The dataset contains boundaries of nest areas of surface nesting flying seabirds at numerous breeding sites across Prydz Bay, Antarctica. The sites are at islands in the Rauer Group, the Svenner Islands and two islands (Bluff Island and Gardner Island) off the Vestfold Hills. The boundary data were obtained from aerial photos of slopes where flying seabirds had been previously observed. The aerial photos were taken on 1 December 2017. Marcus Salton and Kim Kliska conducted the aerial photography and delineated the GIS boundaries representing the nesting areas. The database of potential Adelie penguin breeding habitat as described by the metadata record 'Sites of potential habitat for breeding Adelie penguins in East Antarctica' (http://data.aad.gov.au/metadata/records/AAS_4088_Adelie_Potential_Habitats) was used to associate flying seabird nest areas to a particular island and to structure how the boundaries are stored. The Adelie penguin breeding site database has a unique identifying code for every island in East Antarctica, and the islands are aggregated into spatial sub-groups and then spatial groups. The file structure in which the boundaries are stored has a combination of ‘island’, ‘sub-group’ and ‘spatial group’ (or region) at the top level (eg VES_SG_10 contains all boundaries in spatial group VES (Vestfold Hills and islands) and sub-group 10). Within each sub-group folder are folders for each island where photos were taken (eg IS_72276 is Gardner Island in the VES_SG_10 group). The data is comprised of: (i) a polygon shapefile for each island on which flying bird nest areas were observed; and (ii) a single polygon shapefile for each of Rauer Group, Svenner Islands and Vestfold Hills in which the polygons in (i) are combined. The polygons in the shapefiles have a Type attribute with values ranging from A to E. A = Nests present B = Searched and no nests present C = Nests or salt stains (the investigators were unable to decide whether what they were seeing was nests or salt stains) D = Snow cover E = Not searched

The dataset contains boundaries of Cape petrel nesting areas at numerous breeding sites on islands off the Vestfold Hills, Antarctica. Boundaries of nesting sites were obtained from aligning ground observations and photographs from land or the sea-ice adjacent to the breeding sites onto maps of islands in the region. The observations were made and the photographs taken between 18 and 30 November 2017. Marcus Salton and Kim Kliska made the ground observations, took the photographs and delineated the GIS boundaries representing the nesting areas. The data is a polygon shapefile with each polygon designated Type A or Type B. Type A indicates nests present. Type B indicates this area was searched and no nests were present. Also included are three images showing the Type A polygons and the associated nest counts. Please refer to the Seabird Conservation Team Data Sharing Policy for use, acknowledgement and availability of data prior to downloading data.

This indicator is no longer maintained, and is considered OBSOLETE. INDICATOR DEFINITION The northern limit of the pack ice as defined by the 15% concentration of sea ice determined by the SSM/I instrument or its replacement. TYPE OF INDICATOR There are three types of indicators used in this report: 1.Describes the CONDITION of important elements of a system; 2.Show the extent of the major PRESSURES exerted on a system; 3.Determine RESPONSES to either condition or changes in the condition of a system. This indicator is one of: CONDITION RATIONALE FOR INDICATOR SELECTION Climate is affected by complex interactions between the sea ice and the atmosphere and ocean. The sea ice extent and concentration is determined by the oceanic and atmospheric forcing. There is evidence of variations in the sea ice extent and concentration on a synoptic time scale as storms pass through the region, and variations in sea ice extent on a multi-year time frame with forcing caused by the Antarctic circumpolar wave. Over the past 20 years, there is limited evidence of an increase in spatial ice extent and in the length of time that ice is present. Continued monitoring of sea ice extent and concentration may provide insights into the dynamics of the Southern Ocean and help to predict future climate. DESIGN AND STRATEGY FOR INDICATOR MONITORING PROGRAM NASA uses a combination of satellite passive microwave sensors to measure the brightness values over sea ice covered regions. They then use an algorithm (referred to as the 'team' algorithm) to calculate the ice concentration and to determine the ice edge. The data are available globally on a daily or monthly basis. RESEARCH ISSUES Currently, NASA intends to maintain a series of satellite microwave sensors to continue to monitor sea ice extent and concentration. Ongoing research to interpret the data are currently being carried out at the AAD and the Antarctic and Southern Ocean CRC. Links with other indicators The sea ice extent and concentration has a large impact on the surface salinity and temperatures. Thus strong links with sea surface salinity and sea surface temperatures.

