that may be adaptive or maladaptive, and begin to elucidate the underlying mechanisms driving population resilience or decline (Fig. 1B, middle). Physiological markers, in this context, offer valuable insight into the sub-lethal impacts of environmental stressors and can serve as early-warning indicators of population health.
Importantly, once such biomarkers are validated, they can be integrated into mechanistic frameworks such as Species Distribution Models (SDMs; Fig. 1B, right) to forecast species distribution under future scenarios (Kearney and Porter, 2009; Johnston et al., 2019; e.g. Becker et al., 2020; Burraco et al., 2021d). These models are a promising tool to inform conservation actions by identifying vulnerable populations which, therefore, should include the development of targeted management and restoration strategies. In addition, advances in technologies, such as high-throughput screenings (e.g. metabolomics, proteomics) or remote sensing monitoring, in combination with currently available physiological and modelling tools, could greatly help to anticipate the effects of global changes and particularly of extreme events, on the demography and health of wild populations.
Acknowledgements
The Company of Biologists and the organization of the 2023 Society of Experimental Biology Centenary Conference in Edinburgh allowed us to organize a symposium on the evolutionary ecology of extreme environments where we set the theoretical grounds for this paper.
Contributor Information
Pablo Burraco, Doñana Biological Station (CSIC), c/ Americo Vespucio 26, 41092 Seville, Spain.
Lucy Hawkes, Department of Biosciences, University of Exeter, Hatherly Laboratories, Prince of Wales Road, Exeter EX4 4PS, UK.
Natalie Pilakouta, Centre for Biological Diversity, Biomedical Sciences Research Complex, University of St Andrews, Saint Andrews KY16 9TZ, UK.
Frédéric Angelier, Centre d’Études Biologiques de Chizé, CNRS—La Rochelle Université, UMR7372, 405 Route de Prissé la Charrière, 79360 Villiers-en-Bois, France.
Kristien I Brans, Department of Biology, Vrije Universiteit Brussel, Etterbeek Brussels, Pleinlaan 2, 1050 Ixelles, Belgium.
Germán Orizaola, IMIB-Biodiversity Research Institute (Univ. Oviedo-CSIC-Princip. Asturias), Campus de Mieres, Edificio de Investigación – 5ª planta, c/ Gonzalo Gutiérrez Quirós s/n, 33600 Mieres, Asturias, Spain; Zoology Unit, Department of Biology of Organisms and Systems, University of Oviedo, Oviedo, c/ Catedrático Rodrigo Uría s/n, 33071, Asturias, Spain.
Author contributions
P.B. and G.O. conceived the manuscript and drafted the first version. L.H., N.P., F.A., and K.I.B. contributed to the manuscript writing. All authors reviewed and approved the final manuscript.
Conflicts of Interest
The authors have no conflicts of interest.
Funding
This work was supported by the Spanish Ministry of Science and Innovation (Ramón y Cajal Program RyC2023-044964-I to P.B. and Ramón y Cajal Program RYC-2016-20656 to G.O.), the Biotechnology and Biosciences Research Council UK (to L.H.), the Agence Nationale de la Recherche (ANR project VITIBIRD ANR-20-CE34-0008 to F.A.), the Region Nouvelle-Aquitaine (MULTISTRESS project to F.A.), the Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (ANSES project BiodiTox #2019/1/031 to F.A.), the Contrat Plan-État Region (CPER ECONAT to F.A.), the Centre National de la Recherche Scientifique (to F.A.), and the Research Foundation Flanders (FWO, post-doctoral fellow 1222123N to K.I.B.).
References
- Alberti M (2015) Eco-evolutionary dynamics in an urbanizing planet. Trends Ecol Evol 30: 114–126. 10.1016/j.tree.2014.11.007. [DOI] [PubMed] [Google Scholar]
- Alberti M (2024) Cities of the Anthropocene: urban sustainability in an eco-evolutionary perspective. Philos Trans R Soc B Biol Sci 379: 20220264. 10.1098/rstb.2022.0264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Albertson RC, Cresko W, Detrich HW, Postlethwait JH (2009) Evolutionary mutant models for human disease. Trends Genet 25: 74–81. 10.1016/j.tig.2008.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ando N, Barquera B, Bartlett DH, Boyd E, Burnim AA, Byer AS, Colman D, Gillilan RE, Gruebele M, Makhatadze G et al. (2021) The molecular basis for life in extreme environments. Annu Rev Biophys 50: 343–372. 10.1146/annurev-biophys-100120-072804. [DOI] [PubMed] [Google Scholar]
- Angelier F, Costantini D, Blévin P, Chastel O (2018) Do glucocorticoids mediate the link between environmental conditions and telomere dynamics in wild vertebrates? A review. Gen Comp Endocrinol 256: 99–111. 10.1016/j.ygcen.2017.07.007. [DOI] [PubMed] [Google Scholar]
- Angelier F, Prouteau L, Brischoux F, Chastel O, Devier MH, Le Menach K, Martin S, Mohring B, Pardon P, Budzinski H (2023) High contamination of a sentinel vertebrate species by azoles in vineyards: a study of common blackbirds (Turdus merula) in multiple habitats in western France. Environ Pollut 316: 120655. 10.1016/j.envpol.2022.120655. [DOI] [PubMed] [Google Scholar]
