Further integrating social context into comparative and environmental physiology

Environmental factors such as temperature and oxygen are well-established modulators of animal physiology, but the influence of social context remains under-integrated into comparative and environmental physiology. Although numerous studies across behavioural, ecological and biomedical fields show that social interactions alter metabolic, hormonal, immune and stress-related traits, these insights are not routinely incorporated into physiological study design or interpretation. Social effects arise through mechanisms such as isolation, dominance hierarchies, altered energy use and social buffering, and can amplify or dampen responses to abiotic stressors. Because metabolic and hormonal pathways regulate multiple physiological systems, socially induced shifts can cascade to affect cardiovascular, immune, neural, digestive, osmoregulatory and reproductive function over both acute and evolutionary time scales. Thus, overlooking social context places researchers at risk of taking two critical missteps in comparative and environmental physiology: (1) measuring animals under socially unrealistic or uncontrolled conditions, which can yield unrepresentative physiological estimates; and (2) extrapolating these findings to natural populations where trait expression is influenced by social dynamics that are absent from the experimental context. Together, these issues might bias estimates of physiological trait values, plasticity and heritability, and limit the ecological relevance and predictive power of physiological research. Here, we outline general strategies to incorporate social context into experimental design, including the use of emerging tools that allow physiological measurements in naturalistic social settings. Integration of social context, alongside abiotic drivers, will improve our capacity to predict organismal responses to environmental change through comparative physiological research.

Authors

Institutions

Publication Details

Journal
Journal of Experimental Biology
Published
2026-02-01
DOI
https://doi.org/10.1242/jeb.251374
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Further integrating social context into comparative and environmental physiology

Cheng Fu, Emmanuelle Chrétien, Jolle W. Jolles, Emil Aputsiaq Flindt Christensen et al.
Journal of Experimental Biology
Animal Behavior and Welfare Studies
article

Further integrating social context into comparative and environmental physiology

Cheng Fu, Emmanuelle Chrétien, Jolle W. Jolles, Emil Aputsiaq Flindt Christensen, Daphne Cortese, Mar Pineda, S. S. Killen, Amélie Crespel, Lucy Cotgrove, David J. McKenzie, Amelia Munson, Izzy C. Tiddy, Daiani Kochhann
article en

Abstract

Environmental factors such as temperature and oxygen are well-established modulators of animal physiology, but the influence of social context remains under-integrated into comparative and environmental physiology. Although numerous studies across behavioural, ecological and biomedical fields show that social interactions alter metabolic, hormonal, immune and stress-related traits, these insights are not routinely incorporated into physiological study design or interpretation. Social effects arise through mechanisms such as isolation, dominance hierarchies, altered energy use and social buffering, and can amplify or dampen responses to abiotic stressors. Because metabolic and hormonal pathways regulate multiple physiological systems, socially induced shifts can cascade to affect cardiovascular, immune, neural, digestive, osmoregulatory and reproductive function over both acute and evolutionary time scales. Thus, overlooking social context places researchers at risk of taking two critical missteps in comparative and environmental physiology: (1) measuring animals under socially unrealistic or uncontrolled conditions, which can yield unrepresentative physiological estimates; and (2) extrapolating these findings to natural populations where trait expression is influenced by social dynamics that are absent from the experimental context. Together, these issues might bias estimates of physiological trait values, plasticity and heritability, and limit the ecological relevance and predictive power of physiological research. Here, we outline general strategies to incorporate social context into experimental design, including the use of emerging tools that allow physiological measurements in naturalistic social settings. Integration of social context, alongside abiotic drivers, will improve our capacity to predict organismal responses to environmental change through comparative physiological research.

Journal of Experimental BiologyVol. 229(3)
Chongqing Normal University (CN), Centre National de la Recherche Scientifique (FR), Ifremer (FR), University of Turku (FI), Turku University of Applied Sciences (FI), Université du Québec à Rimouski (CA), Université de Montpellier (FR), Swedish University of Agricultural Sciences (SE), Natural Resources Institute Finland (FI), Cégep de Rimouski (CA), State University of Vale do Acaraú (BR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Centre d'Estudis Avançats de Blanes (ES), Institut de Recherche pour le Développement (FR), University of Glasgow (GB)
Fisheries Society of the British Isles, University of Glasgow, Natural Sciences and Engineering Research Council of Canada, Natural Environment Research Council
Openalex Percentile: Top 62%
Animal Behavior and Welfare Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.