This database is a compendium of histories of known age seals (Weddell) from observations across the Southern Ocean but focussed on the Windmill Islands, Mawson and the Vestfold Hills. Although the following information pertains to Elephant Seals, it is assumed similar procedures were undertaken with the Weddell Seals between 1973 and 2006: At Macquarie Island 1000 seals were weighed per annum between 1993-2003 at birth and individually marked with two plastic flipper tags in the inter-digital webbing of their hind flippers. These tagged seals were weighed again at weaning, when length, girth, fat depth, and flipper measurements were made. Three weeks after weaning 2000 seals were permanently and individually marked by hot-iron branding. Recaptures and re-weighings of these known aged individuals were used to calculate growth and age-specific survival of the seals. Similar data were collected from elephant seals between 1950 and 1965 when seals were individually marked by hot-iron branding. Mark-recapture data from these cohorts were used to assess the demography of the declining population. Length and mass data were also collected for these cohorts and were used, for the first time, to assess the growth of individual seals without killing them. The database was held by the Australian Antarctic Data Centre, but was taken offline due to maintenance problems. A snapshot of the database was taken in June 2018 and stored in an access database. This work was completed as part of ASAC project 90.

This indicator is no longer maintained, and is considered OBSOLETE. INDICATOR DEFINITION All known observations of seabird strikes are recorded upon observation at Australian Antarctic Stations and on ships travelling in the Southern Ocean. TYPE OF INDICATOR There are three types of indicators used in this report: 1.Describes the CONDITION of important elements of a system; 2.Show the extent of the major PRESSURES exerted on a system; 3.Determine RESPONSES to either condition or changes in the condition of a system. This indicator is one of: PRESSURE RATIONALE FOR INDICATOR SELECTION Human presence in the Antarctic has led to the creation of many stations located around the continent. In many cases, these stations are sited close to seabird colonies. Birds have struck station buildings, radio masts, etc. Further, seabird strikes are reported from resupply and research vessels. In recent decades, there have been observations made of bird strikes, particularly colliding with station infrastructure, remote installations and supporting infrastructure and ship-based transport to the continent. Whilst the data are not considered to be comprehensive or highly rigorous, it is envisaged that recording of bird strikes may facilitate useful analysis in the future. DESIGN AND STRATEGY FOR INDICATOR MONITORING PROGRAM Spatial scale: Southern Ocean: 40S to the Antarctic continent, Mawson, Davis, Casey, Macquarie Island, Heard Island, field camps, and summer expeditions. Frequency: Annual. Measurement technique: Observation of bird strikes at Australian Antarctic Stations and at sea. RESEARCH ISSUES The accuracy of the data are likely to be limited as it depends upon the detection of bird strikes by actual observation of the strike as it occurs, or the discovery of bird carcasses near the structure with which it collided. LINKS TO OTHER INDICATORS SOE Indicator 29 - Breeding population of the Southern Giant Petrel at Heard Island, the McDonald Islands and within the AAT SOE Indicator 37 - Species and numbers of species killed, taken or interfered with or disturbed in the Antarctic and the sub-Antarctic for the purpose of scientific research SOE Indicator 46 - Annual tourist ship visits and tourist numbers SOE Indicator 48 - Station and ship person days SOE Indicator 76 - Monthly fuel usage of ships travelling to Australian Antarctic Stations

Handdrawn maps plotting the ships position over time, with notes recording the sea ice and icebergs observed for each plotted point. Also includes sketches of the ice edge and some fast ice positions for the area around where the ship was travelling. The maps are archived at the Australian Antarctic Division.

