A standardised equine-based welfare assessment tool used for six years in low and middle income countries.

The majority of horses, donkeys and mules (equids) are in low- and middle-income countries, where they remain a key source of labour in the construction, agriculture and tourism industries, as well as supporting households daily through transporting people and staple goods. Globally, approximately 6...

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Bibliographic Details
Main Authors: Rebecca Sommerville, Ashleigh F Brown, Melissa Upjohn
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5821349?pdf=render
Description
Summary:The majority of horses, donkeys and mules (equids) are in low- and middle-income countries, where they remain a key source of labour in the construction, agriculture and tourism industries, as well as supporting households daily through transporting people and staple goods. Globally, approximately 600 million people depend on working equids for their livelihood. Safeguarding the welfare of these animals is essential for them to work, as well as for the intrinsic value of the animal's quality of life. In order to manage animal welfare, it must be measured. Over the past decade, welfare assessment methodologies have emerged for different species, more recently for equids. We present the Standardised Equine-Based Welfare Assessment Tool (SEBWAT) for working equids. The tool is unique, in that it has been applied in practice by a non-governmental organisation (NGO) for six years across Low-Middle-Income Countries (LMICs). We describe the revision of the tool from an original to a second version, the tool methodology and user training process and how data collection and analysis have been conducted. We describe its application at scale, where it has been used more than 71,000 times in 11 countries. Case study examples are given from the tool being used for a needs assessment in Guatemala and monitoring welfare change in Jordan. We conclude by describing the main benefits and limitations for how the tool could be applied by others on working equids in LMICs and how it may develop in the future.
ISSN:1932-6203