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Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
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Related Experiment Video

Updated: Apr 14, 2026

Author Spotlight: Coproparasitoscopic Examination of Dog Stools for Control and Prevention of Zoonotic Parasite Diseases
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Climate change and Arctic parasites.

Andy Dobson1, Péter K Molnár2, Susan Kutz3

  • 1Department of Ecology and Evolutionary Biology, Princeton University, Eno Hall, Princeton, NJ 08544, USA.

Trends in Parasitology
|April 23, 2015
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Summary

Climate change impacts Arctic wildlife parasites, affecting caribou and reindeer health. Predictive models using metabolic theory offer new insights for conservation strategies to protect Arctic ecosystems and indigenous communities.

Keywords:
Arcticcaribouclimatemetabolic theorymuskoxenparasitic helminths

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Area of Science:

  • Ecology
  • Climate Change Research
  • Parasitology

Background:

  • Arctic ecosystems are rapidly changing due to climate change.
  • These changes significantly impact wildlife health, particularly ungulates like caribou and reindeer.
  • The welfare of Arctic peoples, reliant on these animals, is consequently affected.

Purpose of the Study:

  • To review recent advancements in predictive modeling for climate change impacts on Arctic wildlife parasites.
  • To explore the potential of these models for proactive mitigation and conservation strategies.
  • To introduce models based on the metabolic theory of ecology for host-parasite systems.

Main Methods:

  • Review of recent scientific literature on climate change and Arctic wildlife parasites.
  • Description of predictive models developed using the metabolic theory of ecology.
  • Parameterization of models using basic parasite physical size data.

Main Results:

  • Initial results from metabolic theory models offer novel insights into host-parasite dynamics.
  • The models demonstrate a capacity to generalize across various host-parasite systems.
  • Ease of parameterization using parasite size is a key strength.

Conclusions:

  • Predictive models are crucial for understanding and managing climate change effects on Arctic wildlife parasites.
  • The metabolic theory of ecology provides a robust framework for developing these models.
  • These modeling approaches hold promise for safeguarding Arctic wildlife and the communities dependent on them.