This dataset contains iceberg observations collected routinely on Australian National Antarctic Research Expeditions (ANARE) by Antarctic expeditioners on a volunteer basis. The observations were made each austral summer from the 1978/1979 season until the 2000/2001 season. Data included voyage number, date, time, latitude, longitude, sea ice concentration, water temperature, total icebergs, number of icebergs in each width category, the width to height ratio of selected larger tabular icebergs. It was been compiled and presented on the web by the Glaciology program of the Antarctic CRC (now ACE CRC).

Metadata record for data from ASAC Project 2500 See the link below for public details on this project. Public Weekly fast-ice and snow thicknesses from an ongoing long-term time-series together with meteorological data will be used to analyse ice-atmosphere interactions. Interannual changes will be related to climate effects. Various sites at each location will be sampled to resolve the influence of oceanic forcing on the fast-ice growth. Project objectives: Landfast sea ice (fast ice) forms on the near-coastal ocean off each of the three Australian Antarctic stations each autumn. At Mawson and Davis stations this ice cover is generally stable, increasing in thickness throughout the winter to reach its maximum thickness in October or November before decaying and eventually breaking out in late spring or summer [Heil and Allison, 2002a]. At Casey, the third Australian station, the fast-ice cover is very unstable and not suitable for the study proposed here. The fast ice at the proposed measuring sites is stationary all through the austral winter. There is no contribution due to mechanical processes (rafting or ridging) on the thickness evolution of the fast ice at the measuring sites [Heil, 2001]. Its growth and decay, and the annual maximum thickness depend primarily on thermodynamic processes [Heil et al., 1996], which are forced by energy and moisture exchanges at the atmosphere-ice interface, the thickness of the snow cover, and the thermal energy supplied to the underside of the ice from the ocean. Starting in the mid 1950s measurements of the fast-ice thickness and snow cover are available for individual years at Mawson and Davis stations. After quality control the combined record for Mawson includes data from 27 seasons; the Davis record includes 20 seasons [Heil and Allison, 2002a]. However, significant gaps exist in these historic records. The scientific value of a continuous record of fast-ice thickness as a climatic indicator has been recognised and as a consequence the fast-ice and snow measurements at Davis and Mawson have been accepted into the State of the Environment (SOE) reporting scheme by the Australian Antarctic Division. Data from ANARE fast-ice measurements have been included in scientific research (e.g., Mellor [1960], Allison [1981], Heil et al. [1996], or Heil and Allison [2002a]). For example, Heil et al. [1996] designed an inverse 1-dimensional thermodynamic sea-ice model and used historic fast-ice data from Mawson together with meteorological observations to derive the seasonal and interannual variability of the oceanic heat flux at the underside of the fast ice. They showed that the interannual variability identified from the fast-ice data was in agreement with changes in the water-mass properties observed upstream of the fast-ice site. Using the historic data together with data from ongoing measurements this project aims to quantify the local-scale interactions between atmosphere and fast ice, to derive the relative impact of oceanic forcing on the fast-ice evolution, to estimate the small-scale spatial variability of the fast-ice growth, and to explore the connection between fast-ice changes and climate change. In particular we aim: - to extend previous analysis from records of fast-ice observations for Mawson and Davis stations; - to exactly determine the growth-melt cycle of East Antarctic fast ice and its modifications due to changing environmental conditions; - to derive the statistical variability of the fast-ice evolution relative to atmospheric and oceanic forcing; - to evaluate the suitability of fast ice as indicator of changes in the Antarctic environment; - to determine the spatial coherence of fast-ice properties. Contribution of this research to achieving the relevant milestones contained in the Strategic Plan: - Contributions to Key Scientific Output 3: This research aims to derive an assessment of the links between fast-ice variability and Southern Hemisphere environmental conditions from in-situ observations. The annual maximum ice thickness, and the date at which this maximum thickness is reached, reflect the integrated conditions of the local atmospheric and oceanic parameters [Heil, in prep.]