- Austin CJ, Moehring AJ (2019) Local thermal adaptation detected during multiple life stages across populations of Drosophila melanogaster. J Evol Biol 32: 1342–1351. 10.1111/jeb.13530. [DOI] [PubMed] [Google Scholar]
- Bailey LD, van de Pol M (2016) Tackling extremes: challenges for ecological and evolutionary research on extreme climatic events. J Anim Ecol 85: 85–96. 10.1111/1365-2656.12451. [DOI] [PubMed] [Google Scholar]
- Barneche DR, Hulatt CJ, Dossena M, Padfield D, Woodward G, Trimmer M, Yvon-Durocher G (2021) Warming impairs trophic transfer efficiency in a long-term field experiment. Nature 592: 76–79. 10.1038/s41586-021-03352-2. [DOI] [PubMed] [Google Scholar]
- Becker DJ, Albery GF, Kessler MK, Lunn TJ, Falvo CA, Czirják G, Martin LB, Plowright RK (2020) Macroimmunology: the drivers and consequences of spatial patterns in wildlife immune defence. J Anim Ecol 89: 972–995. 10.1111/1365-2656.13166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bellot P, Brischoux F, Budzinski H, Dupont SM, Fritsch C, Hope SF, Michaud B, Pallud M, Parenteau C, Prouteau L et al. (2025a) Chronic exposure to tebuconazole alters thyroid hormones and plumage quality in house sparrows (Passer domesticus). Environ Sci Pollut Res 32: 3328–3342. 10.1007/s11356-023-28259-5. [DOI] [PubMed] [Google Scholar]
- Bellot P, Brischoux F, Fritsch C, Lièvre L, Ribout C, Angelier F (2025b) Chronic exposure to tebuconazole impairs offspring growth and survival in farmland birds: an experiment in captive house sparrows. Environ Res 275: 121321. 10.1016/j.envres.2025.121321. [DOI] [PubMed] [Google Scholar]
- Bellot P, Dupont SM, Brischoux F, Budzinski H, Chastel O, Fritsch C, Lourdais O, Prouteau L, Rocchi S, Angelier F (2022) Experimental exposure to tebuconazole affects metabolism and body condition in a passerine bird, the house sparrow (Passer domesticus). Environ Toxicol Chem 41: 2500–2511. 10.1002/etc.5446. [DOI] [PubMed] [Google Scholar]
- Beresford N, Copplestone D (2011) Effects of ionizing radiation on wildlife: what knowledge have we gained between the Chernobyl and Fukushima accidents? Integr Environ Assess Manag 7: 371–373. 10.1002/ieam.238. [DOI] [PubMed] [Google Scholar]
- Beresford N, Horemans N, Copplestone D, Raines K, Orizaola G, Wood M, Laanen P, Whitehead H, Burrows J, Tinsley M et al. (2020) Towards solving a scientific controversy—the effects of ionising radiation on the environment. J Environ Radioact 211: 106033. 10.1016/j.jenvrad.2019.106033. [DOI] [PubMed] [Google Scholar]
- Bishop CM (1997) Heart mass and the maximum cardiac output of birds and mammals: implications for estimating the maximum aerobic power input of flying animals. Philos Trans R Soc B Biol Sci 352: 447–456. 10.1098/rstb.1997.0032. [DOI] [Google Scholar]
- Black CP, Tenney SM (1980) Oxygen transport during progressive hypoxia in high-altitude and sea-level waterfowl. Respir Physiol 39: 217–239. 10.1016/0034-5687(80)90046-8. [DOI] [PubMed] [Google Scholar]
- Boothby TC (2019) Mechanisms and evolution of resistance to environmental extremes in animals. Evodevo 10: 30. 10.1186/s13227-019-0143-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bradshaw SD, Morris KD, Bradshaw FJ (2001) Water and electrolyte homeostasis and kidney function of desert-dwelling marsupial wallabies in western Australia. J Comp Physiol B Biochem Syst Environ Physiol 171: 23–32. 10.1007/s003600000144. [DOI] [PubMed] [Google Scholar]
- Brans K, Almeida RA, Fajgenblat M (2021) Genetic differentiation in pesticide resistance between urban and rural populations of a nontarget freshwater keystone interactor, Daphnia magna. Evol Appl 14: 2541–2552. 10.1111/eva.13293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brans K, Engelen JMT, Souffreau C, De Meester L (2018a) Urban hot-tubs: local urbanization has profound effects on average and extreme temperatures in ponds. Landsc Urban Plan 176: 22–29. 10.1016/j.landurbplan.2018.03.013. [DOI] [Google Scholar]
- Brans K, Govaert L, De Meester L (2020) Evolutionary dynamics of urban evolutionary biology. In: M Szulkin, J Munshi-South, A Charmantier, eds. Urban Evolutionary Biology. Oxford University Press, New York, NY, pp. 175-196, 10.1093/oso/9780198836841.003.0011. [DOI] [Google Scholar]
- Brans K, Jansen M, Vanoverbeke J, Tüzün N, Stoks R, De Meester L (2017) The heat is on: genetic adaptation to urbanization mediated by thermal tolerance and body size. Glob Chang Biol 23: 5218–5227. 10.1111/gcb.13784. [DOI] [PubMed] [Google Scholar]
- Brans K, Stoks R, De Meester L (2018b) Urbanization drives genetic differentiation in physiology and structures the evolution of pace-of-life syndromes in the water flea Daphnia magna. Proc R Soc B Biol Sci 285: 20180169. 10.1098/rspb.2018.0169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brans KI, Tüzün N, Sentis A, De Meester L, Stoks R (2022) Cryptic eco-evolutionary feedback in the city: urban evolution of prey dampens the effect of urban evolution of the predator. J Anim Ecol 91: 514–526. 10.1111/1365-2656.13601. [DOI] [PubMed] [Google Scholar]
- Buckley BA, Owen M, Hofmann GE (2001) Adjusting the thermostat: the threshold induction temperature for the heat-shock response in intertidal mussels (genus Mytilus) changes as a function of thermal history. J Exp Biol 204: 3571–3579. 10.1242/jeb.204.20.3571. [DOI] [PubMed] [Google Scholar]
