Data

NESP A12: Northern Australia Pressures mapping

University of Tasmania, Australia
Viv Tulloch-McShane
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=ecb15d97-8deb-454e-bca8-0db634d9e29a&rft.title=NESP A12: Northern Australia Pressures mapping&rft.identifier=http://metadata.imas.utas.edu.au/geonetwork/srv/eng/search?uuid=ecb15d97-8deb-454e-bca8-0db634d9e29a&rft.description=Relevant spatial datasets for mapping pressures were identified and collated. Pressures were categorised as resource extraction and use, pollution, habitat modification, climate, and ‘other’. Pressures included Commonwealth trawl fisheries effort, aquaculture infrastructure, location of oil and gas infrastructure, historical shipping and pollution data, location of historical seismic operations, cyclone intensity, spoil dumping, sewage outfalls, location of ports, and tourism operations. Two main pressure maps were derived i) an additive pressure hotspots map, which gives higher weight to areas with multiple pressures of high risk; and, ii) a multiplicative hotspot pressure map, which gives lower weighting to areas with multiple low risk pressures. Areas of high risk were identified, and thus possibly high benefit for management versus low risk or low associated benefit for mitigation. The information generated needs to be considered alongside robust species distribution data and interaction matrices for effective decision-making.Relevant spatial datasets to mapping pressures for the northern marine region were identified and collated. These include national spatial datasets collated by CSIRO as part of the NESP Pressures Project (C1). New data were acquired from online sources and/or data holders and spatially digitized or interpolated and modeled. New pressure sources and drivers included state resource extraction and use, pollution and habitat degradation sources, and climate impacts. Further spatial data on bycatch and fisheries and ship interactions with TEPS were also collated, interpolated and spatially digitized where possible. Details of data interpolation by layer are found in the metadata. Data were mapped to a resolution of 0.1 degrees and clipped to the North Marine Bioregion using ArcGIS.&rft.creator=Viv Tulloch-McShane &rft.date=2020&rft.coverage=northlimit=-9.65; southlimit=-17.963; westlimit=128.957; eastLimit=142.712&rft.coverage=northlimit=-9.65; southlimit=-17.963; westlimit=128.957; eastLimit=142.712&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=geoscientificInformation&rft_subject=National Environmental Science Program (NESP) Marine Biodiversity Hub, Department of the Environment and Energy (DoEE) (dataSource)&rft_subject=North Marine Bioregion&rft_subject=FISHERIES&rft_subject=EARTH SCIENCE&rft_subject=AGRICULTURE&rft_subject=AGRICULTURAL AQUATIC SCIENCES&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS&rft_subject=CLIMATE INDICATORS&rft_subject=INDUSTRIALIZATION&rft_subject=HUMAN DIMENSIONS&rft_subject=SOCIOECONOMICS&rft_subject=INFRASTRUCTURE&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0

Access:

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Brief description

Relevant spatial datasets for mapping pressures were identified and collated. Pressures were categorised as resource extraction and use, pollution, habitat modification, climate, and ‘other’. Pressures included Commonwealth trawl fisheries effort, aquaculture infrastructure, location of oil and gas infrastructure, historical shipping and pollution data, location of historical seismic operations, cyclone intensity, spoil dumping, sewage outfalls, location of ports, and tourism operations. Two main pressure maps were derived i) an additive pressure hotspots map, which gives higher weight to areas with multiple pressures of high risk; and, ii) a multiplicative hotspot pressure map, which gives lower weighting to areas with multiple low risk pressures. Areas of high risk were identified, and thus possibly high benefit for management versus low risk or low associated benefit for mitigation. The information generated needs to be considered alongside robust species distribution data and interaction matrices for effective decision-making.

Lineage

Relevant spatial datasets to mapping pressures for the northern marine region were identified and collated. These include national spatial datasets collated by CSIRO as part of the NESP Pressures Project (C1). New data were acquired from online sources and/or data holders and spatially digitized or interpolated and modeled. New pressure sources and drivers included state resource extraction and use, pollution and habitat degradation sources, and climate impacts. Further spatial data on bycatch and fisheries and ship interactions with TEPS were also collated, interpolated and spatially digitized where possible. Details of data interpolation by layer are found in the metadata. Data were mapped to a resolution of 0.1 degrees and clipped to the North Marine Bioregion using ArcGIS.

Notes

Credit
National Environmental Science Program (NESP), Department of the Environment and Energy (DoEE)

Data time period: 2018-01-01 to 2018-01-01

Click to explore relationships graph

142.712,-9.65 142.712,-17.963 128.957,-17.963 128.957,-9.65 142.712,-9.65

135.8345,-13.8065

text: northlimit=-9.65; southlimit=-17.963; westlimit=128.957; eastLimit=142.712

Other Information
(DATA ACCESS - Pressures Mapping [File Geodatabase, direct download] (fisheries data withheld))

uri : https://data.imas.utas.edu.au/attachments/ecb15d97-8deb-454e-bca8-0db634d9e29a/PUBLIC_Final_layers_GCSGDA1994.mdb

(SUPPLEMENTARY INFO - description of layers in File Geodatabase (above))

uri : https://data.imas.utas.edu.au/attachments/ecb15d97-8deb-454e-bca8-0db634d9e29a/data_metadata.xlsx

Identifiers
  • global : ecb15d97-8deb-454e-bca8-0db634d9e29a