EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/VERTEBRATES | FISH | SHARKS/RAYS/CHIMAERAS
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Google Earth KMZ files of hammerhead sharks tagged with Wildlife Computers miniPAT archival tags and SPOT6 tags. Files of animals tagged with MiniPAT tags include an MELE polygon, which is the 'Maximum extent of location estimates', that is, a polygon enclosing all position estimates at the maximum error level (100 km). Collectively, movements are restricted within state waters with no hammerheads moving across state or International boundaries.
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This data describes various acanthocephalan, nematode and helminth parasites identified on elasmobranchs caught between 2015 and 2018 at a number of sites around Australian. All parasite and host data is contained with tables in publications linked to this record (see Supplementary Information and Online Resources section).
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Meta data of all tagged hammerhead sharks detailing tag dates, locations, and shark biological details.
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CSV files of location data (position estimates) for hammerhead sharks tagged with Wildlife Computers miniPAT archival tags and SPOT6 tags. Note that miniPAT data estimates may be up to 100 km (Kevin Lay, Wildlife computers pers comm). Location estimates from archival miniPAT tags also need to be considered against ARGOS location classes (see http://www.argos-system.org/manual/3-location/34_location_classes.htm). Collectively, movements are restricted within state waters with no hammerheads moving across state or International boundaries.
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This record describes the sample collection location for grey nurse shark as part of NESP MB Project A9 - Grey Nurse Shark CK-MR Population Estimate – East Coast. The data attached to this record describes the locations and vB parameters of tissue samples collected between December 2002 and April 2017. Sequencing data will be added to ALA as it becomes available. See https://fieldcapture.ala.org.au/project/index/b3376517-e418-4a38-ba45-63faae7ed8be for updates.
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This dataset describes the predicted occurrence of juvenile sharks around Northwest Australia, mapped over a 0.01 degree spatial grid. Juvenile sharks were mapped at two taxonomic levels: order by including all juvenile sharks sampled (all juveniles) and species by considering the three most abundant species sampled separately (grey reef (Carcharhinus amblyrhynchos), sandbar (Carcharhinus plumbeus), and whitetip reef (Triaenodon obesus) sharks). The data cover the period 2003-2013 and are derived from an analysis of count data derived from baited remote underwater videos deployed through various sampling programs. Further detail can be found in the following peer-reviewed publication: Oh, BZL, Sequeira, AMM, Meekan, MG, Ruppert, JLW and Meeuwig, JJ (2017), Predicting occurrence of juvenile shark habitat to improve conservation planning. Conservation Biology, 31: 635–645. doi:10.1111/cobi.12868 Below is a full list of species, with contributions to the total counted (%): -------------------------------------------------- Silvertip shark / Carcharhinus albimarginatus – 4.14% Grey reef shark / Carcharhinus amblyrhynchos – 28.06% Bronze whaler / Carcharhinus brachyurus – 0.18% Galapagos shark / Carcharhinus galapagensis – 0.09% Bull shark / Carcharhinus leucas – 0.18% Common-Australian blacktip shark / Carcharhinus limbatus-C.tilstoni – 1.38% Blacktip reef shark / Carcharhinus melanopterus – 1.56% Sandbar shark / Carcharhinus plumbeus – 4.78% Spot-tail shark / Carcharhinus sorrah – 0.18% Tiger shark / Galeocerdo cuvier – 2.39% Sliteye-Sharpnose shark / Loxodon macrorhinus-Rhizoprionodon spp. – 6.35% Lemon shark / Negaprion acutidens – 1.01% Whitetip reef shark / Triaenodon obesus – 18.95% Tawny shark / Nebrius ferrugineus – 0.83% Grey carpetshark / Chiloscyllium punctatum – 1.38% Taselled wobbegong / Eucrossorhinus dasypogon – 0.09% Scalloped hammerhead / Sphyrna lewini – 0.46% Great hammerhead / Sphyrna mokarran – 3.86% Zebra shark / Stegostoma fasciatum – 0.83% Sicklefin houndshark / Hemitriakis falcata – 1.01% Grey gummy shark / Mustelus ravidus – 0.28% Archived BRUVS video files used in this study are the intellectual property of multiple institutions and industry partners and are not published in this record. See credits for further information.
