Detecting Unusual Temporal Patterns in Fisheries Time Series Data

TitleDetecting Unusual Temporal Patterns in Fisheries Time Series Data
Publication TypeJournal Article
Year of Publication2016
AuthorsWagner, Tyler, Midway Stephen R., Vidal Tiffany, Irwin Brian J., and Jackson James R.
JournalTransactions of the American Fisheries Society
Volume145
Issue4
Pagination786 - 794
Date PublishedMar-07-2016
ISSN0002-8487
KeywordsBayesian model, ecosystem dynamics, fisheries, temporal dynamics, temporal patterns
Abstract

Long-term sampling of fisheries data is an important source of information for making inferences about the temporal dynamics of populations that support ecologically and economically important fisheries. For example, time series of catch-per-effort data are often examined for the presence of long-term trends. However, it is also of interest to know whether certain sampled locations are exhibiting temporal patterns that deviate from the overall pattern exhibited across all sampled locations. Patterns at these “unusual” sites may be the result of site-specific abiotic (e.g., habitat) or biotic (e.g., the presence of an invasive species) factors that cause these sites to respond differently to natural or anthropogenic drivers of population dynamics or to management actions. We present a Bayesian model selection approach that allows for detection of unique sites—locations that display temporal patterns with documentable inconsistencies relative to the overall global average temporal pattern. We applied this modeling approach to long-term gill-net data collected from a fixed-site, standardized sampling program for Yellow Perch Perca flavescensin Oneida Lake, New York, but the approach is also relevant to shorter time series data. We used this approach to identify six sites with distinct temporal patterns that differed from the lakewide trend, and we describe the magnitude of the difference between these patterns and the lakewide average trend. Detection of unique sites may be informative for management decisions related to prioritizing rehabilitation or restoration efforts, stocking, or determining fishable areas and for further understanding changes in ecosystem dynamics.

URLhttp://www.tandfonline.com/doi/full/10.1080/00028487.2016.1150879
DOI10.1080/00028487.2016.1150879
Short TitleTransactions of the American Fisheries Society