Post-development Auditing of EIA Predictive Techniques: A Spatial Analytical Approach

Despite widespread recognition that post-development auditing has the potential to provide feedback which could improve future Environmental Impact Assessment (EIA), there remains a paucity of research which relates specifically to the evaluation of EIA predictive techniques, with even less progress in the development of audit methodologies. This paper describes a spatial analytical approach to post-development auditing that focuses upon the identification and analysis of the residual errors between the impacts predicted at a site using a particular predictive method and the actual impacts found to occur through monitoring. For three case studies, relevant impact predictions are tested (to determine the residual errors) and statistical models of the errors are developed in order to explore factors which may explain the performance of the predictive technique. The paper then considers the broader lessons and limitations that can be drawn out from the research both for auditing and EIA practice, including feedback on predictive techniques, the potential role of scoping decisions in generating errors in impact prediction, and the implications of uncertainty over future baseline conditions for auditing and impact prediction/interpretation.