Estimating disperser abundance using open population models that incorporate data from continuous detection PIT arrays
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Abstract
Autonomous passive integrated transponder (PIT) tag antenna systems continuously detect individually marked organisms at one or more fixed points over long time periods. Estimating abundance using data from autonomous antennae can be challenging, because these systems do not detect unmarked individuals. Here we pair PIT antennae data from a tributary with mark-recapture sampling data in a mainstem river to estimate the number of fish moving from the mainstem to the tributary. We then use our model to estimate abundance of non-native rainbow trout Oncorhynchus mykiss that move from the Colorado River to the Little Colorado River (LCR), the latter of which is important spawning and rearing habitat for federally-endangered humpback chub Gila cypha. We estimate 226 rainbow trout (95% CI: 127-370) entered the LCR from October 2013-April 2014. We discuss the challenges of incorporating detections from autonomous PIT antenna systems into mark-recapture population models, particularly in regards to using information about spatial location to estimate movement and detection probabilities.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Estimating disperser abundance using open population models that incorporate data from continuous detection PIT arrays |
| Series title | Canadian Journal of Fisheries and Aquatic Sciences |
| DOI | 10.1139/cjfas-2017-0304 |
| Volume | 75 |
| Issue | 9 |
| Year Published | 2018 |
| Language | English |
| Publisher | Canadian Science Publishing |
| Contributing office(s) | Southwest Biological Science Center |
| Description | 12 p. |
| First page | 1393 |
| Last page | 1404 |
| Country | United States |
| Other Geospatial | Colorado River |
| Google Analytic Metrics | Metrics page |