State-space models to infer movements and behavior of fish detected in a spatial array of acoustic receivers
We developed state-space models for inferring movements and behaviors of fish implanted with acoustic transmitters and detected within a spatial array of stationary acoustic receivers. In these models fish movements and behavior switching are specified using a hidden Markov model of the changes in an individual's latent activity center. The observed number of detections at each acoustic receiver is modeled as a function of the distance between the receiver and a fish's activity center. To illustrate these models, we analyzed the detections of individual Gulf sturgeon that moved within a spatial array of acoustic receivers placed in the Suwannee River, Florida. Our models of these detections provided estimates of the locations of individual sturgeon and the periods when individuals switched between spawning and resting behaviors. We anticipate that these models will be used to analyze acoustic surveys of other species and to help design new surveys.
Citation Information
| Publication Year | 2019 |
|---|---|
| Title | State-space models to infer movements and behavior of fish detected in a spatial array of acoustic receivers |
| DOI | 10.1139/cjfas-2018-0067 |
| Authors | Melissa E. Price, Robert Dorazio |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Canadian Journal of Fisheries and Aquatic Sciences |
| Index ID | 70198795 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Wetland and Aquatic Research Center |
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Suwannee River Gulf sturgeon acoustic telemetry data (2014) used in state-space model
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Suwannee River Gulf sturgeon acoustic telemetry data (2014) used in state-space model
Detection data for Gulf sturgeon in the Suwannee River using a series of passive acoustic receivers. Data set includes receiver locations (river kilometer), detections, time periods, and individual transmitter ID. - Connect