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This record provides an overview of the scope and research output of the NESP Marine Biodiversity Hub project "Guidelines for analysis of cumulative impacts and risks to the Great Barrier Reef". No data outputs were generated by this project. -------------------- The project will develop guidance for the analysis of cumulative impacts and risks to the environmental, social and economic values of the GBR. The project will use existing information to develop guidance for use by GBRMPA, DoEE, the Queensland Government and proponents of future development proposals. The project will build on the work undertaken in the GBR Strategic Assessment and support works undertaken under the Reef 2050 plan. The guidance will provide a practical science-based approach to assessment of cumulative risks to the Reef. Research will focus on providing a general and repeatable approach to be applied at the whole-of-reef scale (to meet planning, assessment and reporting requirements of the GBRMPA) and also at the development-site-scale (to meet the environmental assessment requirements of the GBRMPA and future proponents). The guidance will be developed in close collaboration with the GBRMPA and DoEE to ensure it is practical and compatible with relevant legislation and policy applicable to proposed actions within the GBR. The project will include a case study focused on attributing impacts of pressures and their cumulative impacts on shallow-water coral reefs of eastern Australia (including cumulative impacts for the whole-of-GBR). It will also examine how this could be applied to shallow temperate reefs follow recent risk assessments conducted in NSW. Research is primarily designed to meet the specific needs of GBRMPA and future proponents. NSW DPI, QLD Government and Parks Australia, may also benefit from the case study and insights to assessment of cumulative impacts. Planned Outputs • Case Study Report on GBR & Coral Sea reefs pressure analysis. • Final report - guidance for analysis of cumulative impacts and risk
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These files contain the metadata adopted and MATLAB code edited as well as visual plots generated in the Hongkun Honour's project. The data mainly includes the shipboard ADCP data and vertical cast type of Triaxus data collected from RV Investigator during the voyage IN2016V04 and IN2018T01 and satellite data (chlorophyll, sea level anomaly & sea surface temperature) collected from the IMOS website on the study region. The data was processed in MATLAB and then used to find visualization results, with the ultimate aim of exploring the potential of Triaxus in biogeochemistry.
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The Aqua and Orbview satellites carry a MODIS and SeaWIFS sensors (respectively) that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These multi-spectral measurements are used to infer the concentration of chlorophyll-a (Chl-a), most typically due to phytoplankton, present in the water. There are multiple retrieval algorithms for estimating Chl-a and aggregating the data over time. This data set is a reprocessed copy of 9km monthly and 8-day versions produced globally by NASA, adjusted for the Southern Ocean south of latitude 30S. The full methodology is described in Johnson, R., Strutton, P.G., Wright, S.W., McMinn, A., Meiners, K.M., 2013. Three improved satellite chlorophyll algorithms for the Southern Ocean. Journal of Geophysical Research: Oceans. doi: 10.1002/jgrc.20270. It is expected that the data set will be periodically updated with contemporary data as it becomes available. There are four sub-streams within this data set. A monthly and an 8-day series for MODIS/Aqua and similarly for SeaWIFS. Note that SeaWIFS ceased operation in late 2010 so there will be no further SeaWIFS data. The data represented by this record is monthly data for MODIS/Aqua.
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The goal of the program was developing comprehensive inventories and maps of the distribution and abundance of physical and biological seabed habitats, seagrasses and benthic assemblages to provide baseline environmental mapping and a description of ecological patterns. The benthic habitat mapping was performed by utilising R/Python and Maxent software within the species distribution modelling domain. We correlated the probability of occurrence of individual benthic habitat classes with the environmental predictors developed form the multibeam hydroacoustic dataset. The data is presented as a maximum likelihood map incorporating all five prediction classes: (1- Macroalgae; 2- Filter Feeders; 3- Seagrass; 4- Hard Corals; 5- Bare seafloor). An updated version of this data are available (2022) Revised predictive benthic habitat map for Darwin Harbour. Report prepared for Department of Environment, Parks and Water Security. Australian Institute of Marine Science, Darwin, 127 pp.
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The Aqua and Orbview satellites carry a MODIS and SeaWIFS sensors (respectively) that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These multi-spectral measurements are used to infer the concentration of chlorophyll-a (Chl-a), most typically due to phytoplankton, present in the water. There are multiple retrieval algorithms for estimating Chl-a and aggregating the data over time. This data set is a reprocessed copy of 9km monthly and 8-day versions produced globally by NASA, adjusted for the Southern Ocean south of latitude 30S. The full methodology is described in Johnson, R., Strutton, P.G., Wright, S.W., McMinn, A., Meiners, K.M., 2013. Three improved satellite chlorophyll algorithms for the Southern Ocean. Journal of Geophysical Research: Oceans. doi: 10.1002/jgrc.20270. It is expected that the data set will be periodically updated with contemporary data as it becomes available. There are four sub-streams within this data set. A monthly and an 8-day series for MODIS/Aqua and similarly for SeaWIFS. Note that SeaWIFS ceased operation in late 2010 so there will be no further SeaWIFS data. The data represented by this record is monthly data for SeaWIFS.
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This resource includes the series of Aquaculture Maps produced for Northern Territory and depicts the aquaculture lease area and state wide annual production totals for 2003/2004, 2008/2009, 2013/2014, 2018/2019 and current 2022/2033.
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The CSIRO’s Oceans & Atmosphere Shallow Survey Internal Facility (SSIF) was contracted by the Institute for Marine and Antarctic Studies (IMAS) of the University of Tasmania (UTAS) in collaboration with Parks Australia, to undertake a hydrographic survey of the Boags Commonwealth Marine Reserve in the southwestern Bass Strait. This site was surveyed in conjunction with other smaller sites for Petuna Aquaculture, as part of a broader survey campaign. All of the sites covered in this campaign are located in the vicinity of the Hunter Group of Islands, off the north-western coast of Tasmania.
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This resource is a map of coastal population areas for statistical Areas level 2. ABS Population and people themed data items published in 2022 by Statistical Areas Level 2 (SA2), 2021 This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the 22 November 2023 release of Data by region (DBR) . Individual data items present the latest reference year data available on DBR. This layer presents data by Statistical Areas Level 2 (SA2), 2021. The Population and people theme is based on groupings of data within Data by region (DBR). Concepts, sources and methods for each dataset can be found on the Data by region methodology page. The Population and people theme includes: Estimated resident population (including age by sex) Births and deaths Internal and overseas migration Census data When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope, and coverage can differ across collections. Some data values have been randomly adjusted or suppressed to avoid the release of confidential data. In some cases small cells have been randomly altered to zero. Care should be taken when interpreting cells with small numbers or zeros.
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This resource is a Spatial Representation of the boundaries of 2D Reprocessed Seismic Surveys (applying updated processing techniques to existing 2D seismic surveys). Data is derived from the National Offshore Petroleum Information Management System (NOPIMS). https://nopims.dmp.wa.gov.au/Nopims/GISMap/Map While every effort is made to ensure that surveys are correctly located on the map, their location is only an aid to search and discovery of survey data. Proper submitted navigation/position data associated with the survey should be used to correctly locate a survey Disclaimer Surveys are spatially represented in NOPIMS by their post-plot navigation (i.e. actual survey data acquired and not the planned or pre-plot navigation). 3D surveys are spatially represented by their full fold data polygon (i.e. actual seismic data coverage), if this is not available the four sided binning polygon will be used instead. This means that the data coverage for a survey will most likely be less than its spatial representation. 2D surveys are spatially represented by "ends-and-bends" lines derived from the P1/90 processed navigation. For some older surveys, or where proper P1/90 navigation is not available, the survey lines are derived from digitized maps or other navigation data of unknown source, but verified against other available information.
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This project determined the ecological effect of coastal wastewater treatment plant (WWTP) outfalls in two different coastal settings. Treated effluent, seawater, and marine sediments were collected from two WWTP outfalls located in South Australia (Glenelg & St Kilda). This is a shallow and retentive receiving environment and may accumulate effluent contaminants. Additionally, sediments were collected from another WWTP outfall in New South Wales (Malabar). This deep-water outfall discharges into a highly dispersive environment and offers a point of comparison for contaminant retention with the outfalls located in South Australia. Work focused on five contaminants that water quality managers had identified in previous NESP MaC work (Project 1.16) as being highly important: nutrients and metals (traditional effluent pollutants); and antibiotics, per- and poly-fluoroalkyl substances (PFAS), and microplastics (contaminants of emerging concern). This record describes the results from the sediment sampling component of this study. Results from the effluent and seawater sampling are described separately by the record 'Effluent and seawater sampling data from wastewater treatment plant outfalls' (https://doi.org/10.25959/648J-HR45).
IMAS Metadata Catalogue