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      Environmental conditions are poor predictors of immature white shark Carcharodon carcharias occurrences on coastal beaches of eastern Australia

      1 , 2 , 1 , 3 , 4 , 2 , 3
      Marine Ecology Progress Series
      Inter-Research Science Center

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          Abstract

          Understanding and predicting the distribution of organisms in heterogeneous environments is a fundamental ecological question and a requirement for sound management. To implement effective conservation strategies for white shark Carcharodon carcharias populations, it is imperative to define drivers of their movement and occurrence patterns and to protect critical habitats. Here, we acoustically tagged 444 immature white sharks and monitored their presence in relation to environmental factors over a 3 yr period (2016-2019) using an array of 21 iridium satellite-linked (VR4G) receivers spread along the coast of New South Wales, Australia. Results of generalized additive models showed that all tested predictors (month, time of day, water temperature, tidal height, swell height, lunar phase) had a significant effect on shark occurrence. However, collectively, these predictors only explained 1.8% of deviance, suggesting that statistical significance may be rooted in the large sample size rather than biological importance. On the other hand, receiver location, which captures geographic fidelity and local conditions not captured by the aforementioned environmental variables, explained a sizeable 17.3% of deviance. Sharks tracked in this study hence appear to be tolerant to episodic changes in environmental conditions, and movement patterns are likely related to currently undetermined, location-specific habitat characteristics or biological components, such as local currents, prey availability or competition. Importantly, we show that performance of VR4G receivers can be strongly affected by local environmental conditions, and provide an example of how a lack of range test controls can lead to misinterpretation and erroneous conclusions of acoustic detection data.

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          Author and article information

          Journal
          Marine Ecology Progress Series
          Mar. Ecol. Prog. Ser.
          Inter-Research Science Center
          0171-8630
          1616-1599
          October 29 2020
          October 29 2020
          : 653
          : 167-179
          Affiliations
          [1 ]Evolutionary Ecology Group, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
          [2 ]National Marine Science Centre, Marine Ecology Research Centre, School of Environment, Science and Engineering, Southern Cross University, Coffs Harbour, New South Wales 2450, Australia
          [3 ]Fisheries NSW, NSW Department of Primary Industries, National Marine Science Centre, Coffs Harbour, New South Wales 2450, Australia
          [4 ]Fisheries NSW, NSW Department of Primary Industries, Port Stephens Fisheries Institute, Nelson Bay, New South Wales 2315, Australia
          Article
          10.3354/meps13488
          340c99b1-b1f2-41c4-b06e-40855c7b9c95
          © 2020

          Free to read

          https://creativecommons.org/licenses/by/4.0/

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