Poster Presentation Australian Marine Sciences Association Annual Meeting 2023

Citizen science photographs improve the accuracy of morphometric models for threatened sawfishes (#403)

Veronika N Biskis 1 2 , Kathy A Townsend 2 , David Morgan 3 , Karissa Lear 3 , Bonnie J Holmes 4 , Barbara E Wueringer 1
  1. Sharks And Rays Australia, Cairns, QLD, Australia
  2. Science Technology and Engineering, University of the Sunshine Coast, Hervey Bay, QLD, Australia
  3. Freshwater Fish Group & Fish Health Unit, Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Murdoch, WA, Australia
  4. Science Technology and Engineering, University of the Sunshine Coast, Sippy Downs, Queensland, Australia

As is the case with many species suffering from a long history of both targeted overfishing and high incidence of bycatch, catch records of sawfishes (Family Pristidae) are patchy. Commercial reports are limited in known total lengths and species identification, and impacts and extent of trophy keeping on the breeding population is unexplored. This poses challenges in assessing both historic and current distributions, critical information for species management. Previous publications reported morphometric models and/or ratios to extrapolate sawfish total lengths from trophy rostra, offering the ability to access species and size class information based on a single body part. However, as sexually mature adults are rare, these models are largely represented by immature animals and have never been compared in their accuracy. In our study, residuals from each published model are compared using data collected from citizen science photographs, including sexually mature adults, from the Sharks And Rays Australia database. We determined which models are most appropriate for each species across all size classes and highlighted the danger of applying unsuitable models in determining the maturity of a population. Further, this study emphasizes morphometrics as a solution to access a powerful dataset in approaching size-specific analyses for future ecological studies.