Sea Around Us Project - Relative demersal fish abundance inferred from commercial catch data, northwestern Australia (1997-2006)
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 (%):
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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.
Simple
Identification info
- Date (Creation)
- 2016-06-15
Owner
Principal investigator
Principal investigator
- Credit
- National Environmental Science Program (NESP) Marine Biodiversity Hub
- Status
- On going
Principal investigator
Principal investigator
- Topic category
-
- Biota
Extent
Temporal extent
- Time period
- 1997-01-01 2006-12-31
- Maintenance and update frequency
- As needed
- Keywords (Theme)
-
- HOTSPOTS
- ABUNDANCE
- WILDLIFE DISTRIBUTION
- BIOGEOGRAPHY
- Keywords (Taxon)
-
- TUNA
- MACKEREL
- MARLIN
- Global Change Master Directory (GCMD) Earth Science Keywords Version 8.0
- Australian and New Zealand Standard Research Classification (ANZSRC): Fields of Research
Resource constraints
- Classification
- Unclassified
Resource constraints
- Use limitation
- The data described in this record are the intellectual property of the University of Western Australia and the University of Tasmania.
Resource constraints
- Linkage
-
http://i.creativecommons.org/l/by/4.0/88x31.png
License Graphic
- Title
- Creative Commons Attribution 4.0 International License
- Website
-
http://creativecommons.org/licenses/by/4.0/
License Text
- Other constraints
- 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).
- Other constraints
- 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).
- Language
- English
- Character encoding
- UTF8
- Supplemental Information
- Bouchet P, Meeuwig J, Huang Z, Letessier T, Nichol S, Caley J, Watson R. Continental-scale hotspots of pelagic fish abundance inferred from commercial catch records.
Content Information
- Content type
- Physical measurement
Distribution Information
- Distribution format
-
-
SHP
-
SHP
- OnLine resource
-
NESP:SAUP_NW_demersalfish
MAP - Relative Demersal Fish Abundance
- OnLine resource
-
NESP Project D1 [ANDS RDA record]
Resource lineage
- 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.
- Hierarchy level
- Dataset
Metadata
- Metadata identifier
-
e90f84bd-a1c8-4943-ac6a-dbfee0cc313e
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/e90f84bd-a1c8-4943-ac6a-dbfee0cc313e
Point of truth URL of this metadata record
- Date info (Creation)
- 2020-10-28T08:34:21
- Date info (Revision)
- 2020-10-28T08:34:21
Metadata standard
- Title
- ISO 19115-3:2018