CAFF - Arctic Biodiversity Data Service (ABDS)
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We present the first digital seafloor geomorphic features map (GSFM) of the global ocean. The GSFM includes 131,192 separate polygons in 29 geomorphic feature categories, used here to assess differences between passive and active continental margins as well as between 8 major ocean regions (the Arctic, Indian, North Atlantic, North Pacific, South Atlantic, South Pacific and the Southern Oceans and the Mediterranean and Black Seas). The GSFM provides quantitative assessments of differences between passive and active margins: continental shelf width of passive margins (88 km) is nearly three times that of active margins (31 km); the average width of active slopes (36 km) is less than the average width of passive margin slopes (46 km); active margin slopes contain an area of 3.4 million km2 where the gradient exceeds 5°, compared with 1.3 million km2 on passive margin slopes; the continental rise covers 27 million km2 adjacent to passive margins and less than 2.3 million km2 adjacent to active margins. Examples of specific applications of the GSFM are presented to show that: 1) larger rift valley segments are generally associated with slow-spreading rates and smaller rift valley segments are associated with fast spreading; 2) polar submarine canyons are twice the average size of non-polar canyons and abyssal polar regions exhibit lower seafloor roughness than non-polar regions, expressed as spatially extensive fan, rise and abyssal plain sediment deposits – all of which are attributed here to the effects of continental glaciations; and 3) recognition of seamounts as a separate category of feature from ridges results in a lower estimate of seamount number compared with estimates of previous workers. Reference: Harris PT, Macmillan-Lawler M, Rupp J, Baker EK Geomorphology of the oceans. Marine Geology.
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Figure 3-6. The hypothesized effects of rising mean water temperature on biodiversity (as total species number) of Arctic freshwater ecosystems. A pulsed increase in gamma biodiversity (a) results from the combination of high eurythermal invasion and establishment and low stenothermic loss with increasing water temperature. A pulsed decrease in gamma biodiversity (b) results from the combination of low eurythermal invasion and establishment and high stenothermic loss. Rapid increases (c) and slow increases (d) in species diversity occur, respectively, with high eurythermal invasion and establishment coupled with high stenothermic loss or low eurythermal invasion and establishment and low stenothermic loss as temperatures increase. For simplification, barriers to dispersal have been assumed to be limited in these models. State of the Arctic Freshwater Biodiversity Report - Chapter 3 - Page 23 - Figure 3-6
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Orgination of macrophyte data (axis labels should be changed from Dim1 to Axis I and from Dim2 to Axis II), with symbols/colours differing by region. State of the Arctic Freshwater Biodiversity Report - Chapter 3 - Page 55 - Figure 4-24
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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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<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&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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Locations of sub-Arctic and Arctic shipping accidents and incident causes, 1995-2004 (source: Arctic Marine Shipping Assessment 2009). Published in the Arctic Biodiversity Assessment (ABA) released in 2014.
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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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Benthic macro-infauna biomass in the northern Bering and Chukchi Seas from 1970 to 2012, displayed as decadal pattern Adapted from Grebmeier et al. (2015a) with permission from Elsevier. STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/benthos" target="_blank">Chapter 3</a> - Page 98 - Figure 3.3.6 Cumulative scores of benthos drivers for each of the 8 CAFF-AMAs. The cumulative scores are taken from the last column of Table 3.3.1. The flower chart/plot helps to visualize the data.
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Commercial fishery impact on zoobenthos of the Barents Sea. Figure A) Intensity and duration of fishery efforts in standard commercial fishery areas in the Barents Sea. The darker the area the longer the fishery has been in operation. Figure B) Level of decline in macrobenthic biomass between 1926-1932 and 1968-1970 calculated as 1-b1968/b1930. The largest biomass decreases correspond to the darker colour, whereas lighter colour refers to no change (Denisenko 2013). STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/benthos" target="_blank">Chapter 3</a> - Page 97 - Figure 3.3.4
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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