- Burraco P, Bonzom J-M, Car C, Beaugelin-Seiller K, Gashchak S, Orizaola G (2021a) Lack of impact of radiation on blood physiology biomarkers of Chernobyl tree frogs. Front Zool 18: 33. 10.1186/s12983-021-00416-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burraco P, Car C, Bonzom JM, Orizaola G (2021b) Assessment of exposure to ionizing radiation in Chernobyl tree frogs (Hyla orientalis). Sci Rep 11: 20509. 10.1038/s41598-021-00125-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burraco P, Gabor C (2023) Amphibian ecophysiology. In: Moreno-Rueda G, Comas M, eds. Evolutionary Ecology of Amphibians. CRC Press, Abingdon, Oxon, pp. 24–37. 10.1201/9781003093312-3. [DOI] [Google Scholar]
- Burraco P, Gabor C, Bryant A, Gardette V, Lengagne T, Bonzom JM, Orizaola G (2024) Ionizing radiation has negligible effects on the age, telomere length and corticosterone levels of Chornobyl tree frogs. Biol Lett 20: 20240287. 10.1098/rsbl.2024.0287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burraco P, Laurila A, Orizaola G (2021c) Limits to compensatory responses to altered phenology in amphibian larvae. Oikos 130: 231–239. 10.1111/oik.07919. [DOI] [Google Scholar]
- Burraco P, Lucas PM, Salmón P (2021d) Telomeres in a spatial context: a tool for understanding ageing pattern variation in wild populations. Ecography 2022: e05565. 10.1111/ecog.05565. [DOI] [Google Scholar]
- Burraco P, Orizaola G (2022) Ionizing radiation and melanism in Chornobyl tree frogs. Evol Appl 15: 1469–1479. 10.1111/eva.13476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burraco P, Orizaola G, Monaghan P, Metcalfe NB (2020) Climate change and ageing in ectotherms. Glob Chang Biol 26: 5371–5381. 10.1111/gcb.15305. [DOI] [PubMed] [Google Scholar]
- Burraco P, Salla RF, Orizaola G (2023) Exposure to ionizing radiation and liver histopathology in the tree frogs of Chornobyl (Ukraine). Chemosphere 315: 137753. 10.1016/j.chemosphere.2023.137753. [DOI] [PubMed] [Google Scholar]
- Butler JP, Banzett RB, Fredberg JJ (1988) Inspiratory valving in avian bronchi: aerodynamic considerations. Respir Physiol 72: 241–255. 10.1016/0034-5687(88)90010-2. [DOI] [PubMed] [Google Scholar]
- Butler PJ (2010) High fliers: the physiology of bar-headed geese. Comp Biochem Physiol A Mol Integr Physiol 156: 325–329. 10.1016/j.cbpa.2010.01.016. [DOI] [PubMed] [Google Scholar]
- Cain DW, Cidlowski JA (2017) Immune regulation by glucocorticoids. Nat Rev Immunol 17: 233–247. 10.1038/nri.2017.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caliendo V, Lewis NS, Pohlmann A, Baillie SR, Banyard AC, Beer M, Brown IH, Fouchier RAM, Hansen RDE, Lameris TK et al. (2022) Transatlantic spread of highly pathogenic avian influenza H5N1 by wild birds from Europe to North America in 2021. Sci Rep 12: 11729. 10.1038/s41598-022-13447-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Car C, Gilles A, Armant O, Burraco P, Beaugelin-Seiller K, Gashchak S, Camilleri V, Cavalié I, Laloi P, Adam-Guillermin C et al. (2022) Unusual evolution of tree frog populations in the Chernobyl exclusion zone. Evol Appl 15: 203–219. 10.1111/eva.13282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Car C, Gilles A, Goujon E, Muller MLD, Camoin L, Frelon S, Burraco P, Granjeaud S, Baudelet E, Audebert S et al. (2023) Population transcriptogenomics highlights impaired metabolism and small population sizes in tree frogs living in the Chernobyl exclusion zone. BMC Biol 21: 164. 10.1186/s12915-023-01659-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carson R (1962) Silent Spring. Houghton Mifflin, Boston. [Google Scholar]
- Chatelain M, Drobniak SM, Szulkin M (2020) The association between stressors and telomeres in non-human vertebrates: a meta-analysis. Ecol Lett 23: 381–398. 10.1111/ele.13426. [DOI] [PubMed] [Google Scholar]
- Chen L, Devries AL, Cheng CHC (1997) Convergent evolution of antifreeze glycoproteins in Antarctic notothenioid fish and Arctic cod. Proc Natl Acad Sci U S A 94: 3817–3822. 10.1073/pnas.94.8.3817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen TC, Kam YC, Lin YS (2001) Thermal physiology and reproductive phenology of Buergeria japonica (Rhacophoridae) breeding in a stream and a geothermal hotspring in Taiwan. Zoolog Sci 18: 591–596. 10.2108/zsj.18.591. [DOI] [Google Scholar]
- Chen X, Zaiwei W, Junhu SU, Huan LI, Xiong J, Keyi FU, Zilong W, Yuan X, Ziyue S, Miao X et al. (2023) Altitude-dependent metabolite biomarkers reveal the mechanism of plateau pika adaptation to high altitudes. Integr Zool 18: 1041–1055. 10.1111/1749-4877.12710. [DOI] [PubMed] [Google Scholar]
- Chevin LM, Hoffmann AA (2017) Evolution of phenotypic plasticity in extreme environments. Philos Trans R Soc B Biol Sci 372: 20160138. 10.1098/rstb.2016.0138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cieri RL, Farmer CG (2016) Unidirectional pulmonary airflow in vertebrates: a review of structure, function, and evolution. J Comp Physiol B Biochem Syst Environ Physiol 186: 541–552. 10.1007/s00360-016-0983-3. [DOI] [PubMed] [Google Scholar]
