Obtaining accurate estimates of animal population size (abundance) is increasingly important in areas such as conservation and wildlife management. The univariate N-Mixture model (Royle, 2004) was developed with the aim of estimating animal abundance from simple count data, which is prone to imperfect detection. In this presentation, Niamh will examine this existing methodology, and how the univariate N-Mixture Model can be extended in order to model populations of multiple species simultaneously, and to determine the relationships between those species. Niamh will finish by looking at the modelling she has been doing to quantify uncertainty associated with these estimates.

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