Wanted dead or alive: A state-space mark-recapture-recovery model incorporating multiple recovery types and state uncertainty
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
Abstract
We developed a state-space mark-recapture-recovery model that incorporates multiple recovery types and state uncertainty to estimate survival of an anadromous fish species. We apply the model to a dataset of out-migrating juvenile steelhead trout (Oncorhynchus mykiss) tagged with passive integrated transponders, recaptured during outmigration, and recovered on bird colonies in the Columbia River basin (2008-2014). Recoveries on bird colonies are often ignored in survival studies because the river reach of mortality is often unknown, which we model as a form of state uncertainty. Median outmigration survival from release to the lower river (river kilometer 729 to 75) ranged from 0.27 to 0.35, depending on year. Recovery probabilities were frequently >0.20 in the first river reach following tagging, indicating that one out of five fish that died in that reach was recovered on a bird colony. Integrating dead recovery data provided increased parameter precision, estimation of where birds consumed fish, and survival estimates across larger spatial scales. More generally, these modeling approaches provide a flexible framework to integrate multiple sources of tag recovery data into mark-recapture studies.
Study Area
Publication type | Article |
---|---|
Publication Subtype | Journal Article |
Title | Wanted dead or alive: A state-space mark-recapture-recovery model incorporating multiple recovery types and state uncertainty |
Series title | Canadian Journal of Fisheries and Aquatic Sciences |
DOI | 10.1139/cjfas-2016-0246 |
Volume | 75 |
Issue | 7 |
Year Published | 2018 |
Language | English |
Publisher | NRC Research Press |
Contributing office(s) | Coop Res Unit Seattle |
Description | 11 p. |
First page | 1117 |
Last page | 1127 |
Country | United States |
State | Oregon, Washington |
Other Geospatial | Columbia River |
Google Analytic Metrics | Metrics page |