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Detecting Unusual Temporal Patterns in Fisheries Time Series Data

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Tyler Wagner, Stephen R. Midway, Tiffany Vidal, Brian J. Irwin, and James R. Jackson, Detecting Unusual Temporal Patterns in Fisheries Time Series Data: Transactions of the American Fisheries Society.

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Abstract (from http://www.tandfonline.com/doi/full/10.1080/00028487.2016.1150879): 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 [...]

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  • National and Regional Climate Adaptation Science Centers
  • Northeast CASC

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Wildlife and Plants
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journalTransactions of the American Fisheries Society
parts
typedoi
value10.1080/00028487.2016.1150879

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