A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays
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Abstract
We developed a spatial capture–recapture model to evaluate survival and activity centres (i.e., mean locations) of tagged individuals detected along a linear array. Our spatially explicit version of the Cormack–Jolly–Seber model, analyzed using a Bayesian framework, correlates movement between periods and can incorporate environmental or other covariates. We demonstrate the model using 2010 data for anadromous American shad (Alosa sapidissima) tagged with passive integrated transponders (PIT) at a weir near the mouth of a North Carolina river and passively monitored with an upstream array of PIT antennas. The river channel constrained migrations, resulting in linear, one-dimensional encounter histories that included both weir captures and antenna detections. Individual activity centres in a given time period were a function of the individual’s previous estimated location and the river conditions (i.e., gage height). Model results indicate high within-river spawning mortality (mean weekly survival = 0.80) and more extensive movements during elevated river conditions. This model is applicable for any linear array (e.g., rivers, shorelines, and corridors), opening new opportunities to study demographic parameters, movement or migration, and habitat use.
Study Area
Publication type | Article |
---|---|
Publication Subtype | Journal Article |
Title | A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays |
Series title | Canadian Journal of Fisheries and Aquatic Sciences |
DOI | 10.1139/cjfas-2013-0198 |
Volume | 71 |
Issue | 1 |
Year Published | 2013 |
Language | English |
Publisher | NRC Research Press |
Contributing office(s) | Coop Res Unit Atlanta |
Description | 11 p. |
First page | 120 |
Last page | 130 |
Country | United States |
State | North Carolina |
Other Geospatial | Little River |
Online Only (Y/N) | N |
Additional Online Files (Y/N) | N |
Google Analytic Metrics | Metrics page |