Environmental

Select environmental layer:

Select Antarctic Circumpolar Current Fronts:

Select color of selected layer:

Detailed coastlines?:

Color toothfish fishable area:

Select color of labels:

Sea Ice

Sea Ice Date

Select color of ice layer:

Monthly sea ice data from NSIDC

This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. The CDR algorithm output is a rule-based combination of ice concentration estimates from two well-established algorithms: the NASA Team (NT) algorithm (Cavalieri et al. 1984) and the NASA Bootstrap (BT) algorithm (Comiso 1986). The CDR is a consistent, daily and monthly time series of sea ice concentrations from 25 October 1978 through the most recent processing for both the north and south polar regions. All data are on a 25 km x 25 km grid. Note: A near-real-time version of this data set also exists to fill the gap between the time that this data set is updated through to the present. The data set is called the Near-Real-Time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (https://nsidc.org/data/g10016).

Data downloaded from https://nsidc.org/data/g02202/versions/4

Management Areas

Select layer:

Select the acoustic transect layer:

Layer color:

Layer transparency:

Select layer:

Select color GPZ:

Select color SRZ:

Select transparency GPZ:

Select transparency SRZ:

Label color:

Acoustic Stations

Select the stations layer:

Station layer color :

Station label color:

Only active Toothfish Fishery Research Blocks?

Archived SASS areas

Krill Fishery Data

Select layer:

Fishing season:

Fishing months:

Winter or Summer:

Trawl technique:

Select transparency of selected layer:

CCAMLR aggregated krill catch data

CCAMLR krill catch data are aggregated in 1000 square kilometer grid cells from fishing season 1989 onwards. The data can be filtered by fishing season and by summer (October to March) and Winter (April to September).

Fishing season:

Fishing months:

Winter or Summer:

Trawl technique:

Select transparency of selected layer:

CCAMLR aggregated krill fishery trawling effort data

CCAMLR krill fishery trawling effort data are aggregated in 1000 square kilometer grid cells from fishing season 1989 onwards. The data are calculated as the sum of the number days during which a vessel conducted fishing activities in the grid cell. The data can be filtered by fishing season and by summer (October to March) and Winter (April to September).

Fishing season:

Fishing months:

Winter or Summer:

Trawl technique:

Minimum tonnes of krill caught in gridcell:

Minimum number of fishing days in gridcell:

Select transparency of selected layer:

CCAMLR aggregated krill catch per effort data

CCAMLR krill catch per fishing day are calculated as the total catch in the 1000 square kilometer grid cell divided by number days during which a vessel conducted fishing activities in the grid cell. The aggregated data are provided from fishing season 1989 onwards and can be filtered by fishing season and by summer (October to March) and Winter (April to September).

Fishing season:

Select transparency of selected layer:

CCAMLR transshipment data

The CCAMLR transshipment data are aggregated in 1000 square kilometer grid cells from fishing season 2015 onwards. The data include all tansshipments, including fuel, kril, and all other goods. The data can be filtered by fishing season.

Toothfish Fishery Data

Select layer:

Fishing season:

Fishing months:

Select transparency of selected layer:

CCAMLR aggregated toothfish catch data

CCAMLR toothfish catch data are aggregated in 1000 square kilometer grid cells from fishing season 1989 onwards. The data can be filtered by fishing season and month.

Fishing season:

Fishing months:

Select transparency of selected layer:

CCAMLR aggregated toothfish fishery effort data

CCAMLR toothfish effort data (as kilometer of mainline set) are aggregated in 1000 square kilometer grid cells from fishing season 1989 onwards. The data can be filtered by fishing season and month.

Fishing season:

Fishing months:

Select transparency of selected layer:

CCAMLR aggregated toothfish catch per effort data

CCAMLR toothfish kg catch per kilometer of mainline set data are aggregated in 1000 square kilometer grid cells from fishing season 1989 onwards. The data can be filtered by fishing season and month.

Toothfish taxon code:

Fishing season:

Fish length:

Select transparency of selected layer:

CCAMLR otolith data

Positions where otoliths where collected are aggregated in 4000 square kilometer grid cells from fishing season 1996 onwards. The data can be filtered by fishing season and toothfish length.

