Model-Based Distance Sampling |
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Authors: | S T Buckland C S Oedekoven D L Borchers |
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Institution: | 1. Centre for Research into Ecological and Environmental Modelling, The Observatory, Buchanan Gardens,University of St?Andrews,St?Andrews,Scotland, UK |
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Abstract: | Conventional distance sampling adopts a mixed approach, using model-based methods for the detection process, and design-based methods to estimate animal abundance in the study region, given estimated probabilities of detection. In recent years, there has been increasing interest in fully model-based methods. Model-based methods are less robust for estimating animal abundance than conventional methods, but offer several advantages: they allow the analyst to explore how animal density varies by habitat or topography; abundance can be estimated for any sub-region of interest; they provide tools for analysing data from designed distance sampling experiments, to assess treatment effects. We develop a common framework for model-based distance sampling, and show how the various model-based methods that have been proposed fit within this framework. |
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