Data

Characterising intertidal ray communities of north-east Australia

James Cook University
Myers, Jaelen ; Barnett, Adam ; Crook, Kevin ; Sheaves, Marcus
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/deyz-hw44&rft.title=Characterising intertidal ray communities of north-east Australia&rft.identifier=10.25903/deyz-hw44&rft.publisher=James Cook University&rft.description=Tidal flat ecosystems worldwide are considered essential habitats for numerous elasmobranch species, yet regional-scale assessments of community composition and habitat use are largely lacking, particularly for batoids (rays). Aerial drone surveys were conducted at eight intertidal flats in North Queensland, Australia to characterise patterns of species occurrence in tropical estuarine (n=2), marine beach (n=3), and offshore reef flat (n=3) environments. Between Sept 2020 - Oct 2022, 155 video surveys were collected across during repeat visits, totalling 2,667 ray observations. For each site, observations were identified to species level, and several commuity composition metrics were calculated, including Machelef’s species richness (d), community evenness (E), and species composition (percentage of total observations pers site). This dataset is one of the first multi-scale observational datasets available that describes ray community structures within the context of coastal intertidal zones around Townsville, North Queensland. Contained in this record is: 1) Excel file containing ray observation details at all sites, including species IDs and coordinates 2) Csv containing a species composition summary used to draw comparisons among sites 3) Excel file containing the calculated relationships between ground sampling distance and drone altitude, used to estimate the spatial coverage of the drone's field of view during aerial transects.&rft.creator=Myers, Jaelen &rft.creator=Barnett, Adam &rft.creator=Crook, Kevin &rft.creator=Sheaves, Marcus &rft.date=2026&rft.coverage=east=146.33914; north=-18.532005; projection=WGS84&rft.coverage=east=146.489232; north=-18.612238; projection=WGS84&rft.coverage=east=146.496378; north=-18.634676; projection=WGS84&rft.coverage=east=146.518758; north=-18.685104; projection=WGS84&rft.coverage=east=147.041791; north=-19.29879; projection=WGS84&rft.coverage=east=147.11878; north=-19.403702; projection=WGS84&rft.coverage=east=146.218286; north=-18.418524; projection=WGS84&rft.coverage=east=147.672225; north=-19.826061; projection=WGS84&rft_rights=&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=intertidal&rft_subject=species composition&rft_subject=drone&rft_subject=north Queensland&rft_subject=batoid&rft_subject=ray&rft_subject=Behavioural ecology&rft_subject=Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Marine and estuarine ecology (incl. marine ichthyology)&rft_subject=Population ecology&rft_subject=Community ecology (excl. invasive species ecology)&rft_subject=Coastal or estuarine biodiversity&rft_subject=Coastal and estuarine systems and management&rft_subject=ENVIRONMENTAL MANAGEMENT&rft.type=dataset&rft.language=English Access the data
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CC BY 4.0: Attribution 4.0 International
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Full description

Tidal flat ecosystems worldwide are considered essential habitats for numerous elasmobranch species, yet regional-scale assessments of community composition and habitat use are largely lacking, particularly for batoids (rays). Aerial drone surveys were conducted at eight intertidal flats in North Queensland, Australia to characterise patterns of species occurrence in tropical estuarine (n=2), marine beach (n=3), and offshore reef flat (n=3) environments. Between Sept 2020 - Oct 2022, 155 video surveys were collected across during repeat visits, totalling 2,667 ray observations. For each site, observations were identified to species level, and several commuity composition metrics were calculated, including Machelef’s species richness (d), community evenness (E), and species composition (percentage of total observations pers site).

This dataset is one of the first multi-scale observational datasets available that describes ray community structures within the context of coastal intertidal zones around Townsville, North Queensland.

Contained in this record is:
1) Excel file containing ray observation details at all sites, including species IDs and coordinates
2) Csv containing a species composition summary used to draw comparisons among sites
3) Excel file containing the calculated relationships between ground sampling distance and drone altitude, used to estimate the spatial coverage of the drone's field of view during aerial transects.

Created: 2026-05-31

Data time period: 09 2020 to 31 10 2022

This dataset is part of a larger collection

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146.33914,-18.53201

146.33914,-18.532005

146.48923,-18.61224

146.489232,-18.612238

146.49638,-18.63468

146.496378,-18.634676

146.51876,-18.6851

146.518758,-18.685104

147.04179,-19.29879

147.041791,-19.29879

147.11878,-19.4037

147.11878,-19.403702

146.21829,-18.41852

146.218286,-18.418524

147.67223,-19.82606

147.672225,-19.826061

dcmiPoint: east=146.33914; north=-18.532005; projection=WGS84

dcmiPoint: east=146.489232; north=-18.612238; projection=WGS84

dcmiPoint: east=146.496378; north=-18.634676; projection=WGS84

dcmiPoint: east=146.518758; north=-18.685104; projection=WGS84

dcmiPoint: east=147.041791; north=-19.29879; projection=WGS84

dcmiPoint: east=147.11878; north=-19.403702; projection=WGS84

dcmiPoint: east=146.218286; north=-18.418524; projection=WGS84

dcmiPoint: east=147.672225; north=-19.826061; projection=WGS84

Subjects
Biological Sciences | Behavioural Ecology | Coastal and Estuarine Systems and Management | Coastal or Estuarine Biodiversity | Community Ecology (Excl. Invasive Species Ecology) | Environmental Management | Ecology | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | Population Ecology | batoid | drone | intertidal | north Queensland | ray | species composition |

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Identifiers
  • DOI : 10.25903/DEYZ-HW44
  • Local : researchdata.jcu.edu.au//published/c7efc930229811f191f2f1bf0eb85acd
ACN 633 798 857