- Cordero RJB, Casadevall A (2020) Melanin. Curr Biol 30: R142–R143. 10.1016/j.cub.2019.12.042. [DOI] [PubMed] [Google Scholar]
- Costantini D (2024) The Role of Organismal Oxidative Stress in the Ecology and Life-history Evolution of Animals. Springer Nature Switzerland, Aargau. 10.1007/978-3-031-65183-0. [DOI] [Google Scholar]
- Cui P, Shi J, Wang C, Zhang Y, Xing X, Kong H, Yan C, Zeng X, Liu L, Tian G et al. (2022) Global dissemination of H5N1 influenza viruses bearing the clade 2.3.4.4b HA gene and biologic analysis of the ones detected in China. Emerg Microbes Infect 11: 1693–1704. 10.1080/22221751.2022.2088407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dawson NJ, Alza L, Nandal G, Scott GR, McCracken KG (2020) Convergent changes in muscle metabolism depend on duration of high-altitude ancestry across andean waterfowl. Elife 9: e56259. 10.7554/eLife.56259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- De Meester L, Brans K, Govaert L, Souffreau C, Mukherjee S, Vanvelk H, Korzeniowski K, Kilsdonk L, Decaestecker E, Stoks R et al. (2019) Analysing eco-evolutionary dynamics—the challenging complexity of the real world. Funct Ecol 33: 43–59. 10.1111/1365-2435.13261. [DOI] [Google Scholar]
- Des Roches S, Brans KI, Lambert MR, Rivkin LR, Savage AM, Schell CJ, Correa C, De Meester L, Diamond SE, Grimm NB et al. (2021) Socio-eco-evolutionary dynamics in cities. Evol Appl 14: 248–267. 10.1111/eva.13065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ebert D (2022) Daphnia as a versatile model system in ecology and evolution. Evodevo 13: 16. 10.1186/s13227-022-00199-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eikenaar C, Hegemann A (2016) Migratory common blackbirds have lower innate immune function during autumn migration than resident conspecifics. Biol Lett 12: 20160078–20160081. 10.1098/rsbl.2016.0078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eikenaar C, Hessler S, Hegemann A (2020) Migrating birds rapidly increase constitutive immune function during stopover. R Soc Open Sci 7: 192031. 10.1098/rsos.192031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fernández-Vizcaíno E, Mateo R, Fernández de Mera IG, Mougeot F, Camarero PR, Ortiz-Santaliestra ME (2024) Transgenerational effects of triazole fungicides on gene expression and egg compounds in non-exposed offspring: a case study using red-legged partridges (Alectoris rufa). Sci Total Environ 926: 171546. 10.1016/j.scitotenv.2024.171546. [DOI] [PubMed] [Google Scholar]
- Fischer BB, Pomati F, Eggen RIL (2013) The toxicity of chemical pollutants in dynamic natural systems: the challenge of integrating environmental factors and biological complexity. Sci Total Environ 449: 253–259. 10.1016/j.scitotenv.2013.01.066. [DOI] [PubMed] [Google Scholar]
- Fouqueau L, Polechová J (2024) Eco-evolutionary dynamics in changing environments: integrating theory with data. J Evol Biol 37: 579–587. 10.1093/jeb/voae067. [DOI] [PubMed] [Google Scholar]
- García MG, Sánchez JIL, Bravo KAS, Cabal MDC, Pérez-Santín E (2022) Review: presence, distribution and current pesticides used in Spanish agricultural practices. Sci Total Environ 845: 157291. 10.1016/j.scitotenv.2022.157291. [DOI] [PubMed] [Google Scholar]
- Geppert C, da Cruz M, Alma A, Andretta L, Anfora G, Battaglia D, Burgio G, Caccavo V, Chiesa SG, Cinquatti F et al. (2024) Climate and landscape composition explain agronomic practices, pesticide use and grape yield in vineyards across Italy. Agr Syst 215: 103853. 10.1016/j.agsy.2024.103853. [DOI] [Google Scholar]
- Gerhard M, Koussoroplis AM, Raatz M, Pansch C, Fey SB, Vajedsamiei J, Calderó-Pascual M, Cunillera-Montcusí D, Juvigny-Khenafou NPD, Polazzo F et al. (2023) Environmental variability in aquatic ecosystems: avenues for future multifactorial experiments. Limnol Oceanogr Lett 8: 247–266. 10.1002/lol2.10286. [DOI] [Google Scholar]
- Gicquel M, East ML, Hofer H, Benhaiem S (2022) Early-life adversity predicts performance and fitness in a wild social carnivore. J Anim Ecol 91: 2074–2086. 10.1111/1365-2656.13785. [DOI] [PubMed] [Google Scholar]
- Govaert L, Pantel JH, De Meester L (2016) Eco-evolutionary partitioning metrics: assessing the importance of ecological and evolutionary contributions to population and community change. Ecol Lett 19: 839–853. 10.1111/ele.12632. [DOI] [PubMed] [Google Scholar]
- Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, Briggs JM (2008) Global change and the ecology of cities. Science 319: 756–760. 10.1126/science.1150195. [DOI] [PubMed] [Google Scholar]
- Gunga HC (2020) Human Physiology in Extreme Environments. Academic Press, London. [Google Scholar]
- Hardie DC, Hutchings JA (2010) Evolutionary ecology at the extremes of species’ ranges. Environ Rev 18: 1–20. 10.1139/A09-014. [DOI] [Google Scholar]
- Hawkes LA, N. Batbayar N, Bishop CM, Butler PJ, Frappell PB, Meir JU, Milsom WK, Natsagdorj T, Scott GS (2017) Goose migration over the Himalayas: physiological adaptations. In: HH Prins, T Namgail, eds. Bird Migration Across the Himalayas: Wetland Functioning Amidst Mountains and Glaciers. Cambridge University Press, Cambridge, pp. 241-253. 10.1017/9781316335420.019. [DOI] [Google Scholar]
