Detecting temporal change in freshwater fisheries surveys: statistical power and the important linkages between management questions and monitoring objectives

Fisheries
By: , and 

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Abstract

Monitoring to detect temporal trends in biological and habitat indices is a critical component of fisheries management. Thus, it is important that management objectives are linked to monitoring objectives. This linkage requires a definition of what constitutes a management-relevant “temporal trend.” It is also important to develop expectations for the amount of time required to detect a trend (i.e., statistical power) and for choosing an appropriate statistical model for analysis. We provide an overview of temporal trends commonly encountered in fisheries management, review published studies that evaluated statistical power of long-term trend detection, and illustrate dynamic linear models in a Bayesian context, as an additional analytical approach focused on shorter term change. We show that monitoring programs generally have low statistical power for detecting linear temporal trends and argue that often management should be focused on different definitions of trends, some of which can be better addressed by alternative analytical approaches.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Detecting temporal change in freshwater fisheries surveys: statistical power and the important linkages between management questions and monitoring objectives
Series title Fisheries
DOI 10.1080/03632415.2013.799466
Volume 38
Issue 7
Year Published 2016
Language English
Publisher Taylor & Francis
Contributing office(s) Coop Res Unit Leetown
Description 11 p.
First page 309
Last page 319
Online Only (Y/N) N
Additional Online Files (Y/N) N