University of Tasmania
Browse

File(s) under permanent embargo

Designing satellite tagging studies: estimating and optimizing data recovery

journal contribution
posted on 2023-05-17, 08:19 authored by Patterson, TA, Klaas HartmannKlaas Hartmann
Satellite telemetry is used routinely to collect and transmit movement, behaviour and environmental data from free-ranging animals. Satellite tags (hereafter SATs) are essential for collecting in situ data from animals where manual retrieval of a data logger is impossible. The collected data is fundamental for scientific and many management applications. However, the amount of data a SAT can transmit is limited by its battery life, transmission opportunities, bandwidth and satellite coverage. When designing a SAT study, these factors should be taken into account to ensure that limited transmissions are utilized as effectively as possible. In this paper we present a theoretical discussion of the factors that influence the data transmission and present tools for designing effective SAT studies. We calculate the optimal sampling period for the tag given its expected lifetime and regional variation in satellite coverage. Taking these factors into account allows prediction of the expected number of tags required to meet targets for a deployment. These methods are applied to a case study of a highly migratory pelagic fish tagged with popup archival satellite tags (PSATs). Our findings will be useful for SAT study design in general and demonstrate an approach which can reduce the ad hoc nature of SAT deployments.

History

Publication title

Fisheries Oceanography

Volume

20

Issue

6

Pagination

449-461

ISSN

1054-6006

Department/School

Institute for Marine and Antarctic Studies

Publisher

Blackwell Publishing Ltd

Place of publication

9600 Garsington Rd, Oxford, England, Oxon, Ox4 2Dg

Rights statement

The definitive published version is available online at: http://www3.interscience.wiley.com/

Repository Status

  • Restricted

Socio-economic Objectives

Fisheries - wild caught not elsewhere classified

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC