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oceans

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    Time series of relative proportions of Arctic and Atlantic Calanus species in Kongsfjorden (top) and Rijpfjorden (bottom) (Source: MOSJ, Norwegian Polar Institute). STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/plankton" target="_blank">Chapter 3</a> - Page 77 - Figure 3.2.8

  • <img width="80px" height="67px" alt="logo" align="left" hspace="10px" src="http://geo.abds.is/geonetwork/srv/eng//resources.get?uuid=7d8986b1-fbd1-4e1a-a7c8-a4cef13e8eca&amp;fname=cbird.png">The Circumpolar Seabird Monitoring Plan is designed to 1) monitor populations of selected Arctic seabird species, in one or more Arctic countries; 2) monitor, as appropriate, survival, diets, breeding phenology, and productivity of seabirds in a manner that allows changes to be detected; 3) provide circumpolar information on the status of seabirds to the management agencies of Arctic countries, in order to broaden their knowledge beyond the boundaries of their country thereby allowing management decisions to be made based on the best available information; 4) inform the public through outreach mechanisms as appropriate; 5) provide information on changes in the marine ecosystem by using seabirds as indicators; and 6) quickly identify areas or issue in the Arctic ecosystem such as declining biodiversity or environmental pressures to target further research and plan management and conservation measures. - <a href="http://caff.is" target="_blank"> Circumpolar Seabird Monitoring plan </a>

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    A dataset compiling all known terrestrial haul-out sites for the Atlantic walrus. The dataset comprises of the following documents: (1) the database in .csv format: walrus_haulout_database_Atlantic_caff_v4.csv; (2) the database in .shp format: walrus_haulout_database_Atlantic_caff_v4.shp; and (3) a user guidance document: user_guidance_atlantic_walrus_db.docx. The dataset will be updated annually. The latest update was 14th May 2025.

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    The number of key sites (monitored colonies) for seabirds (in 22 CSMP ecoregions) by country (a total of 125 sites). Sites are categorized as having fully, partially, or not met the CSMP criteria for parameters monitored (see 2.6.2). Data were from Appendix 3 of the CSMP (Irons et al. 2015); the degree of implementation may have changed at some sites since this summary was compiled. STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/seabirds" target="_blank">Chapter 3</a> - Page 134 - Figure 3.5.2

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    The Arctic Basin where suggested future long-term monitoring of trawl-megafauna should capture possible changes along the flow of the Arctic Circumpolar Boundary Current (Figure A, blue line) and the Arctic deep-water exchange (Figure b, green line). Adapted from Bluhm et al. (2015). STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/benthos" target="_blank">Chapter 3</a> - Page 88 - Figure 3.3.1

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    Assessment of monitoring implementation STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/marine-mammals" target="_blank">Chapter 3</a> - Page 168 - Table 3.6.2

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    Figure 3.2.2a: Relative abundance of major eukaryote taxonomic groups found by high throughput sequencing of the small-subunit (18S) rRNA gene across Arctic Marine Areas. Figure 3.2.2b: Relative abundance of major eukaryote functional groups found by microscopy in the Arctic Marine Areas. STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/plankton" target="_blank">Chapter 3</a> - Page 70 - Figures 3.2.2a and 3.2.2b

  • In 2012 and 2013, Fisheries and Oceans Canada conducted benthic imagery surveys in the Davis Strait and Baffin Basin in two areas then closed to bottom fishing, the Hatton Basin Voluntary Closure (now the Hatton Basin Conservation Area) and the Narwhal Closure (now partially in the Disko Fan Conservation Area). The photo transects were established as long-term biodiversity monitoring sites to monitor the impact of human activity, including climate change, on the region’s benthic marine biota in accordance with the protocols of the Circumpolar Biodiversity Monitoring Program established by the Council of Arctic Flora and Fauna. These images were analyzed in a techncial report that summarises the epibenthic megafauna found in seven image transects from the Disko Fan Conservation Area. A total of 480 taxa were found, 280 of which were identified as belonging to one of the following phyla: Annelida, Arthropoda, Brachiopoda, Bryozoa, Chordata, Cnidaria, Echinodermata, Mollusca, Nemertea, and Porifera. The remaining 200 taxa could not be assigned to a phylum and were categorised as Unidentified. Each taxon was identified to the lowest possible taxonomic level, typically class, order, or family. The summaries for each of the taxa include their identification numbers in the World Register of Marine Species and Integrated Taxonomic Information System’s databases, taxonomic hierarchies, images, and written descriptions. The report is intended to provide baseline documentation of the epibenthic megafauna in the Disko Fan Conservation Area, and serve as a taxonomic resource for future image analyses in the Arctic. Baker, E., Beazley, L., McMillan, A., Rowsell, J. and Kenchington, E. 2018. Epibenthic Megafauna of the Disko Fan Conservation Area in the Davis Strait (Eastern Arctic) Identified from In Situ Benthic Image Transects. Can. Tech. Rep. Fish. Aquat. Sci. 3272: vi + 388 p.

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    Abundance of the copepod Calanus glacialis in the Chukchi Sea, 1945-2012 (after Ershova et al. 2015b). STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/plankton" target="_blank">Chapter 3</a> - Page 75 - Figure 3.2.6

  • For the background of data production and data interpretation we refer to the PAME report “Modelling Arctic oceanographic connectivity to further develop PAME’s MPA toolbox”. The uploaded data consist of two main types: 1. Connectivity matrices describing the seascape connectivity in the model domain consisting of 40893 model grid cells. The connectivity matrices describe the probability of dispersal between any two selected model grid cells. 2. GIS shape files of dispersal distance (km) from each model grid cell within the model domain.