Synthesizing ecological experiments and observational data with hierarchical Bayes

Abstract

Abstract Ecological field experiments rarely unfold as planned. The design and scale of observations can change due to unforeseeable changes in the environment and the emergence of new information. The subjects themselves can change in ways that make the original design untenable. Traditional models have limited flexibility to accommodate such complications, and they are not of much use for assimilation of information that comes from different sources.