Data

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

University of Tasmania, Australia
Watson, Reginald
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=http://metadata.imas.utas.edu.au/geonetwork/srv/eng/search?uuid=16501b1f-4b29-4b52-82d1-2e5c4d536acc&rft.title=Sea Around Us Project - Relative pelagic fish abundance inferred from commercial catch data, Western Australia (1997-2006)&rft.identifier=http://metadata.imas.utas.edu.au/geonetwork/srv/eng/search?uuid=16501b1f-4b29-4b52-82d1-2e5c4d536acc&rft.description=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 %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 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&rft.creator=Watson, Reginald &rft.date=2016&rft.coverage=westlimit=109.2; southlimit=-40.7282971451; eastlimit=128.8; northlimit=-9.25&rft.coverage=westlimit=109.2; southlimit=-40.7282971451; eastlimit=128.8; 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=Fisheries Management&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=FISHERIES SCIENCES&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=Aquatic Ecosystem Studies and Stock Assessment&rft_subject=Abundance of biota&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 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 %

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 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

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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128.8,-9.25 128.8,-40.7283 109.2,-40.7283 109.2,-9.25 128.8,-9.25

119,-24.98914857255

text: westlimit=109.2; southlimit=-40.7282971451; eastlimit=128.8; northlimit=-9.25

Subjects
ABUNDANCE | Agricultural and Veterinary Sciences | ANIMALS/VERTEBRATES | AQUATIC SCIENCES | Abundance of biota | 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
(NESP Project D1 [ANDS RDA record])

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

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

Identifiers
  • global : 16501b1f-4b29-4b52-82d1-2e5c4d536acc
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