This dataset contains presence-absence records of the demersal fish sampled during the 2006, 2010 and 2013 Random Stratified Trawl Surveys surrounding Heard and MacDonald Islands on the Kerguelen Plateau. It also contains spatially matched climatological variables from satellite and modelled data that represent sea floor and sea surface conditions likely to affect the distribution of demersal fish. KP_Fish_Env.csv: contains the data used in the bioregionalisation analyses KP_Fish_Field_Descriptions.xlxs: contains descriptions of field headers in KP_Fish_Env.csv and details about the matched environmental data.

This bibliography is a selected list of scientific papers collected by scientists in the ACE-CRC's Antarctic Marine Ecosystem research programme.

This dataset contains environmental layers used to model the predicted distribution of demersal fish bioregions for the paper: Hill et al. (2020) Determining Marine Bioregions: A comparison of quantitative approaches, Methods in Ecology and Evolution. It contains climatological variables from satellite and modelled data that represent sea floor and sea surface conditions likely to affect the distribution of demersal fish including: depth, slope, seafloor temperatures, seafloor current, seafloor nitrate, sea surface temperature, chlorophyll-a standard deviation and sea surface height standard deviation. Layers are presented at 0.1 degree resolution. "prediction_space" is a Rda file for R that consists of two objects: env_raster: a raster stack of the environmental layers pred_sp: a data.frame version of the env_raster where some variables have been transformed for statistical analysis and bioregion prediction. "Env_data_sources.xlsx" contains a description of each environmental variable and it's source.

Sampling strategy: Samples from trawls or sledges are sieved on the trawl deck then sorted in the wet lab per taxonomic group. Sorting may vary from high taxonomic levels (order, family) to specific ones according to expertise on board. For some taxa, sampling includes: up to 10 voucher specimens with a unique batch number; photos; tissue samples in 80% ethanol for DNA analysis (Barcoding and Phylogeny); 30 samples minimum for population genetics (for abundant species); sampling for isotopic measures; fish chromosomes preparations; primary fish cell lines and cryopreservation of fish tissues for permanent cell lines The database was intended to contain information about stations, events, gear, all material collected and associated samples listed above. currently only contains information on material collected and samples. Data was recorded on log sheets then transcribed into an Oracle database called cabo. Tailor made user interace for entering data. No export functionality. SQL database dump has been provided but there was no-one on the voyage to elaborate on the structure, this was promised post voyage along with some simple data exports to match the log sheets, so we have access to the data without the unfriendly database.

Taken from the abstracts of the referenced papers: Distribution patterns of pelagic fish, larvae and juveniles collected by RMT trawls during BROKE survey to CCAMLR Division 58.4.1 were investigated. Nearly 2000 individuals, weighing 1210 g, were collected from approximately 1.5 million cubic metres of the upper 200 m of ocean, supporting the theory that Antarctic ichthyoplankton has low biomass. The collection consisted mainly of P. antarcticum larvae and juveniles and E. antarctica sub-adults, with a range of other notothenioid fish and myctophids. Three distinct biogeographic zones, with characteristic ichthyo- and zooplankton assemblages, were identified. The Oceanic Zone was dominated by myctophids and, in the western reaches, the paralepidid N. coasti. The shelf break zone comprised of myctophids, and the juveniles of notothenioid fish. The shelf zone consisted of notothenioid juveniles and sub-adults. Characteristic water masses and associated zooplankton assemblages were found throughout these three zones. Analysis of fish stomach contents indicated feeding on locally abundant zooplankton taxa. There was niche-partitioning of prey taxa and size classes, between both sympatric species and between different ontogenetic stages. Fish distributions corresponded to known patterns, and extended the geographic range of several species. ##### Zooplankton data from routine 0-200 m oblique trawls were analysed using cluster analysis and non-metric multidimensional scaling to define the communities in Eastern Antarctica (80-150 E), their distribution patterns, indicator species, and species affinities. Three communities were defined based on routine trawls. The Main Oceanic Community comprising herbivorous copepods, chaetognaths, and the euphausiid Thysanoessa macrura dominated the area west of 120 E. The area east of 120 E was dominated by Salpa thompsoni. The third community located in the neritic zone was dominated by Euphausia crystallorophias. Antarctic krill Euphausia superba did not form a distinct community in its own right, unlike previous observations in Prydz Bay. Krill were distributed throughout most of the survey area but generally in higher abundances towards the shelf break. Overall, krill abundance was low compared with previous net surveys in Prydz Bay. Three main types of assemblages were identified based on target trawls. The first group was dominated by krill (mean 1149 individuals per 1000 cubic metres) which represented greater than 99% of Group 1 catches in terms of numbers and biomass. Group 2 comprised the bulk of target trawls and comprised a wide diversity of species typical of the main oceanic community, with a mean abundance approximately half of that observed in the routine trawls. The third group comprised trawls in the neritic zone dominated by E. crystallorophias. No salp-dominated aggregation was found. While E. superba did not dominate a distinct community geographically as seen in previous Prydz Bay surveys, it did dominate discrete layers or aggregations, showing that both horizontal and vertical separation of communities exist. ##### The download file contains the following documents: 199596040Composition.csv 199596040Density.csv 199596040Biomass.csv

