Temporal patterns in % abundance of Atlantic salmon, brown trout, and anadromous Arctic charr from catch statistics in Iceland rivers monitored from 1992 to 2016, showing results from (a) west, (b) south, (c) north, and (d) east Iceland. State of the Arctic Freshwater Biodiversity Report - Chapter 4 - Page 81 - Figure 4-41

Results of circumpolar assessment of river benthic macroinvertebrates, indicating (a) the location of river benthic macroinvertebrate stations, underlain by circumpolar ecoregions; (b) ecoregions with many river benthic macroinvertebrate stations, colored on the basis of alpha diversity rarefied to 100 stations; (c) all ecoregions with river benthic macroinvertebrate stations, colored on the basis of alpha diversity rarefied to 10 stations; (d) ecoregions with at least two stations in a hydrobasin, colored on the basis of the dominant component of beta diversity (species turnover, nestedness, approximately equal contribution, or no diversity) when averaged across hydrobasins in each ecoregion. State of the Arctic Freshwater Biodiversity Report - Chapter 4 - Page 67 - Figure 4-30

Figure 4-5 Terrestrial ecoregions that are included within the circumpolar region within the CAFF boundary and/or the ABA boundaries. Source: Terrestrial Ecoregions of the World (TEOW; Olson et al. 2001). State of the Arctic Freshwater Biodiversity Report - Chapter 4 - Page 28 - Figure 4-5

Trends and distribution of muskoxen populations based on Table 3-5. Modified from Cuyler et al. 2020. STATE OF THE ARCTIC TERRESTRIAL BIODIVERSITY REPORT - Chapter 3 - Page 79 - Figure 3.30

Box plot represents the homogeneity of assemblages in high Arctic (n=190), low Arctic (n=370) and sub-Arctic lakes (n=1151), i.e., the distance of individual lake phytoplankton assemblages to the group centroid in multivariate space. The mean distance to the centroid for each of the regions can be seen as an estimated of beta diversity, with increasing distance equating to greater differences among assemblages. State of the Arctic Freshwater Biodiversity Report - Chapter 4 - Page 48 - Figure 4-18

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.

Abundance (birds/km2) of least auklets in four regions (see map) of the eastern Chukchi Sea, 1975-1981 and 2007-2012, based on at-sea surveys (archived in the North Pacific Pelagic Seabird Database). Figures provided by Adrian Gall, ABR, Inc. and reprinted with permission. STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/seabirds" target="_blank">Chapter 3</a> - Page 138 - Box fig. 3.5.1 The shapefile outlines 4 regions of the eastern Chukchi Sea that were surveyed for seabirds during the open-water seasons of 1976-2012. We compared the density of seabirds in these regions among two time periods (1975-1981 and 2008-2012) to assess changes in seabird abundance over the past 4 decades. We also include a figure showing abundance of Least Auklets 1975-2012. Data are from the North Pacific Pelagic Seabird Database, maintained by the USGS (http://alaska.usgs.gov/science/biology/nppsd/index.php).

Average relative abundance of the main zooplankton groups (calanoid copepods, cyclopoid copepods, cladocerans) for the sub-Arctic (n=150), low- Arctic (n=154), and high-Arctic (n=55) regions. Samples with a single taxon have been excluded. State of the Arctic Freshwater Biodiversity Report - Chapter 4 - Page 61 - Figure 4-28

Trends in abundance of plankton Focal Ecosystem Components across each Arctic Marine Area. STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - Chapter 4 - Page 178 - Figure 4.2

<a href="http://caff.is/strategies-series/359-the-alaska-yukon-region-of-the-circumboreal-vegetation-map-cbvm" target="_blank"> <img width="150px" height="150px" alt="logo" align="left" hspace="10px" src="http://geo.abds.is/geonetwork/images/flora_logo.png"> </a>A map of boreal vegetation for the Alaska-Yukon region was developed to contribute to the circumboreal vegetation mapping (CBVM) project. The effort included developing a map of bioclimates with 12 bioclimate zones, a map of biogeographic provinces with Alaska-Yukon and Aleutian provinces, and a map of geographic sectors with six sectors that provided the basis for classification of boreal vegetation. Vegetation mapping was done at 1:7.5 million scale using the mapping protocols of the CBVM team. Mapping used MODIS imagery as the basis for manual image interpretation and an integrated-terrain-unit approach, which included classifications for bioclimate, physiography, generalized geology, permafrost, disturbance, growth from, geographic sector, and vegetation. Vegetation was mapped at two hierarchical levels: (1) formation group differentiating zonal and azonal systems; and (2) geographic sectors based on bioclimatic zonation and dominant species that characterize broad longitudinal regions or biogeographic provinces. Each of the 19 map units was described by identifying the dominant and characteristic species and its climatic and landscape characteristics, as well as references that relate to the unit.