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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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    Data sets from Greenland, Iceland and Norway on coastal geomorphology has been used as basis for designating coastscapes and which data were used as basis for developing a map layer and analyses of the coastscape distributions for the three countries. In accordance with classifications provided in the CBMP Coastal Biodiversity Monitoring Plan (https://oaarchive.arctic-council.org/handle/11374/2356)

  • The U.S. National Ice Center (NIC) is an inter-agency sea ice analysis and forecasting center comprised of the Department of Commerce/NOAA, the Department of Defense/U.S. Navy, and the Department of Homeland Security/U.S. Coast Guard components. Since 1972, NIC has produced Arctic and Antarctic sea ice charts. This data set is comprised of Arctic sea ice concentration climatology derived from the NIC weekly or biweekly operational ice-chart time series. The charts used in the climatology are from 1972 through 2007; and the monthly climatology products are median, maximum, minimum, first quartile, and third quartile concentrations, as well as frequency of occurrence of ice at any concentration for the entire period of record as well as for 10-year and 5-year periods. NIC charts are produced through the analyses of available in situ, remote sensing, and model data sources. They are generated primarily for mission planning and safety of navigation. NIC charts generally show more ice than do passive microwave derived sea ice concentrations, particularly in the summer when passive microwave algorithms tend to underestimate ice concentration. The record of sea ice concentration from the NIC series is believed to be more accurate than that from passive microwave sensors, especially from the mid-1990s on (see references at the end of this documentation), but it lacks the consistency of some passive microwave time series. Source: <a href="http://nsidc.org/data/G02172" target="_blank">NSIDC</a> Reference: National Ice Center. 2006, updated 2009. National Ice Center Arctic sea ice charts and climatologies in gridded format. Edited and compiled by F. Fetterer and C. Fowler. Boulder, Colorado USA: National Snow and Ice Data Center. Source: <a href="http://nsidc.org/data/G02172" target="_blank">NSIDC</a>

  • Cumulative numbers of marine fish diversity (n = 633, Appendix 6.2) in the Arctic Ocean and adjacent seas (AOAS) from 1758 to the present. Species are broadly grouped according to zoogeographic pattern (cf. Section 6.3.1): Arctic (A, blue symbols) and non-Arctic (Σ AB, B, WD, red symbols). Grey bars denote periods with many descriptions of new Arctic species. Note that 75% of the non-Arctic species known to science were described by 1912, whereas the same proportion for Arctic species was only reached in 1976. See text for further information. Conservation of Arctic Flora and Fauna, CAFF 2013 - Akureyri . Arctic Biodiversity Assessment. Status and Trends in Arctic biodiversity. - Fishes(Chapter 6) page 220

  • Number of terrestrial mammal species occupying low and high Arctic zones in each of the circumpolar Arctic regions. Conservation of Arctic Flora and Fauna, CAFF 2013 - Akureyri . Arctic Biodiversity Assessment. Status and Trends in Arctic biodiversity. - Mammals(Chapter 3) page 83

  • Megafauna distribution of biomass (g/15 min trawling) in the Barents Sea in 2007, 2011 and 2015. The green circles show the distribution of the snow crab as it spreads from east to west, and the blue triangles show the invasion of king crab along the coast of the southern Barents Sea. Data from Institute of Marine Research, Norway and the Polar Research Institute of Marine Fisheries and Oceanography, Murmansk, Russia. STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/benthos" target="_blank">Chapter 3</a> - Page 95 - Figure 3.3.2 The annual joint Norwegian–Russian Ecosystem Survey provides from more than 400 stations and during extensive cruise tracks covering more or less the whole Barents Sea in August– September. The sampling is based on a regular grid spanning about 1.5 millionkm2 with fixed positions of stations which make it possible to measure changes in spatial distribution over time. The trawl is a Campelen 1800 bottom trawl rigged with rock-hopper groundgear and towed on double Warps. The mesh size is 80 mm (stretched) in the front and 16–22 mmin the cod end, allowing the capture and retention of smaller fish and the largest benthos from the seabed (benthic megafauna). The horizontal opening was 11.7 m, and the vertical opening 4–5 m (Teigsmark and Øynes, 1982). The trawl configuration and bottom contact was monitored remotely by SCANMAR trawl sensors. The standard distance between trawl stations was 35 nautical miles (65 km), except north and west of Svalbard where a stratified sampling was adapted to the steep continental shelve. The standard procedure was to tow 15 min after the trawl had made contact with the bottom, but the actual tow duration ranged between 5 min and 1 h and data were subsequently standardized to 15 min trawl time. Towing speed was 3 knots, equivalent to a towing distance of 0.75 nautical miles (1.4 km) during a 15 min tow. The trawl catches were recorded using the same procedures on the Russian and the Norwegian Research vessels to ensure comparability across Barents Sea regions. The benthic megafauna was separated from the fish and shrimp catch, washed, and sorted to lowest possible taxonomic level, in most cases to species, on-Board the vessel. Species identification was standardized between the researcher teams by annually exchanging the benthic expert’s among the vessels and taxon names were fixed each year according toWORMSwhen possible.This resulted in an Electronic identification manual and photo-compendium as a tool to standardize taxon identifications, in addition to various sources of identification literature. Difficult taxa were photographed and, in some cases, brought back as preserved voucher specimens for further identification. Wet-weight biomass was recorded with electronic scales in the ship laboratories for each taxon.The biomass determination included all fragments.

  • Appendix 9.3 Borderline vascular plant species (“b”) with indication of PAF code number, reaching the southernmost part of the Arctic subzone E. Arctic floristic provinces, subzones (A-E), neighbouring boreal or boreo-alpine zone (N) derived from Elven (2007).

  • Distribution of polar cod (Boreogadus saida) based on participation in research sampling, examination of museum voucher collections and the literature (Mecklenburg et al. 2011, 2014, 2016; Mecklenburg and Steinke 2015). Map shows the maximum distribution observed from point data and includes both common and rare locations. STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/marine-fishes" target="_blank">Chapter 3</a> - Page 114 - Figure 3.4.2

  • There is a great variation and heterogeneity among terrestrial Arctic ecosystems. This is further described as biogeographical areas in the Annotated Checklist of the Pan-Arctic Flora (Elven et al. 2020), as vegetation zones (Walker et al. 2005, Raynolds et al 2019) or as ecoregions recognised by Terrestrial Ecoregions of the World (Olson et al. 2001). The START focuses on high and low Arctic regions consistent with the CAVM’s subzones A to E, as shown in Figure 1-2 and Figure 2-1 STATE OF THE ARCTIC TERRESTRIAL BIODIVERSITY REPORT - Chapter 2 - Page 19 - Figure 2.1

  • Colored Dissolved Organic Matter (CDOM) is a measurement of the absorption of light in the UV and visible spectrum by the colored components of dissolved organic carbon. It is essentially the yellow substance in water as a result of decaying detritus. It is important to measure because it limits the amount of sunlight penetration, and thus restricts the growth of plankton populations. It is measured in a unit-less CDOM index. Data generated as part of CAFFs Circumpolar Biodiversity Monitoring Program (CAFF) and its Land Cover Change Initiative (LCC) Trends visible in the MODIS dataset show an overall decrease in the mean CDOM from 2003 to 2012, with a percent change of -31.7%. This trend can be seen in Figure 40. This decrease corresponds to the increase in total yearly primary productivity (Figure 30), as a decrease in the CDOM allows for sunlight to penetrate deeper into the water, boosting chlorophyll concentrations and thus primary productivity.