This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Synthesis Study - "National trends in coral species following heatwaves". For specific data outputs from this project, please see child records associated with this metadata. -------------------- This project engaged coral taxonomic experts to annotate existing Reef Life Survey (RLS) photoquadrats taken across northern Australia before and after major disturbances, to allow: • Quantification of the spatial and species-level responses of Australian corals to the 2016 and 2017 marine heatwave and mass bleaching events (and cyclones that occurred during this period). • Identification of the species most threatened by warming and cyclones, and species likely to respond best to restoration efforts. • Contribution to a coral-specific analysis to the next national State of the Environment report. Planned Outputs • Dataset on % cover of corals to highest taxonomic resolution possible from surveys around northern Australia before and after the 2016 mass bleaching event.

This record describes the following: 1) Code for detecting surface temperature mean and variance linear trend from 1982 to 2016. 2) Metrics (mean intensity, duration, and frequency) linear trend of marine cold spells from 1982-2016. This data can be used to plot a global data map of marine cold spell metrics linear trend.

This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Project E3 - "Microplastics in the Australian marine environment". No data outputs are expected for this project. -------------------- A literature review will firstly identify key marine microplastics research and policy development internationally, with a focus on research that is contextual to microplastics in the Australian marine environment From this literature review, an options paper will be developed to explore the most feasible and impactful policy approaches for the Australian context to reduce both intentionally added and not intentionally added microplastics in the marine environment (it would be beneficial to understand the policy options that can address both categories of microplastics because the options are different). These two reports would form the basis of a one day workshop that will draw together policy-makers, researchers and relevant industry peak bodies to discuss and recommend policy and other options to limit the release / impact of microplastics in the environment. A workshop report will be drafted to summarise findings, recommendations, and next steps (including identifying gaps in both science and policy will inform any future work required). The report will provide evidence to underpin the development of national policy aimed at reducing microplastic pollution, including by identifying priority actions to deliver Australia’s 2018 National Waste Policy .

Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Mellish Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

During the RV Investigator Eddy voyage (IN2016_V02), we sampled a mesoscale cyclonic and anticyclonic eddy in the Southern Ocean south to Tasmania. We have collected water samples to analyse concentration of phytoplankton biomass and nutrients.

Intraspecific variation in the thermal tolerance of microscopic giant kelp (Macrocystis pyrifera) sporophytes was tested using a common garden experiment, where 49 unique family-lines were raised under four different water temperatures (12, 16, 20, and 24°C). The unique family-lines were taken from ongoing giant kelp gametophyte cultures held at IMAS, and represented F1 offspring from seven 'selfed' individuals collected from 6 sites across ~250km in Tasmania, Australia, in addition to a site-level cross from each of the sites, and a panmictic cross using the 42 pure family lines. Survivorship of the selected warm-adapted family-lines after outplanting trials at restoration sites can be found here with the associated dataset "NESP Marine Hub Project E7 outplanted kelp survivorship". https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/908afd8c-cc7a-4ea3-a87e-4497ae8da87a

Achived photoquadrats are available from Reef Life Survey (RLS) surveys undertaken before and after a 2016 bleaching event at all major coral reef systems in Australia. This collection was analysed by experts to annotate coral cover to the highest possible taxonomic resolution for ~40,000 images. Specific Australian Marine Parks included are Ashmore Reef, Mermaid Reef and Coral Sea. NOTE: The high resolution coral taxonomic identification data has been assimilated into the larger global RLS photoquadrats data collection, currently held by AODN. This data is intended to be published before the end of 2020. Once published, the subset of annotation data generated by this project will be published as an excerpt attached to this record.

Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Lexington Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.