Next Article in Journal / Special Issue
Carbon Footprints for Food of Animal Origin: What are the Most Preferable Criteria to Measure Animal Yields?
Previous Article in Journal
Bias During the Evaluation of Animal Studies?
Previous Article in Special Issue
Greenhouse Gas Emissions from Three Cage Layer Housing Systems
Open AccessReview

Livestock Helminths in a Changing Climate: Approaches and Restrictions to Meaningful Predictions

SAC, West Mains Road, Edinburgh, EH9 3JG, UK
Environment Department, University of York, Heslington, York, YO10 5DD, UK
Biomathematics and Statistics Scotland, Kings Buildings, Edinburgh, EH9 3JZ, UK
Author to whom correspondence should be addressed.
Animals 2012, 2(1), 93-107;
Received: 31 January 2012 / Revised: 27 February 2012 / Accepted: 2 March 2012 / Published: 6 March 2012
(This article belongs to the Special Issue Climate Change and Livestock Management)
Parasitic helminths represent one of the most pervasive challenges to livestock, and their intensity and distribution will be influenced by climate change. There is a need for long-term predictions to identify potential risks and highlight opportunities for control. We explore the approaches to modelling future helminth risk to livestock under climate change. One of the limitations to model creation is the lack of purpose driven data collection. We also conclude that models need to include a broad view of the livestock system to generate meaningful predictions.
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. View Full-Text
Keywords: climate change; prediction; risk; livestock; parasites; helminths; disease; modelling climate change; prediction; risk; livestock; parasites; helminths; disease; modelling
MDPI and ACS Style

Fox, N.J.; Marion, G.; Davidson, R.S.; White, P.C.L.; Hutchings, M.R. Livestock Helminths in a Changing Climate: Approaches and Restrictions to Meaningful Predictions. Animals 2012, 2, 93-107.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Search more from Scilit
Back to TopTop