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Figure 3-1 Long-term trends in ice duration (as days) in the River Torne (upper plot) and Lake Torneträsk (lower plot) at 68° north on the Scandinavian peninsula. Lines show smooth fit. Data source: Swedish Meteorological and Hydrological Institute. State of the Arctic Freshwater Biodiversity Report - Chapter 3 - Page 19 - Figure 3-1
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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
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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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Figure 3-5 Changes in alpha diversity (red line), predator body size (blue dashed line), and ecosystem metabolism (blue solid line) with a shift in glacial cover from high (left) to low (right). Redrawn from Milner et al. (2017). State of the Arctic Freshwater Biodiversity Report - Chapter 3 - Page 22 - Figure 3-5
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Spatial distribution of hillslope thermokarst across the circumpolar area, overlain with ecoregions used in the SAFBR analysis, showing no, low, moderate, and high thermokarst. Source for thermokarst layer: Olefeldt et al. (2016) State of the Arctic Freshwater Biodiversity Report - Chapter 4 - Page 90 - Figure 5-7
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Vegetation indices quantify the concentrations of green leaf vegetation (chlorophyll)around the globe, in an attempt to monitor and correlate vegetation health and stress. The MODIS vegetation products include the Normalized Difference Vegetation Index (NDVI)and an Enhanced Vegetation Index (EVI). Included in the MOD13C1 product is both NDVIand EVI, so both have been provided for the CAFF Dedicated Pan-Arctic Satellite RemoteSensing Products and Distribution System. These indices come in a variety of resolutions,but MTRI has provided a monthly global composite on a 0.05° Climate Model GRID(CMG).
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Many population counts of gregarious migrant species, such as waders and geese, take place along the flyways and at wintering grounds outside the Arctic which stresses the importance of continued development of movement ecology studies. Monitoring of FEC attributes related to breeding success and links to environmental drivers within the Arctic takes place in a wide network of research sites across the Arctic, although with low coverage of the high Arctic zone (Figure 3-25) STATE OF THE ARCTIC TERRESTRIAL BIODIVERSITY REPORT - Chapter 3 - Page 58 - Figure 3.25
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<img src="http://geo.abds.is/geonetwork/srv/eng//resources.get?uuid=59d822e4-56ce-453c-b98d-40207a2e9eec&fname=cbmp_small.png" alt="logo" height="67px" align="left" hspace="10px"> The Arctic marine data set contains a total of 111 species and 310 population time series from 170 locations. Species coverage is about 34% of Arctic marine vertebrate species (100% of mammals, 53% of birds, and 27% of fishes) (Bluhm et al. 2011). At the species level, even though the representation of Arctic fish species is lower than that of mammals and birds, the data are dominated by fishes, primarily from the Pacific Ocean (especially the Bering Sea and Aleutian Islands). However, there are more population time series in total for bird species, which is reflective of this group being both better studied historically and also monitored at many small study sites compared to fish and marine mammal species, which are regularly monitored at a much larger scale through stock management. Note that the time span selected for marine analyses is 1970 to 2005 (compared with 1970 to 2007 for the ASTI for all species). CAFF Assessment Series No. 7 April 2012 - <a href=http://caff.is/asti/asti-publications/28-arctic-species-trend-index-tracking-trends-in-arctic-marine-populations" target="_blank"> The Arctic Species Trend Index - Tracking trends in Arctic marine populations </a>
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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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Bacteria and Archaea across five Arctic Marine Areas based on number of operational taxonomic units (OTUs), or molecular species. Composition of microbial groups, with respective numbers of OTUs (pie charts) and number of OTUs at sampling locations (red dots). Data aggregated by the CBMP Sea Ice Biota Expert Network. Data source: National Center for Biotechnology Information’s (NCBI 2017) Nucleotide and PubMed databases. STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/sea-ice-biota" target="_blank">Chapter 3</a> - Page 38 - Figure 3.1.2 From the report draft: "Synthesis of available data was performed by using searches conducted in the National Center for Biotechnology Information’s “Nucleotide” (http://www.ncbi.nlm.nih.gov/guide/data-software/) and “PubMed” (http://www.ncbi.nlm.nih.gov/pubmed) databases. Aligned DNA sequences were downloaded and clustered into OTUs by maximum likelihood phylogenetic placement."
CAFF - Arctic Biodiversity Data Service (ABDS)