Data

Sea Around Us Project - Relative demersal fish abundance inferred from commercial catch data, northwestern Australia (1997-2006)

Australian Ocean Data Network
Watson, Reginald ; Bouchet, Phil ; Meeuwig, Jessica
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/e90f84bd-a1c8-4943-ac6a-dbfee0cc313e&rft.title=Sea Around Us Project - Relative demersal fish abundance inferred from commercial catch data, northwestern Australia (1997-2006)&rft.identifier=https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/e90f84bd-a1c8-4943-ac6a-dbfee0cc313e&rft.description=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.Maintenance and Update Frequency: asNeededStatement: Raw data were filtered and spatially partitioned into 4 contiguous bioregions (North, Gascoyne, West, South), as per the management boundaries recognised by the Western Australian Department of Fisheries. Catch values were paired with estimates of fishing effort acquired independently and gap-filled (where appropriate) using a multivariate smoothing spline algorithm. Generalised linear models (GLMs) were used to standardise catch rates and account for the confounding effects of year, fishing gear type, body mass and effort. Model coefficients were extracted as relative abundance indices, and hotspots identified based on the position of the 45 degree tangents to their cumulative frequency distribution. For further details, see 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.&rft.creator=Watson, Reginald &rft.creator=Bouchet, Phil &rft.creator=Meeuwig, Jessica &rft.date=2016&rft.coverage=westlimit=115; southlimit=-21.5; eastlimit=129; northlimit=-9.25&rft.coverage=westlimit=115; southlimit=-21.5; eastlimit=129; northlimit=-9.25&rft_rights=The data described in this record are the intellectual property of the University of Western Australia and the University of Tasmania.&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_rights=http://i.creativecommons.org/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).&rft_rights=Data was sourced from the NESP Marine Biodiversity Hub – the Marine Biodiversity Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of the Environment (DOE).&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=biota&rft_subject=HOTSPOTS&rft_subject=ABUNDANCE&rft_subject=WILDLIFE DISTRIBUTION&rft_subject=BIOGEOGRAPHY&rft_subject=TUNA&rft_subject=MACKEREL&rft_subject=MARLIN&rft_subject=FISH&rft_subject=EARTH SCIENCE&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=ANIMALS/VERTEBRATES&rft_subject=SHARKS/RAYS/CHIMAERAS&rft_subject=FISHERIES&rft_subject=OCEANS&rft_subject=AQUATIC SCIENCES&rft_subject=Aquatic Ecosystem Studies and Stock Assessment&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=FISHERIES SCIENCES&rft_subject=Fisheries Management&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft.type=dataset&rft.language=English Access the data
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The data described in this record are the intellectual property of the University of Western Australia and the University of Tasmania.

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The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).

Data was sourced from the NESP Marine Biodiversity Hub – the Marine Biodiversity Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of the Environment (DOE).

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Brief description

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.

Lineage

Maintenance and Update Frequency: asNeeded
Statement: Raw data were filtered and spatially partitioned into 4 contiguous bioregions (North, Gascoyne, West, South), as per the management boundaries recognised by the Western Australian Department of Fisheries. Catch values were paired with estimates of fishing effort acquired independently and gap-filled (where appropriate) using a multivariate smoothing spline algorithm. Generalised linear models (GLMs) were used to standardise catch rates and account for the confounding effects of year, fishing gear type, body mass and effort. Model coefficients were extracted as relative abundance indices, and hotspots identified based on the position of the 45 degree tangents to their cumulative frequency distribution. For further details, see 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.

Notes

Credit
National Environmental Science Program (NESP) Marine Biodiversity Hub

Created: 2016-06-15

Data time period: 1997-01-01 to 2006-12-31

This dataset is part of a larger collection

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129,-9.25 129,-21.5 115,-21.5 115,-9.25 129,-9.25

122,-15.375

text: westlimit=115; southlimit=-21.5; eastlimit=129; northlimit=-9.25

Subjects
ABUNDANCE | Agricultural and Veterinary Sciences | ANIMALS/VERTEBRATES | AQUATIC SCIENCES | Aquatic Ecosystem Studies and Stock Assessment | BIOGEOGRAPHY | BIOLOGICAL CLASSIFICATION | Biological Sciences | EARTH SCIENCE | Ecology | FISH | FISHERIES | Fisheries Sciences | Fisheries Management | HOTSPOTS | MACKEREL | MARLIN | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | OCEANS | SHARKS/RAYS/CHIMAERAS | TUNA | WILDLIFE DISTRIBUTION | biota |

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Other Information
(DATA ACCESS - direct download Relative Abundance Demersal Fish [geotiff])

uri : https://data.imas.utas.edu.au/attachments/e90f84bd-a1c8-4943-ac6a-dbfee0cc313e/SAUP_NW_demersalfish.zip

(NESP Project D1 [ANDS RDA record])

purl : http://purl.org/au-research/grants/nesp/mb/d1

global : d150240e-3cb7-437f-90ca-b9fafe700a19

Identifiers
  • global : e90f84bd-a1c8-4943-ac6a-dbfee0cc313e
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