Journal article
Continental‐scale acoustic telemetry and network analysis reveal new insights into stock structure
Fish and Fisheries, Vol.22(5), pp.987-1005
09/2021
Metrics
27 Record Views
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Abstract
Delineation of population structure (i.e. stocks) is crucial to successfully manage exploited species and to address conservation concerns for threatened species. Fish migration and associated movements are key mechanisms through which discrete populations mix and are thus important determinants of population structure. Detailed information on fish migration and movements is becoming more accessible through advances in telemetry and analysis methods however such information is not yet used systematically in stock structure assessment. Here, we described how detections of acoustically tagged fish across a continental-scale array of underwater acoustic receivers were used to assess stock structure and connectivity in seven teleost and seven shark species and compared to findings from genetic and conventional tagging. Network analysis revealed previously unknown population connections in some species, and in others bolstered support for existing stock discrimination by identifying nodes and routes important for connectivity. Species with less variability in their movements required smaller sample sizes (45–50 individuals) to reveal useful stock structure information. Our study shows the power of continental-scale acoustic telemetry networks to detect movements among fishery jurisdictions. We highlight methodological issues that need to be considered in the design of acoustic telemetry studies for investigating stock structure and the interpretation of the resulting data. The advent of broad-scale acoustic telemetry networks across the globe provides new avenues to understand how movement informs population structure and can lead to improved management.
Details
- Title
- Continental‐scale acoustic telemetry and network analysis reveal new insights into stock structure
- Creators
- Elodie J. I Lédée - Carleton UniversityMichelle R Heupel - Australian Institute of Marine ScienceMatthew D Taylor - New South Wales Department of Primary Industries (Taylors Beach)Robert G Harcourt - Sydney Institute of Marine ScienceFabrice R. A Jaine - Sydney Institute of Marine ScienceCharlie Huveneers - Flinders UniversityVinay Udyawer - Australian Institute of Marine ScienceHamish A Campbell - Charles Darwin UniversityRussell C Babcock - CSIRO Oceans and AtmosphereXavier Hoenner - CSIRO Oceans and AtmosphereAdam Barnett - James Cook UniversityMatias Braccini - Department of Primary Industries and Regional DevelopmentStephanie Brodie - University of California, Santa CruzPaul A Butcher - New South Wales Department of Primary Industries (Coffs Harbour)Gwenael Cadiou - New South Wales Department of Primary Industries (Taylors Beach)Ross G Dwyer - University of the Sunshine CoastMario Espinoza - Universidad de Costa RicaLuciana C Ferreira - Australian Institute of Marine ScienceLachlan Fetterplace - Swedish University of Agricultural SciencesAnthony Fowler - South Australian Research and Development InstituteAlastair R Harborne - Florida International UniversityNathan A Knott - Port Stephens Fisheries InstituteMichael Lowry - Port Stephens Fisheries InstituteJaime McAllister - University of TasmaniaRory McAuley - Minderoo Foundation Broadway Nedlands WA AustraliaMark Meekan - Australian Institute of Marine ScienceKade Mills - Victorian National Parks Association Carlton VIC AustraliaVictor M Peddemors - NSW Department of Primary IndustriesRichard Pillans - CSIRO Oceans and AtmosphereJayson Semmens - University of TasmaniaAmy F Smoothey - NSW Department of Primary IndustriesConrad Speed - Australian Institute of Marine ScienceKilian Stehfest - David Suzuki Foundation Vancouver BC CanadaDylan van der Meulen - NSW Department of Primary IndustriesColin A Simpfendorfer - James Cook University
- Publication Details
- Fish and Fisheries, Vol.22(5), pp.987-1005
- Publisher
- Wiley-Blackwell Publishing Ltd.
- Grant note
- Integrated Marine Observing System Fisheries Research and Development Corporation. Grant Number: #2018-091
- Identifiers
- 991012948583802368
- Copyright
- © 2021 John Wiley & Sons Ltd
- Academic Unit
- National Marine Science Centre; Faculty of Science and Engineering; Science
- Language
- English
- Resource Type
- Journal article