IMAS Metadata Catalogue
citizen science
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This record provides an overview of the scope and research output of the NESP Marine Biodiversity Hub project "Socioeconomic benchmarks". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Social and economic values are key drivers for marine science and marine policy but are too rarely integrated with marine biodiversity monitoring programs. In close consultation with Parks Australia (PA) we will review existing metrics used to survey social and economic values associated with marine parks. This review will include consulting with national and international expertise and actively consulting with State and other Commonwealth agencies, some of whom are currently conducting reviews or have existing frameworks for surveying social and economic values (e.g Great Barrier Reef Marine Park Authority (GBRMPA), NSW Department of Primary Industries (DPI)). In collaboration with national partners and PA we will organise a national methods workshops to discuss and refine metrics and methods to quantify social and economic benchmarks for State and Australian Marine Parks (AMPs) and produce Standard Operating Procedure’s (SOP) relevant to AMPs taking into consideration the Department of the Environment and Energy’s (DoEE’s) environmental accounting processes and PA’s Monitoring, Evaluation, Reporting and Improvement (MERI) framework. Planned Outputs • SOP for measuring social and economic metrics for AMPs • Final report on essential (key) AMP social and economic metrics • Summaries of research and surveys made available through the Marine Parks Science Atlas
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This dataset comes from the Floating Forests project (https://floatingforests.org). Floating Forests is an online citizen science project attempting to map the cover of surface-canopy forming kelps, primarily the giant kelp Macrocystis pyrifera, using Landsat data. To acquire the data, citizen scientists were given tiles of images taken from the Landsat series of satellites (https://landsat.usgs.gov/) scenes that had been manipulated to make kelp more visible. Landsat has a roughly two week repeat time for the entire globe and a 30m resolution, although given variability in weather quarterly aggregation is recommended. Each image was scene at minimum four times. If no kelp was noted, then it was retired and scored as a zero. If kelp was noted in the first four classifications, then an individual image was shown to fifteen people total. The polygons of kelp beds presented here represent consensus classifications from the platform and are tagged with minimum number of users who classified pixels in the polygons as kelp. For example, at the five user threshold, each area represents pixels where at least five users - not necessarily the same five users - said there was kelp present. This consensus classification has been shown to match very closely to expert classifications. For more information and links to outputs, see https://blog.floatingforests.org in addition to the main project site. Or go to the main project site, and start a conversation in the "talk" section of the site.
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This record provides an overview of the scope and research output of the NESP Marine Biodiversity Hub project "A standardised national assessment of the state of coral and rocky reef biodiversity". For specific data outputs from this project, please see child records associated with this metadata. -------------------- This project will involve integration of a national suite of reef biota Underwater Visual Census (UVC) monitoring datasets (Reef Life Survey (RLS), University of Tasmania (UTAS), Australian Institute for Marine Science (AIMS), Parks Victoria (PV), SA Department of environment, water and natural resources (DEWNR)) to provide a comprehensive update to the state of Australian Reefs report for the next national State of the Environment Report. Maps and indicator trends will show changes in the health of rocky and coral reefs nationally from 2005 to 2020. The update will include addition of a new index which summarises the population trajectories for 600-1000 reef species nationally. Individual species trajectories will provide the only threat status information for the majority of these species, assisting future listing of previously unassessed species if significant declines are detected. Planned Outputs • Maps and trends in SoE indicators • Raw data underlying SoE analyses (data use agreement must be signed with AIMS for access to that data) • Various scientific papers
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This record provides an overview of the scope and research output of the NESP Marine Biodiversity Hub project "National Outfall Database". For specific data outputs from this project, please see child records associated with this metadata. -------------------- The National Outfall Database (NOD) project addresses the need of government and community to understand the impacts on health and the ocean environment that occur from sewerage outfalls around Australia. Planned Outputs • A publicly accessible national outfall database and reports. • A ranking of the outfalls (and sewerage treatment systems) according to health and impact criteria with peer review of the ranking system and resulting ranking outcomes. • Comparison of geographical regions in sewerage volume and pollution impact. • Mapping of the database. • Community engagement in conduct of this research and consumption of the outcomes.
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Snapper and King George whiting occurrence records were aggregated from the Reef Life Survey dataset, IMAS Archives, the Tassie Fish Frame Collection Program, Atlas of Living Australia and Redmap, in addition to pseudoabsences generated through space and time within the study extent, and matched to environmental covariates (sourced from Copernicus Marine) used for species distribution modelling for FRDC project 2018-070. The data described by this record contains fisher GPS information and is commercial-in-confidence. Please contact the Principal Investigator (alexia.grabalandry@utas.edu.au) or IMAS.DataManager@utas.edu.au for data access enquiries.