A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays

Canadian Journal of Fisheries and Aquatic Sciences
By: , and 

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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.

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Additional publication details

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