. The fast-ice measurements together with concurrent meteorological (and oceanic) observations will allow us to study the direct links of variability in the sea-ice thermodynamics to changes in the Southern Hemisphere atmospheric conditions ("weather" in KSO 3.1). This knowledge will aid our understanding of the interannual and long-term variability of the drifting sea ice, as it will allow us to separate thermodynamic effects from dynamic effects [Heil et al., 1998]. Research outcomes from this study will aid the parameterisation of thermodynamic sea-ice processes in coupled climate models, and will provide an outlook towards statistical parameterisation of fast-ice characteristics within numerical models. - Contributions to Key Scientific Output 4: Using historic data and ongoing measurements this project seeks to build an accurate and ongoing record of measurements of fast-ice and snow properties for the monitoring and detection of change in Antarctic and Southern Ocean climate. Changes identified in the fast-ice thickness or in the occurrence of the annual maximum ice thickness are due to changes in either oceanic or atmospheric heat and/or moisture transfer. Using fast-ice measurements from locations around the Antarctic continent in combination with large-scale atmospheric (and oceanic) data the external impact on the sea ice can be extrapolated. Historic climatologies of interannual variability will be updated and extended. These climatologies will be available to expedition operations, scientific research, etc. Assessment basis: * Completion of field work/primary scientific activity: The requirements of data collection for this project are in line with indicator No. 43 "Fast ice thickness at Davis and Mawson" of the State of the Environment (SOE) reporting scheme. Weekly measurements of fast-ice and snow thicknesses are required for the SOE scheme as well as for this project. Additional data on the freeboard of the ice are easily and quickly obtained during the standard measurements [Heil and Allison, 2002b]. It is worthwhile to emphasise the requirement of a long-term commitment for the field measurements in order to obtain meaningful and statistically significant records of fast-ice observations. * Completion of analysis: The evaluation of individual growth-decay seasons will be undertaken once all fast-ice data as well as all required auxiliary data (mainly meteorological measurements) are available to the CI. Where available, opportunistic oceanographic data will be acquired as part of related research projects. Analysis to assess the interaction between fast ice, atmosphere and ocean will be carried out for each growth-decay season. This will include numerical modelling of the thermodynamic processes in fast-ice growth and decay. For years, when measurements of all external forcing fields (oceanic and atmospheric) have been collected, the parameterisations of the thermodynamic model can be evaluated by comparing the model results with the observed fast-ice thickness and growth rates. Following Heil et al. [1996] the thermodynamic model can be reconfigured for use in the inverse mode, using atmospheric and fast-ice data to calculate the oceanic heat flux at the underside of the ice. Long-term records of changes in the oceanic heat flux are not available and this inverse method (driven with data derived from meteorological and fast-ice measurements) will be able to contribute to our understanding of coastal oceanography by using several measuring sites within a small area. Analysis of the interannual variability of the fast ice and its response to changing environmental conditions will be carried out on the long-term data record. The data will be analysed for long-term signals, and will be evaluated for their statistical significance. * Publication of results: Scientific findings will be written up and submitted for publication as they arise. Publications in high-impact international journals are expected about every 2 years.

This GIS dataset contains bird data from 1998/99 field work in the Windmill Islands by Jonny Stark and Jeroen Creuwels. The locations are Frazier Islands, Ardery Island and Casey station. Polygon data represents the extents of flying bird nesting areas and adelie penguin colonies. Point data represents flying bird nest locations.

Scans from one or more field books from observations made at Macquarie Island between 1962 and 1968. The observations were of Royal Penguins, and also of Skua predation and band resights. The following names have been mentioned in the scans: Susan Ingham John Warham John Ling David Nicolls I.T. Simpson Duncan Mackenzie Peter Shaughnessy D. Edwards R.Carrick Merilees Kerry Peter Ormay Schmidt Major S. Harris