Abstract
Climate change is a driving force for livestock parasite risk. This is especially
true for helminths including the nematodes Haemonchus contortus, Teladorsagia
circumcincta, Nematodirus battus, and the trematode Fasciola hepatica, since survival and
development of free-living stages is chiefly affected by temperature and moisture. The
paucity of long term predictions of helminth risk under climate change has driven us to
explore optimal modelling approaches and identify current bottlenecks to generating
meaningful predictions. We classify approaches as correlative or mechanistic, exploring
their strengths and limitations. Climate is one aspect of a complex system and, at the
farm level, husbandry has a dominant influence on helminth transmission. Continuing environmental change will necessitate the adoption of mitigation and adaptation strategies
in husbandry. Long term predictive models need to have the architecture to incorporate
these changes. Ultimately, an optimal modelling approach is likely to combine mechanistic
processes and physiological thresholds with correlative bioclimatic modelling,
incorporating changes in livestock husbandry and disease control. Irrespective of approach,
the principal limitation to parasite predictions is the availability of active surveillance data
and empirical data on physiological responses to climate variables. By combining
improved empirical data and refined models with a broad view of the livestock system,
robust projections of helminth risk can be developed.
Original language | English |
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Pages (from-to) | 93 - 107 |
Number of pages | 15 |
Journal | Animals |
Volume | 2 |
Publication status | First published - 2012 |
Bibliographical note
1023328Keywords
- Climate change
- Helminths
- Prediction