COMNAP Antarctic Facilities

Year established:

Select station primary operator:

Select station type:

Select station seasonality:

Select station status:

Station elevation (m):

Select color of station layer:

COMNAP Antarctic Facilities

The Council of Managers of National Antarctic Programs (COMNAP) maintains a curated list of Antarctic facilities (stations, camps, etc.).
The COMNAP Antarctic Facilities is a comprehensive list of Antarctic facilities with a status of Open or Temporarily Closed. The information included in the datasets was provided by each National Antarctic Program to COMNAP and is updated frequently. COMNAP will release scheduled updates of this dataset. If you would like to be notified of changes, you can watch this repository.

COMNAP 2024 Version 3.5.0 downloaded from Polar Geospatial Center github repository pages at - https://github.com/PolarGeospatialCenter/comnap-antarctic-facilities/

Deployed moorings

Year mooring operational:

Select color of mooring layer:

SOOS Mooring Network.

Data downloaded from SOOS map - http://www.soosmap.aq/

CEMP sites

Year CEMP site monitored:

Taxon name:

Select color of cemp layer:

CCAMLR monitored CEMP sites

In order to manage the commercial harvesting of Antarctic marine living resources in accordance with the ‘ecosystem approach’ that is embodied in Article II of the CAMLR Convention, the effects of fishing on harvested species (target species) as well dependent species and associated species need to be taken into account.

Dependent species are those species that feed on the target species or are impacted by the removal of the targets species from the food web. Associated species are typically those that are impacted directly by the action of fishing e.g. through by-catch or incidental mortality.

In order to provide information of the effects of fishing on dependent species, CCAMLR set up the CCAMLR Ecosystem Monitoring Program (CEMP) in 1989.

The indicator-species used in the CEMP program are:

adélie penguin (Pygoscelis adeliae)
chinstrap penguin (P. antarctica)
gentoo penguin (P. papua)
macaroni penguin (Eudyptes chrysolophus)
black-browed albatross (Thallasarche melanophrys)
Antarctic petrel (Thalassoica antarctica)
cape petrel (Daption capense)
Antarctic fur seal (Arctocephalus gazella).

Some krill-dependent species, such as crabeater seal (Lobodon carcinophagus), while considered likely to respond to changes in krill availability, have not been used in monitoring because they live in the pack-ice and so are not amenable to repeated/annual monitoring.

CCAMLR data. More information at https://www.ccamlr.org/science/ccamlr-ecosystem-monitoring-program-cemp

Data available from
https://github.com/ccamlr/data/tree/main/geographical_data/cemp

Penguin populations

Year penguin colony observed:

Penguin species:

Select color of penguin layer:

MAPPPD Penguin populations

This layer provides penguin population counts from the MAPPPD (Mapping Application for Penguin Populations and Projected Dynamics) project. The project uses advanced modelling techniques to detect and count penguin colonies from remote sensing data. http://www.penguinmap.com/
Users may not copy or use material or data from MAPPPD for commercial use, except for use by the media, by Antarctic expedition operators or with the express written consent of Oceanites.

Version V_4_3

Layer downloaded from mapppd - https://www.penguinmap.com/mapppd

Albatross and petrel nest sites

Albatros/petrel species:

Select color of albatross layer:

ACAP Albatross nesting sites

In February 2013, ACAP Latest News commenced posting a series of brief accounts describing breeding sites of ACAP-listed species. In considering what constitutes a breeding site, differences in conservation management procedures have been taken into account. However, with some exceptions, the usual defining unit has been an individual island. Extinct and translocation sites are also being covered. A breeding site account usually give information on the following:

Name
Locality and ownership
Description (size, height, vegetation)
ACAP-listed species/subspecies that breed with a summary of what is known of their population size(s) and trend(s); including most recent count(s) of breeding pairs
Research and conservation activities
Conservation status (national and international)
Conservation needs/threats
Selected references
Links

The accounts are illustrated with photos usually depicting an overall view, habitat at the breeding site, a breeding colony and close-ups of individual birds.