- Hawkes LA, Balachandran S, Batbayar N, Butler PJ, Chua B, Douglas DC, Frappell PB, Hou Y, Milsom WK, Newman SH et al. (2013) The paradox of extreme high-altitude migration in bar-headed geese Anser indicus. Proc R Soc B Biol Sci 280: 20122114. 10.1098/rspb.2012.2114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hawkes LA, Butler PJ, Frappell PB, Meir JU, Milsom WK, Scott GR, Bishop CM (2014) Maximum running speed of captive bar-headed geese is unaffected by severe hypoxia. PloS One 9: e94015. 10.1371/journal.pone.0094015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hendry AP, Gotanda KM, Svensson EI (2017) Human influences on evolution, and the ecological and societal consequences. Philos Trans R Soc B Biol Sci 372: 20160028. 10.1098/rstb.2016.0028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hill MJ, Greaves HM, Sayer CD, Hassall C, Milin M, Milner VS, Marazzi L, Hall R, Harper LR, Thornhill I et al. (2021) Pond ecology and conservation: research priorities and knowledge gaps. Ecosphere 12: e03853. 10.1002/ecs2.3853. [DOI] [Google Scholar]
- Hoset KS, Espmark Y, Fossøy F, Stokke BG, Jensen H, Wedege MI, Moksnes A (2014) Extra-pair paternity in relation to regional and local climate in an Arctic-breeding passerine. Polar Biol 37: 89–97. 10.1007/s00300-013-1412-7. [DOI] [Google Scholar]
- Houwenhuyse S, Stoks R, Mukherjee S, Decaestecker E (2021) Locally adapted gut microbiomes mediate host stress tolerance. ISME J 15: 2401–2414. 10.1038/s41396-021-00940-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- IAEA (2024) Nuclear hydrogen projects to support clean energy transition: updates on international initiatives and IAEA activities. Int J Hydrogen Energy 54: 768–779. [Google Scholar]
- ICRP (2008) Environmental protection: the concept and use of reference animals and plants. Ann ICRP 38: 1–242.19154964 [Google Scholar]
- Isaksson C (2020) Urban ecophysiology: beyond costs, stress and biomarkers. J Exp Biol 223: jeb203794. 10.1242/jeb.203794. [DOI] [PubMed] [Google Scholar]
- Jenouvrier SP, Péron C, Weimerskirch H (2015) Extreme climate events and individual heterogeneity shape life-history traits and population dynamics. Ecol Monogr 85: 605–624. 10.1890/14-1834.1. [DOI] [Google Scholar]
- Jiménez-Peñuela J, Santamaría-Cervantes C, Fernández-Vizcaíno E, Mateo R, Ortiz-Santaliestra ME (2024) Integrating adverse effects of triazole fungicides on reproduction and physiology of farmland birds. J Avian Biol 2025: e03313. 10.1111/jav.03313. [DOI] [Google Scholar]
- Johnston ASA, Boyd RJ, Watson JW, Paul A, Evans LC, Gardner EL, Boult VL (2019) Predicting population responses to environmental change from individual-level mechanisms: towards a standardized mechanistic approach. Proc R Soc B Biol Sci 286: 20191916. 10.1098/rspb.2019.1916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jutfelt F (2020) Metabolic adaptation to warm water in fish. Funct Ecol 34: 1138–1141. 10.1111/1365-2435.13558. [DOI] [Google Scholar]
- Karam PA, Leslie SA (2005) Changes in terrestrial natural radiation levels over the history of life. Radioact Environ 7: 107–117. 10.1016/S1569-4860(04)07011-1. [DOI] [Google Scholar]
- Kearney M, Porter W (2009) Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges. Ecol Lett 12: 334–350. 10.1111/j.1461-0248.2008.01277.x. [DOI] [PubMed] [Google Scholar]
- Keil G, Cummings E, de Magalhães JP (2015) Being cool: how body temperature influences ageing and longevity. Biogerontology 16: 383–397. 10.1007/s10522-015-9571-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kelly M (2019) Adaptation to climate change through genetic accommodation and assimilation of plastic phenotypes. Philos Trans R Soc B Biol Sci 374: 20180176. 10.1098/rstb.2018.0176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keppel G, Stralberg D, Morelli TL, Bátori Z (2024) Managing climate-change refugia to prevent extinctions. Trends Ecol Evol 39: 800–808. 10.1016/j.tree.2024.05.002. [DOI] [PubMed] [Google Scholar]
- Klaassen M (1996) Metabolic constraints on long-distance migration in birds. J Exp Biol 199: 57–64. 10.1242/jeb.199.1.57. [DOI] [PubMed] [Google Scholar]
- Klaassen M, Wille M (2023) The plight and role of wild birds in the current bird flu panzootic. Nat Ecol Evol 7: 1541–1542. 10.1038/s41559-023-02182-x. [DOI] [PubMed] [Google Scholar]
- Koch RE, Buchanan KL, Casagrande S, Crino O, Dowling DK, Hill GE, Hood WR, McKenzie M, Mariette MM, Noble DWA et al. (2021) Integrating mitochondrial aerobic metabolism into ecology and evolution. Trends Ecol Evol 36: 321–332. 10.1016/j.tree.2020.12.006. [DOI] [PubMed] [Google Scholar]
- Komaki S, Sutoh Y, Kobayashi K, Saito S, Saito CT, Igawa T, Lau Q (2020) Hot spring frogs (Buergeria japonica) prefer cooler water to hot water. Ecol Evol 10: 9466–9473. 10.1002/ece3.6637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Komárek M, Čadková E, Chrastný V, Bordas F, Bollinger JC (2010) Contamination of vineyard soils with fungicides: a review of environmental and toxicological aspects. Environ Int 36: 138–151. 10.1016/j.envint.2009.10.005. [DOI] [PubMed] [Google Scholar]
- Krishnan J, Seidel CW, Zhang N, Singh NP, VanCampen J, Peuß R, Xiong S, Kenzior A, Li H, Conaway JW et al. (2022) Genome-wide analysis of cis-regulatory changes underlying metabolic adaptation of cavefish. Nat Genet 54: 684–693. 10.1038/s41588-022-01049-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kurihara H, Suhara Y, Mimura I, Golbuu Y (2020) Potential acclimatization and adaptive responses of adult and trans-generation coral larvae from a naturally acidified habitat. Front Mar Sci 7: 581160. 10.3389/fmars.2020.581160. [DOI] [Google Scholar]
- Lane JV, Jeglinski JWE, Avery-Gomm S, Ballstaedt E, Banyard AC, Barychka T, Brown IH, Brugger B, Burt TV, Careen N et al. (2024) High pathogenicity avian influenza (H5N1) in northern gannets (Morus bassanus): global spread, clinical signs and demographic consequences. Ibis 166: 633–650. 10.1111/ibi.13275. [DOI] [Google Scholar]
- Le Clercq LS, Kotzé A, Grobler JP, Dalton DL (2023) Biological clocks as age estimation markers in animals: a systematic review and meta-analysis. Biol Rev 98: 1972–2011. 10.1111/brv.12992. [DOI] [PubMed] [Google Scholar]
- Lopez-Antia A, Ortiz-Santaliestra ME, Mougeot F, Camarero PR, Mateo R (2021) Birds feeding on tebuconazole treated seeds have reduced breeding output. Environ Pollut 271: 116292. 10.1016/j.envpol.2020.116292. [DOI] [PubMed] [Google Scholar]
- López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G (2023) Hallmarks of aging: an expanding universe. Cell 186: 243–278. 10.1016/j.cell.2022.11.001. [DOI] [PubMed] [Google Scholar]
- Maček I, Vodnik D, Pfanz H, Low-Décarie E, Dumbrell AJ (2016) Locally extreme environments as natural long-term experiments in ecology. Adv Ecol Res 55: 283–323. 10.1016/bs.aecr.2016.08.001. [DOI] [Google Scholar]
- Madeira D, Madeira C, Costa PM, Vinagre C, Pörtner HO, Diniz MS (2020) Different sensitivity to heatwaves across the life cycle of fish reflects phenotypic adaptation to environmental niche. Mar Environ Res 162: 105192. 10.1016/j.marenvres.2020.105192. [DOI] [PubMed] [Google Scholar]
- Madliger CL, Love OP, Hultine KR, Cooke SJ (2018) The conservation physiology toolbox: status and opportunities. Conserv Physiol 6: coy029. 10.1093/conphys/coy029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Magalhães JP (2015) The big, the bad and the ugly. EMBO Rep 16: 771–776. 10.15252/embr.201540606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maina JN (2008) Functional morphology of the avian respiratory system, the lung-air sac system: efficiency built on complexity. Ostrich 79: 117–132. 10.2989/OSTRICH.2008.79.2.1.575. [DOI] [Google Scholar]
- Matthews G (2015) Pesticides: Health, Safety and the Environment. John Wiley & Sons, Oxford. 10.1002/9781118975923. [DOI] [Google Scholar]
- McCormick SD, Romero LM (2017) Conservation endocrinology. Bioscience 67: 429–442. 10.1093/biosci/bix026. [DOI] [Google Scholar]
- McEwen BS, Wingfield JC (2003) The concept of allostasis in biology and biomedicine. Horm Behav 43: 2–15. 10.1016/s0018-506x(02)00024-7. [DOI] [PubMed] [Google Scholar]
- Meir JU, Milsom WK (2013) High thermal sensitivity of blood enhances oxygen delivery in the high-flying bar-headed goose. J Exp Biol 216: 2172–2175. 10.1242/jeb.085282. [DOI] [PubMed] [Google Scholar]
- Noor I, Sohail H, Akhtar MT, Cui J, Lu Z, Mostafa S, Hasanuzzaman M, Hussain S, Guo N, Jin B (2024) From stress to resilience: unraveling the molecular mechanisms of cadmium toxicity, detoxification and tolerance in plants. Sci Total Environ 954: 176462. 10.1016/j.scitotenv.2024.176462. [DOI] [PubMed] [Google Scholar]
- Oertli B, Parris KM (2019) Review: toward management of urban ponds for freshwater biodiversity. Ecosphere 10: e02810. 10.1002/ecs2.2810. [DOI] [Google Scholar]
- Ohmer MEB, Costantini D, Czirják G, Downs CJ, Ferguson LV, Flies A, Franklin CE, Kayigwe AN, Knutie S, Richards-Zawacki CL et al. (2021) Applied ecoimmunology: using immunological tools to improve conservation efforts in a changing world. Conserv Physiol 9: coab074. 10.1093/conphys/coab074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parrilli E, Tedesco P, Fondi M, Tutino ML, Lo Giudice A, de Pascale D, Fani R (2021) The art of adapting to extreme environments: the model system Pseudoalteromonas. Phys Life Rev 36: 137–161. 10.1016/j.plrev.2019.04.003. [DOI] [PubMed] [Google Scholar]
- Pastenes L, Valdivieso C, Di Genova A, Travisany D, Hart A, Montecino M, Orellana A, Gonzalez M, Gutiérrez RA, Allende ML et al. (2017) Global gene expression analysis provides insight into local adaptation to geothermal streams in tadpoles of the Andean toad Rhinella spinulosa. Sci Rep 7: 1966. 10.1038/s41598-017-01982-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pilakouta N, Humble JL, Hill IDC, Arthur J, Costa APB, Smith BA, Kristjansson BK, Skulason S, Killen SS, Lindstrom 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]
- 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]
