TY - JOUR
T1 - Evolutionary ecophysiology in extreme environments under a global change scenario
AU - Burraco, Pablo
AU - Hawkes, Lucy
AU - Pilakouta, Natalie
AU - Angelier, Frédéric
AU - Brans, Kristien I
AU - Orizaola, Germán
N1 - 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.).
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Anthropogenic disturbances
KW - Biomarkers
KW - Climate change
KW - Conservation physiology
KW - Environmental stress
U2 - 10.1093/conphys/coaf059
DO - 10.1093/conphys/coaf059
M3 - Article
C2 - 40799845
SN - 2051-1434
VL - 13
SP - 1
EP - 15
JO - Conservation Physiology
JF - Conservation Physiology
IS - 1
M1 - coaf059
ER -