More info available from https://www.acap.aq/resources/acap-breeding-sites

Data downloaded from https://data.acap.aq/search_sites.cfm

VME data

VME site type:

Select color of vme layer:

CCAMLR Vulnerable Marine Ecosystem Data

The CCAMLR Conservations Measures currently define the following types of Vulnerable Marine Ecosystems (VME) areas:

Registered VMEs: These are areas listed by CM 22-09 or VME encountersreported by members, following the procedures outlined in CM 22-06, paragraphs 6 to 8, later endorsed to be added to the VME registry by the Scientific Committee and Commission.
VME risk areas: These areas are created based on vessel notifications, following the procedures specified in CM 22-07, paragraph 4.
VME fine-scale rectangles: These rectangles are established after vessel notifications, in accordance with the procedures outlined in CM 22-07, paragraphs 5 and 7.

Data are availbale at https://vmeregistry.ccamlr.org/

Acoustic Krill Surveys

Select acoustic survey:

CCAMLR Acoustic Krill Surveys

Data overview:

The data provided are derived from those used to produce Figure 2 within Freer et al. 2023 (WG-EMM-2023/34). They represent acoustic-derived krill density estimates during the 2000 and 2019 Scotia Sea synoptic surveys. Specifically, we provide one dataset for the 2000 survey (all transects carried out at daytime) and two datasets for the 2019 survey (combined day+night transects, daytime only transects). Survey methodologies differed between years which is important when interpreting and comparing their observations. For a full comparison of synoptic survey methods, see Krafft et al. (2021) and Macaulay et al. (2019).

Methods used to aggregate and transform the data:

Acoustic data from both surveys were apportioned to krill and non-krill, using either a three-frequency variable window identification technique (2000) or a Swarms detection algorithm (2019), and then converted to wet weight density via a validated target strength model. Krafft et al. (2021) provide some evidence that the choice of discrimination method had only a minor effect on the estimated krill areal density and this on total biomass estimates. Estimates of krill biomass density (g m-2; hereafter referred to as krill biomass) were available at 1 nautical mile (1 nm; 1.85 km) intervals along each transect for both survey years. To minimize any effect of spatial heterogeneity in the krill data, we follow the method of Silk et al. (2016) to aggregate the 1nm data to an 80nm spatial resolution. To do so, individual 1nm reset values were averaged at 80nm bins for each unique stratum+transect category. Aggregated points consisting of less than ten 1nm reset values were excluded. Data for the 2019 survey were aggregated in two ways. Firstly, aggregating all transects conducted in both daytime and nighttime. Secondly, aggregating only daytime transects to be consistent with the 2000 survey. Absolute krill biomass (Figure 1) was transformed to relative biomass (Figure 2, i.e. biomass divided by total biomass such that the sum of the relative biomasses in each analysis was 1). Relative biomass values were rescaled to the range of 0-1 (Figure 3). For the purposes of this viewer, data points were subsequently cropped to retain only those data falling within CCAMLR subareas 48.1 and 48.2.

Spatial overlap analysis

Select layer:

Select spatial overlap scenario:

Select color:

Select transparency:

Winter or Summer:

Early or Late:

Winter or Summer:

Select alpha level version:

Select alpha level layer:

Proposed Marine Protected Areas

Select layer:

Select color GPZ:

Select color SPZ:

Select color GPZ SWAP Shelf:

Select color TBD zone:

Select transparency GPZ:

Select transparency SPZ:

Select transparency GPZ SWAP Shelf:

Select transparency TBD zone:

Select layer:

Select color GPZ:

Select color SPZ:

Select transparency GPZ:

Select transparency SPZ:

Select layer:

Select color GPZ:

Select color SPZ:

Select color SRA:

Select color FRZ:

Select transparency GPZ:

Select transparency SPZ:

Select transparency SRA:

Select transparency FRZ:

Select layer:

Select color GPZ:

Select color SRZ:

Select transparency GPZ:

Select transparency SRZ:

Select layer:

Select color Mac. Robertson:

Select color Drygalski:

Select color D’Urville Sea-Mertz:

Select transparency Mac. Robertson:

Select transparency Drygalski:

Select transparency D’Urville Sea-Mertz:

Label color: