Evidence map›Paper›PMID 40799845›Full record

ArticleConservation physiology2025

Evolutionary ecophysiology in extreme environments under a global change scenario.

Pablo Burraco, Lucy Hawkes, Natalie Pilakouta, Frédéric Angelier, Kristien I Brans, Germán Orizaola

Abstract read
In one paragraph

Article in Conservation physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pablo BurracoDoñana Biological Station (CSIC), c/ Americo Vespucio 26, 41092 Seville, Spain.ORCID https://orcid.org/0000-0002-9007-2643
Lucy HawkesDepartment of Biosciences, University of Exeter, Hatherly Laboratories, Prince of Wales Road, Exeter EX4 4PS, UK.ORCID https://orcid.org/0000-0002-6696-1862
Natalie PilakoutaCentre for Biological Diversity, Biomedical Sciences Research Complex, University of St Andrews, Saint Andrews KY16 9TZ, UK.
Frédéric AngelierCentre d'Études Biologiques de Chizé, CNRS-La Rochelle Université, UMR7372, 405 Route de Prissé la Charrière, 79360 Villiers-en-Bois, France.
Kristien I BransDepartment of Biology, Vrije Universiteit Brussel, Etterbeek Brussels, Pleinlaan 2, 1050 Ixelles, Belgium.
Germán OrizaolaIMIB-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.ORCID https://orcid.org/0000-0002-6748-966X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Anthropogenic disturbancesbiomarkersclimate changeconservation physiologyenvironmental stress

Identifiers

PMID40799845
PMCPMC12342908

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.