Can We Move Beyond Simply Saying an Animal “Looks Fine”?

Can we move beyond simply saying an animal “looks fine”?

Animal welfare can be difficult to assess through perception alone.

A dog may appear healthy. A group of cats may seem well cared for. A tourism destination may appear to have a positive relationship with the animals living there.

But perception alone does not tell us everything.

For CANDi, this raises an important question: how can we better understand the welfare of free-roaming and stray cats and dogs living within tourism destinations?

One useful starting point is the Five Domains Model of Animal Welfare, which considers:

NUTRITION

How do these animals access food and water, and are current practices supporting their wellbeing?

ENVIRONMENT

What environmental conditions, hazards and safe spaces affect them?

HEALTH

What happens when an animal is sick or injured? Is veterinary care available? Are sterilization, vaccination and other preventative services accessible? Is humane population management available?

BEHAVIOURAL INTERACTIONS

How do they interact with residents, visitors and the tourism environment? Are those interactions positive, neutral or creating stress or conflict?

MENTAL STATE

Based on the combined conditions, what can we reasonably understand about the experiences affecting their wellbeing?

The Five Domains Model provides an established framework for considering animal welfare.

Applying these principles to free-roaming and stray cats and dogs across an entire tourism destination is more complex and requires careful adaptation.

But it gives us an important starting point.

Instead of relying only on:

“The animals seem fine.”

We can begin asking:

What are the actual conditions affecting their wellbeing?

At CANDi, we are exploring how established animal welfare principles can help inform a practical approach to understanding the conditions affecting free-roaming and stray cats and dogs within tourism destinations.

Because understanding the starting point is essential to identifying meaningful opportunities for improvement.

Understanding. Measuring. Improving.