Integrating spatial capture-recapture and telemetry data to estimate abundance and movement of marine mammals

The files in this folder demonstrate how spatial capture–recapture (SCR) methods can be adapted to model movement and space use in aquatic systems. Appenidx_1A_MvmtAssistedLocalization.R simulates and analyzes acoustic telemetry data in an SCR framework. sim_SCR_mvmt.R simulates and models an integr...

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Bibliographic Details
Main Authors: Sarah Converse, Nathan Hostetter, Eric Regehr
Format: Dataset
Language:unknown
Published: Research Workspace 2021
Subjects:
Online Access:https://search.dataone.org/view/10.24431_rw1k6cv_20221208T005827Z
Description
Summary:The files in this folder demonstrate how spatial capture–recapture (SCR) methods can be adapted to model movement and space use in aquatic systems. Appenidx_1A_MvmtAssistedLocalization.R simulates and analyzes acoustic telemetry data in an SCR framework. sim_SCR_mvmt.R simulates and models an integrated SCR–movement model that jointly quantifies abundance, distribution, and movement of individuals using capture-recapture and telemetry data motivated by polar bear studies in the eastern Chukchi Sea. Finally, three files are used to simulate and model an age-structured capture-recapture model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics including abundance, age-dependent survival, recruitment, age structure, and population growth rates. The motivating polar bear data from the western Hudson Bay are included in SupplementS3_CaseStudyData.txt.