Summary1. Natural resource agencies often rely on surveys of animal sign (e.g. scat, scent marks, tracks) for population assessment, with repeat surveys required to model and account for uncertain detection. Using river otter Lontra canadensis snow-track survey data as a motivating example, we develop a 3-level occupancy model with parameters that describe (i) site-level occupancy probabilities, (ii) otter movement (and thus, track availability) and (iii) recorded presence-absence of tracks (conditional on the availability of tracks for detection). 2. We incorporated several recent developments in occupancy modelling, including the presence of both false negatives and false positives, spatial and temporal correlation and repeated sampling across distinct observers. 3. We investigated optimal allocation of sampling effort (e.g. within and among snowfall events) using simulations. We also compared models that allowed site-level occupancy and track-laying processes to be spatially correlated with models that assumed independence among sites. 4. Both types of models (independence and spatial) performed well across a range of simulated parameter values, but the spatial model resulted in more accurate point estimates for detection parameters and credibility intervals with better coverage rates when data were spatially correlated. When applied to real data, the spatial model resulted in a higher estimate of the occupancy rate ðŴÞ than the baseline model (0AE82 vs. 0AE59). A minimum of 15-20 helicopter flights, distributed among at least three unique snow events, were needed to meet precision goals (standard errorŴ < 0Á05). 5. Synthesis and applications. We describe a flexible and robust occupancy modelling framework that accounts for heterogeneous detection rates in surveys of animal sign. The method allows for spatially correlated sites and should have broad relevance to surveys conducted by many natural resource agencies.

The general knowledge and skills of staff working with people with learning disabilities have been of interest for a number of years, and Valuing People (DH, 2001) highlighted them as a significant issue. Research has shown that there are further deficits in the knowledge and skills of staff concerning the mental health of people with learning disabilities. This paper gives a general overview of some of the factors involved in the training and knowledge of learning disabilities staff relating to mental health. Early indications from research have shown that training may be effective as a way of addressing these problems, but further research and clear guidance on best practice in implementing staff training are needed in this important area.

This paper explores some of the issues and barriers to service user involvement for people with learning disability in mental health settings. In particular the paper focuses on barriers to involvement including staff attitudes and the involvement of service users in their own assessment and treatment. The issue of getting people involved in their own care is addressed and is highlighted using examples of good practice.

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