- 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]
- Pilakouta N, O’Donnell PJ, Crespel A, Levet M, Claireaux M, Humble JL, Kristjánsson BK, Skúlason S, Lindström J, Metcalfe NB et al. (2023c) A warmer environment can reduce sociability in an ectotherm. Glob Chang Biol 29: 206–214. 10.1111/gcb.16451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Prouteau L, Dévier MH, Angelier F, Chastel O, Brischoux F, Pardon P, Le MK, Budzinski H (2025) Biomonitoring of azole fungicides in free-living blackbird plasma using on-line solid-phase extraction coupled to liquid chromatography-tandem mass spectrometry (SPE HPLC-MS/MS). J Chromatogr A 1748: 465725. 10.1016/j.chroma.2025.465725. [DOI] [PubMed] [Google Scholar]
- Quenta-Herrera E, Daza A, Lazzaro X, Jacobsen D, Dangles O, Cauvy-Fraunié S (2021) Aquatic biota responses to temperature in a high Andean geothermal stream. Freshw Biol 66: 1889–1900. 10.1111/fwb.13798. [DOI] [Google Scholar]
- Ramey AM, Hill NJ, DeLiberto TJ, Gibbs SEJ, Camille Hopkins M, Lang AS, Poulson RL, Prosser DJ, Sleeman JM, Stallknecht DE et al. (2022) Highly pathogenic avian influenza is an emerging disease threat to wild birds in North America. J Wildl Manage 86: e22171. 10.1002/jwmg.22171. [DOI] [Google Scholar]
- Reid K, Bell MA, Veeramah KR (2021) Threespine stickleback: a model system for evolutionary genomics. Annu Rev Genomics Hum Genet 22: 357–383. 10.1146/annurev-genom-111720-081402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rey O, Eizaguirre C, Angers B, Baltazar-Soares M, Sagonas K, Prunier JG, Blanchet S (2020) Linking epigenetics and biological conservation: towards a conservation epigenetics perspective. Funct Ecol 34: 414–427. 10.1111/1365-2435.13429. [DOI] [Google Scholar]
- Riddle MR, Aspiras AC, Gaudenz K, Peuß R, Sung JY, Martineau B, Peavey M, Box AC, Tabin JA, McGaugh S et al. (2018) Insulin resistance in cavefish as an adaptation to a nutrient-limited environment. Nature 555: 647–651. 10.1038/nature26136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rigal S, Dakos V, Alonso H, Auniņš A, Benkő Z, Brotons L, Chodkiewicz T, Chylarecki P, De Carli E, Del Moral JC et al. (2023) Farmland practices are driving bird population decline across Europe. Proc Natl Acad Sci U S A 120: e2216573120. 10.1073/pnas.2216573120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rothschild LJ, Mancinelli RL (2001) Life in extreme environments. Nature 409: 1092–1101. 10.1038/35059215. [DOI] [PubMed] [Google Scholar]
- Saaristo M, Brodin T, Balshine S, Bertram MG, Brooks BW, Ehlman SM, McCallum ES, Sih A, Sundin J, Wong BBM et al. (2018) Direct and indirect effects of chemical contaminants on the behaviour, ecology and evolution of wildlife. Proc R Soc B Biol Sci 285: 20181297. 10.1098/rspb.2018.1297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Salmón P, Burraco P (2022) Telomeres and anthropogenic disturbances in wildlife: a systematic review and meta-analysis. Mol Ecol 31: 6018–6039. 10.1111/mec.16370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Santivasi WL, Xia F (2014) Ionizing radiation-induced DNA damage, response, and repair. Antioxidants Redox Signal 21: 251–259. 10.1089/ars.2013.5668. [DOI] [PubMed] [Google Scholar]
- Schmidt R, Zummach C, Sinai N, Sabino-Pinto J, Künzel S, Dausmann KH, Ruthsatz K (2024) Physiological responses to a changing winter climate in an early spring-breeding amphibian. Ecol Evol 14: e70042. 10.1002/ece3.70042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scott GR, Egginton S, Richards JG, Milsom WK (2009) Evolution of muscle phenotype for extreme high altitude flight in the bar-headed goose. Proc R Soc B Biol Sci 276: 3645–3653. 10.1098/rspb.2009.0947. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scott GR, Hawkes LA, Frappell PB, Butler PJ, Bishop CM, Milsom WK (2015) How bar-headed geese fly over the Himalayas. Physiology 30: 107–115. 10.1152/physiol.00050.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scott GR, Milsom WK (2007) Control of breathing and adaptation to high altitude in the bar-headed goose. Am J Physiol Regul Integr Comp Physiol 293: R379–R391. 10.1152/ajpregu.00161.2007. [DOI] [PubMed] [Google Scholar]
- Sohrabi M (2013) World high background natural radiation areas: need to protect public from radiation exposure. Radiat Meas 50: 166–171. 10.1016/j.radmeas.2012.03.011. [DOI] [Google Scholar]
- Sørensen JG, Kristensen TN, Loeschcke V (2003) The evolutionary and ecological role of heat shock proteins. Ecol Lett 6: 1025–1037. 10.1046/j.1461-0248.2003.00528.x. [DOI] [Google Scholar]
- Stanton RL, Morrissey CA, Clark RG (2018) Analysis of trends and agricultural drivers of farmland bird declines in North America: a review. Agric Ecosyst Environ 254: 244–254. 10.1016/j.agee.2017.11.028. [DOI] [Google Scholar]
- Stenseth NC, Durant JM, Fowler MS, Matthysen E, Adriaensen F, Jonzén N, Chan KS, Liu H, De Laet J, Sheldon BC et al. (2015) Testing for effects of climate change on competitive relationships and coexistence between two bird species. Proc R Soc B Biol Sci 282: 20141958. 10.1098/rspb.2014.1958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Storey KB, Storey JM (2005) Biochemical adaptation to extreme environments. In W Walz, ed, Biochemical Adaptation to Extreme Environments. Humana Press, Totowa, NJ, pp. 169–200. [Google Scholar]
