Framework for enhancing the statistical design of aquatic environmental studies

Abstract

Aquatic environmental studies can be categorized by the breadth of their scope and the types of desired results. The use of this categorization coupled with a clear specification of objectives and a judicious knowledge of the environmental variability should lead to more statistically efficient studies. This paper discusses the types of lacustrine studies commonly encountered in terms of their categorization. It provides examples of how the intrinsic environmental variability can influence their design and stresses the importance of properly stated objectives, the developing of testable hypotheses, the design of robust and powerful studies, and the importance of evaluating the implication of changes as critical factors for conducting effective and efficient environmental studies.