The confined environment of the dog shelter, particularly over extensive time-periods can impact severely on welfare. Surveillance and assessment are therefore essential components of the welfare protocol. The aim of this study was to generate a descriptive analysis of a sample of Italian long-term shelters and identify potential hazards regarding the welfare of shelter dogs. This was achieved through application of the Shelter Quality Protocol (SQP) to link income/outcome variables and the inclusion of sixty-four long-term shelters in Italy. Descriptive and logistic regression analyses were conducted. Key findings showed feeding regime, type of diet and access to outdoor area to be significantly associated with inadequate body condition score (BCS). The probability of observing skin lesions was shown to be influenced by bedding inadequacy and bedding type. Limiting beds to one per dog and utilising clean bedding materials was significantly associated with a reduced probability of observing dirty/wet dogs. Protection from adverse weather conditions and inadequate bedding were significantly associated with the manifestation of polypnea. Non-existent dog training facilities, outdoor access or leash walking were all found to significantly increase the likelihood of fearful or aggressive attitudes to people. Outdoor access also, in conjunction with feeding regime, was associated with the presence of diarrhoea. The SQP proved useful in identifying welfare hazards, both as regards shelter environment and shelter management. Identification of these hazards creates the opportunity for interventions to be applied, minimising the risks and improving the welfare of long-term shelter dogs.

This paper is the third in a series designed to demonstrate the application of rigorous, systematic hazard identification techniques to ecological systems. Here we use Hierarchical Holographic Modelling to identify the potential ecological hazards associated with the commercial release of herbicide tolerant oilseed rape. Hierarchical Holographic Models decompose complex systems into a series of sub-systems and consider interactions between the components and processes of these sub-systems in order to identify hazards. In this example we considered 1356 potential interactions between the biological, chemical and physical components and processes of the herbicide tolerant oilseed rape environment, and identified 152 potential hazards, grouped into 14 categories. The hazards were subsequently scored for degree of concern and plausibility, and then compared with an equivalent list of hazards generated independently by a checklist approach. The incidence of herbicide tolerant volunteers (and weeds) both on and off the farm had the highest average score of all the ecological hazard categories. The checklist based approach identified or implied 44% of the hazards identified in the Hierarchical Holographic Model, including nine of the ten hazards ranked most important. The checklist approach focussed almost exclusively on the phenotypic and genotypic hazards associated with herbicide tolerant oilseed rape and largely ignored the hazards associated with the circumstances surrounding its use. As a result the checklist identified only 6 out of the 79 potential hazards associated with changes to farming practice. The commercial release of herbicide tolerant oilseed rape will be associated with changes in tillage and the application of post-emergent herbicides. It may also lead to changes in spray schedules of insecticide and fungicide. Many of the environmental hazards identified with these changes are plausible and may warrant further investigation or targeted monitoring.