- Storz JF, Liphardt S, Quiroga-Carmona M, Bautista NM, Opazo JC, Wheeler TB, D’Elía G, Good JM (2023) Genomic insights into the mystery of mouse mummies on the summits of Atacama volcanoes. Curr Biol 33: R1040–R1042. 10.1016/j.cub.2023.08.081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Storz JF, Scott GR (2023) To what extent do physiological tolerances determine elevational range limits of mammals? J Physiol 602: 5475–5484. 10.1113/JP284586. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Swan L (1970) Goose of the Himalayas. Nat Hist 70: 68–75. [Google Scholar]
- Szulkin M, Munshi-South J, Charmantier A (2020) Urban Evolutionary Biology. Oxford University Press, Oxford. 10.1093/oso/9780198836841.001.0001. [DOI] [Google Scholar]
- Terrill RS, Shultz AJ (2023) Feather function and the evolution of birds. Biol Rev 98: 540–566. 10.1111/brv.12918. [DOI] [PubMed] [Google Scholar]
- Thiel V (2011) Extreme environments. In: J Reitner, V Thiel, eds, Encyclopedia of Geobiology. Encyclopedia of Earth Sciences Series. Springer, Dordrecht. 10.1007/978-1-4020-9212-1_87. [DOI] [Google Scholar]
- Tobolka M, Zielińska Z, Fusani L, Huber N, Maggini I, Pola G, Marasco V (2024) Controlled expression of avian pre-migratory fattening influences indices of innate immunity. Biol Open 13: bio060018. 10.1242/bio.060018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tüzün N, Op de Beeck L, Brans K, Janssens L, Stoks R (2017) Microgeographic differentiation in thermal performance curves between rural and urban populations of an aquatic insect. Evol Appl 10: 1067–1075. 10.1111/eva.12512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ubach A, Páramo F, Prohom M, Stefanescu C (2022) Weather and butterfly responses: a framework for understanding population dynamics in terms of species’ life-cycles and extreme climatic events. Oecologia 199: 427–439. 10.1007/s00442-022-05188-7. [DOI] [PubMed] [Google Scholar]
- Van de Pol M, Jenouvrier S, Cornelissen JHC, Visser ME (2017) Behavioural, ecological and evolutionary responses to extreme climatic events: challenges and directions. Philos Trans R Soc B Biol Sci 372: 20160134. 10.1098/rstb.2016.0134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vanvelk H, Govaert L, van den Berg EM, Brans KI, De Meester L (2021) Interspecific differences, plastic, and evolutionary responses to a heat wave in three co-occurring daphnia species. Limnol Oceanogr 66: 1201–1220. 10.1002/lno.11675. [DOI] [Google Scholar]
- da Costa FV, Viana-Júnior AB, Aguilar R, Silveira FAO, Cornelissen TG (2023) Biodiversity and elevation gradients: insights on sampling biases across worldwide mountains. J Biogeogr 50: 1879–1889. 10.1111/jbi.14696. [DOI] [Google Scholar]
- Vicuña L, Fernandez MI, Vial C, Valdebenito P, Chaparro E, Espinoza K, Ziegler A, Bustamante A, Eyheramendy S (2019) Adaptation to extreme environments in an admixed human population from the Atacama Desert. Genome Biol Evol 11: 2468–2479. 10.1093/gbe/evz172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vitale G, Salvioli S, Franceschi C (2013) Oxidative stress and the ageing endocrine system. Nat Rev Endocrinol 9: 228–240. 10.1038/nrendo.2013.29. [DOI] [PubMed] [Google Scholar]
- Wang Y, Guo B (2019) Adaption to extreme environments: a perspective from fish genomics. Rev Fish Biol Fish 29: 735–747. 10.1007/s11160-019-09577-9. [DOI] [Google Scholar]
- Ward S, Bishop CM, Woakes AJ, Butler PJ (2002) Heart rate and the rate of oxygen consumption of flying and walking barnacle geese (Branta leucopsis) and bar-headed geese (Anser indicus). J Exp Biol 205: 3347–3356. 10.1242/jeb.205.21.3347. [DOI] [PubMed] [Google Scholar]
- Webster MM, Hart PJB (2006) Kleptoparasitic prey competition in shoaling fish: effects of familiarity and prey distribution. Behav Ecol 17: 959–964. 10.1093/beheco/arl037. [DOI] [Google Scholar]
- Whiteman JP (2021) Polar Bear Behavior: Morphologic and physiologic adaptations. In: RW Davis, AM Pagano, eds. Ethology and Behavioral Ecology of Sea Otters and Polar Bears. Springer International Publishing, Cham, pp. 219–246. 10.1007/978-3-030-66796-2_12. [DOI] [Google Scholar]
- Wingfield JC, Kelley JP, Angelier F (2011) What are extreme environmental conditions and how do organisms cope with them? Curr Zool 57: 363–374. 10.1093/czoolo/57.3.363. [DOI] [Google Scholar]
- Xiong S, Wang W, Kenzior A, Olsen L, Krishnan J, Persons J, Medley K, Peuß R, Wang Y, Chen S et al. (2022) Enhanced lipogenesis through Pparγ helps cavefish adapt to food scarcity. Curr Biol 32: 2272–2280.e6. 10.1016/j.cub.2022.03.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zielonka NB, Shutt JD, Butler SJ, Dicks LV (2024) Management practices, and not surrounding habitats, drive bird and arthropod biodiversity within vineyards. Agric Ecosyst Environ 367: 108982. 10.1016/j.agee.2024.108982. [DOI] [Google Scholar]