This dataset is intended for general use in spatial planning and management to identify areas where benthic marine assemblages are likely to differ from each other in the Southern Ocean. We achieve this by using a hierarchical spatial classification of ecoregions, bathomes and environmental types. Ecoregions are defined according to available data on biogeographic patterns and environmental drivers on dispersal. Bathomes are identified according to depth strata defined by species distributions. Environmental types are uniquely classified according to the geomorphic features found within the bathomes in each ecoregion. This circum-Antarctic map of environmental types can be used to support spatial management aimed at conserving benthic biodiversity across the entire Southern Ocean. The study area spans the region managed by the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR). The northern boundary of this region is a line approximating the location of the Polar Front. The southern boundary was defined as the northern edge of the permanent ice shelf of the Antarctic continent. The shapefile can be used to identify three levels of the hierarchical classification (see Fig. 1 of Douglass et al., 2014): 1) Level 1: Ecoregions 2) Level 2b: Geomorphic features nested in each ecoregion 3) Level 3: Environmental Types The dataset cannot be used to analyse a level 2a nesting since for some geomorphic features (e.g. seamounts and canyons) the nested bathomes were combined when generating environmental types. If a level 2a nesting is required please contact douglass.lucinda@gmail.com The shapefile contains ten fields: EcoID- Abbreviated Level 1 benthic ecoregion names Ecoregion- Level 1 benthic ecoregion names Geomorph2- Geomorphic features BathID- Bathome identification number which can be used to sort the depth classes Bathome2 - Bathome EcoGeo- Level 2b nesting of geomorphic features in each ecoregion EnvTyp- Level 3 environmental types GeoClsID- Geomorphic class identification number GeoCls- Geomorphic classes Sqkm- Area in square kilometers

In March 2018, 23 environmental DNA (eDNA) samples (2 L of filtered seawater) were collected between Hobart, Tasmania and subantarctic Macquarie Island. These samples were processed using six different genetic metabarcoding markers targeting different taxonomic groups within the metazoan clade: A broad cytochrome c oxidase subunit I (COI) marker targeting all metazoans, and five different 16S markers targeting fish, cephalopods and crustaceans (one degenerate marker), fish (two markers of different lengths), cephalopods (one marker) and crustaceans (one marker). The aim of this study was to identify an ideal set of molecular markers to identify as many metazoan species as possible from small environmental samples, with a particular focus on vertebrates, crustaceans and cephalopods. The data and methods are described in the word file "V4 2018 eDNA group specific markers.docx", results are summarised in the excel file "Marker.detection.xlsx" and additional sample information is in the excel files "2018_11_07_eDNA-sample-info.xls" and "sample.map.csv". Each genetic marker used in this study has its own folder, containing the raw FASTQ sequencing data, the processed FASTA sequencing data, the bioinformatics processing pipeline, the zOTU fasta file, BLAST output, MEGAN output and curated zOTU table. For further explanations please refer to the word file "V4 2018 eDNA group specific markers.docx".

This research was a manipulative experiment on autoline ling vessels in the New Zealand ling fishery. The vessels were the Janas and the Avro Chieftain. The experiment examined both seabird bycatch data and fish catch data, as well as operational aspects of fishing with integrated weight longline. The data is a little bit complicated and it is essential that any users be familiar with the methodologies in the scientific paper that was published from the work. That will provide a lot of necessary guidance as well as a context for the research. The data covers 2002 and 2003, as indicated on the files. The data submitted includes relevant information of i) seabird by-catch; ii) catch rates of target fish; iii) catch rates on non-target fish. There is replication in some of the data sheets provided. There are headers in each data file that are explanatory.

This dataset contains results from the Aurora Australis Voyage 6 1990-91. Surveys of krill and other zooplankton were taken in Prydz Bay, Antarctica between January and February 1991. Species identity and abundance data, length, age, growth rate and mortality rate data were obtained. The major species investigated were Euphausia superba, Euphausia frigidia, Euphausia crystallorophias and Thysanoessa macrura. Other pteropods and cephalopods were also studied. This dataset is a subset of the full cruise.

A series of 6 sets of midwater trawls in Prydz Bay. Each trawl set took place over a 24 hour period to test the extent of diurnal vertical migration in P. antarcticum. Part of the KROCK cruise of Aurora Australis. These data have been incorporated into an 'historical fish database' available for download at the URL given below (Access Database). These data have also been included in the Australian Antarctic Data Centre's Biodiversity database, and have been submitted to GBIF and OBIS (Global Biodiversity Information Facility, and Ocean Biogeographic Information System). The fields in this dataset are: Species Cruise Start Date End Date Sampling Date Vessel Name Fishing Area Latitude Longitude Gear Length Weight Sex Gonad Weight Stomach Weight