Stephen R. Baillie

Learn More
If censuses are taken at less than generation intervals, the number of successive censuses in which a given individual is recorded will depend on longevity. Repeatedly recording the same individuals could produce under-estimates of population variability and influence detection of density dependence. We investigated this possibility in 60 time series of(More)
Survival and population growth rates in several species of Afro-Palaearctic migrant have been shown to correlate with rainfall regimes and/or vegetation level on their African wintering grounds, implying that seasonal food resources may contribute to population limitation. Here we explore the generality of this relationship across 16 migrant species(More)
Migration is a fundamental stage in the life history of several taxa, including birds, and is under strong selective pressure. At present, the only data that may allow for both an assessment of patterns of bird migration and for retrospective analyses of changes in migration timing are the databases of ring recoveries. We used ring recoveries of the Barn(More)
We question why density dependence has remained elusive in series of annual abundances of British birds. In particular, an earlier study reported that significant temporal trends in abundances occur in up to 74% of time series from the Common Birds Census. Several studies showed that such trends can hinder detection of density dependence. Temporal trends do(More)
We consider quantification of biodiversity in the context of targets set by the Convention on Biological Diversity. Implicit in such targets is a requirement to monitor biodiversity at a regional level. Few monitoring schemes are designed with these targets in mind. Monitored sites are typically not selected to be representative of a wider region, and(More)
Understanding the demographic processes driving populations is critical in formulating effective management plans. State–space models offer an appealing framework in which to construct models to examine temporal and spatial variation in population dynamics, as they make efficient use of the varied sources of data available. We develop a Bayesian state–space(More)
  • 1