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Environmental refuges from disease in host-parasite interactions under global change.
Alena S Gsell1,2, Arjen Biere3, Wietse de Boer4,5
1Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.
Environmental conditions can create disease refuges, protecting hosts from parasites. Global change may alter these refuges, impacting host-parasite dynamics and disease spread.
Area of Science:
- Ecology
- Parasitology
- Environmental Science
Background:
- Organismal physiology is influenced by environmental context, leading to performance-response curves along gradients.
- Parasites typically adapt faster than hosts due to shorter generation times, but environmental factors can limit parasite performance.
- Thermal disease refuges are known, but other environmental factors like salinity and nutrients may also offer protection.
Purpose of the Study:
- To explore laboratory and natural examples of environmental disease refuges.
- To hypothesize how global environmental change might impact these refuges.
- To synthesize knowledge on environmental disease refuges across various gradients and systems.
Main Methods:
- Reviewing laboratory and field-based examples of host-parasite interactions along environmental gradients.
- Analyzing host and parasite performance-response curves under different environmental conditions.
- Developing hypotheses regarding the influence of global environmental change on disease refuges.
Main Results:
- Environmental conditions can create refuges where parasite performance is limited more than host performance.
- Examples of disease refuges exist along gradients of temperature, salinity, and nutrient levels.
- Global environmental change has the potential to alter the extent and effectiveness of these refuges.
Conclusions:
- Environmental disease refuges are crucial for understanding host-parasite dynamics.
- Global environmental change necessitates further research into how these refuges will be affected.
- Integrating host and parasite responses is key to predicting disease outcomes under future conditions.
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