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Evolutionary ecophysiology in extreme environments under a global change scenario
Pablo Burraco1, Lucy Hawkes2, Natalie Pilakouta3
1Doñana Biological Station (CSIC), c/ Americo Vespucio 26, 41092 Seville, Spain.
Wildlife faces extreme environmental conditions, requiring understanding of eco-physiological responses for conservation. Research highlights knowledge gaps and proposes integrating physiological markers with models for better conservation strategies.
Area of Science:
- Ecology and evolutionary biology
- Conservation physiology
- Environmental science
Background:
- Wildlife increasingly encounters extreme environmental conditions beyond normal ranges.
- Understanding ecological and evolutionary dynamics is crucial for animal conservation.
- Defining 'extreme' involves natural/anthropogenic disturbances, intensity, and species-specific biology.
Purpose of the Study:
- Discuss eco-physiological singularities of wildlife coping with extreme conditions.
- Illustrate diverse wildlife responses through case studies.
- Identify knowledge gaps and propose future research directions.
Main Methods:
- Review and discussion of eco-physiological responses to extreme environments.
- Presentation of five case studies: high-altitude birds, geothermal fish, pesticide-exposed birds, urban pond invertebrates, and radioactive zone amphibians.
- Emphasis on distinguishing natural vs. anthropogenic disturbances and considering species biology.
Main Results:
- Wildlife exhibits diverse physiological and ecological responses to extreme factors.
- Case studies demonstrate adaptation complexity across various extreme scenarios.
- Significant knowledge gaps exist regarding long-term effects and mechanistic bases of these responses.
Conclusions:
- Future research needs long-term approaches using validated physiological markers.
- Integrating physiological data with models like Species Distribution Models (SDMs) can predict impacts.
- Holistic physiological approaches enhance understanding of resilience and improve conservation management.
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