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This dataset describes the relative abundance of an assemblage of commercially exploited demersal fishes in northwestern Australia, mapped over a 30 arc-minute (0.5 degree) spatial grid. The data cover the period 1997-2006 and are derived from an analysis of commercial landings available through the Sea Around Us Project (http://www.seaaroundus.org/). Further methodological details can be found in the following peer-reviewed publication, which applies the same analysis to a suite of mobile pelagic species: Bouchet PJ, Meeuwig JJ, Huang Z, Letessier TB, Nichol SL, Caley MJ, Watson RA. 2016. Continental-scale hotspots of pelagic fish abundance inferred from commercial catch records. Global Ecology and Biogeography. Below is a full list of species/genera/families considered, with their respective contributions to the total catch (%): -------------------------------------------------- Mustelus -- 26.1948% Platycephalidae -- 23.3191% Seriolella -- 10.8968% Sillaginidae -- 9.4242% Genypterus blacodes -- 5.8347% Pristiophorus -- 4.4934% Tetraodontidae -- 4.3235% Nemadactylus -- 4.2784% Squatinidae -- 3.6071% Mugilidae -- 3.181% Sparidae -- 2.7037% Chelidonichthys kumu -- 0.7146% Rajiformes -- 0.4497% Pterygotrigla polyommata -- 0.3911% Scorpaenidae -- 0.1292% Callorhinchus milii -- 0.0367% Rhombosolea -- 0.0046% Pleuronectiformes -- 0.0034% Leiognathidae -- 0.003% Lates calcarifer -- 0.0029% Ariidae -- 0.0025% Sciaenidae -- 0.0017% Nemipteridae -- 0.0014% Nemipterus -- 0.0014% Upeneus -- 0.001% Data will be attached to this record once analyses are completed, est. December 2016.
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This dataset describes visual sightings of marine megafauna (whales, dolphins and sharks) obtained during a series of dedicated aerial surveys conducted as part of a NESP Marine Biodiversity Hub project within and around the Bremer Marine Park, southern Western Australia. The data reflect 25 hours of observer effort (on transect), and 62 sightings of four identifiable species, including killer whales (Orcinus orca), sperm whales (Physeter macrocephalus), long-finned pilot whales (Globicephala melas), and bottlenose dolphins (Tursiops sp.). Numerous unidentified cetaceans and sharks were also seen. For more information, see: https://www.nespmarine.edu.au/project/ep2-surveying-marine-life-canyons-bremer-bay
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White sharks are listed as vulnerable under the Commonwealth Environment Protection and Biodiversity Conservation Act 1999 and actions to assist their recovery and long-term viability are prescribed in a national recovery plan for the species. A priority action is to develop an effective means of estimating the size of white shark populations and monitor their status (population trend). This would provide a scientific basis for assessing recovery actions, and for local policies governing human-shark interactions: an issue of significant public concern. NESP Project A3 provides a national assessment of the southern-western adult white shark population abundance and an update of the total eastern Australasian white shark population abundance and status in order to establish the efficacy of existing recovery actions and provide a scientifically sound and rational basis from which to inform policies that aim to balance conservation objectives and public safety. This record describes white shark distribution and movement through the use of acoustic and electronic tags fitted to approx. 70 animals. Tag detection data are continually uploaded to the IMOS Animal Tracking Facility (ATF) database. This data collection has been granted Protected Species Status and access to the data is currently restricted. Refer to the Point of Contact listed in this record for further information regarding access to data.
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This dataset describes the relative abundance of an assemblage of commercially exploited pelagic fishes around Western Australia, mapped over a 30 arc-minute (0.5 degree) spatial grid. The data cover the period 1997-2006 and are derived from an analysis of commercial landings available through the Sea Around Us Project (http://www.seaaroundus.org/). Further details can be found in the following peer-reviewed publication: Bouchet PJ, Meeuwig JJ, Huang Z, Letessier TBL, Nichol SL, Caley MJ, Watson RA. 2017. Continental-scale hotspots of pelagic fish abundance inferred from commercial catch records. Global Ecology and Biogeography. DOI: 10.1111/geb.12619 Below is a full list of species considered, with their respective contributions to the total catch (%): -------------------------------------------------- Greenback horse mackerel / Trachurus declivis -- 10.92 % Greater amberjack / Seriola dumerili -- 0.05 % Samson fish / Seriola hippos -- 0.01 % Silver gemfish / Rexea solandri -- 2.80 % Snoek / Thyrsites atun -- 1.22 % Indo-Pacific blue marlin / Makaira mazara -- 2.87 % Striped marlin / Tetrapturus audax -- 0.26 % Black marlin / Makaira indica -- 0.17 % Indo-Pacific sailfish / Istiophorus platypterus -- 0.06 % Shortbill spearfish / Tetrapturus angustirostris -- 0.00 % Bluefish / Pomatomus saltatrix -- 0.13 % Southern bluefin tuna / Thunnus maccoyii -- 19.17 % Narrow-barred Spanish mackerel / Scomberomorus commerson -- 16.93 % Skipjack tuna / Katsuwonus pelamis -- 9.82 % Yellowfin tuna / Thunnus albacares -- 9.40 % Bigeye tuna / Thunnus obesus -- 7.67 % Albacore tuna / Thunnus alalunga -- 4.16 % Longtail tuna / Thunnus tonggol -- 0.78 % Kawakawa (mackerel tuna) / Euthynnus affinis -- 0.56 % Wahoo / Acanthocybium solandri -- 0.01 % Great barracuda / Sphyraena barracuda -- 0.25 % Tope shark / Galeorhinus galeus -- 6.66 % Swordfish / Xiphias gladius -- 6.09 %
IMAS Metadata Catalogue