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.

<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>

Appendix 9.1 List of all Arctic vascular plant species (with PAF code number) and their distribution in the 21 Arctic floristic provinces and 5 subzones based on Elven (2007).

Breeding and wintering range of common eiders Somateria mollissima in the circumpolar region (not all southern breeding areas included).The common eider Somateria mollissima has a circumpolar distribution breeding mainly on small islands in Arctic and boreal marine areas in Alaska (Bering Sea region), Canada, Greenland, Iceland, N Europe and the Barents Sea region. In mainland Russia, there is a gap in distribution from the Yugorski Peninsula (Kara Sea) to Chaunskaya Bay in E Siberia Important wintering areas include the Gulf of Alaska/Bering Sea/Aleutian region, SE Canada, SW Greenland, Iceland and NW Europe. Six or seven subspecies are recognized, of which four occur in North America. - <a href="http://arcticbiodiversity.is/the-report/chapters/birds" target="_blank">Arctic Biodiversity Assessment. Status and Trends in Arctic biodiversity. - Birds(Chapter 4) page 150</a>

The MODIS Sea Surface Temperature (SST) product provided is a 4km spatialresolution monthly composite made from nighttime measurements from the Aqua Satellite.The nighttime measurements are used to collect a consistent temperature measurement that isunaffected by the warming of the top layer of water by the sun.

Arctic Biodiversity Assessment (ABA) 2013. Table 9.5. Species numbers of species-rich moss genera and families. Numbers highlighted in grey fields are used in calculating the percentage of the total moss flora. Listed are Splachnum, genera with at least 10 species and families with at least nine species. Conservation of Arctic Flora and Fauna, CAFF 2013 - Akureyri . Arctic Biodiversity Assessment. Status and Trends in Arctic biodiversity. - Plants(Chapter 9) page 333

Arctic Biodiversity Assessment (ABA) 2013. Table 18.1. Marine incidents involving cruise ships in Arctic and Antarctic waters (the same vessels often alternate polar region according to season) (aggregated from reports from national coast guards, admiralty courts and insurers, and www.cruisejunkie.com).

Albedo is a reflection coefficient that describes the reflecting power of a surface. Data compiled for CAFFs Land Cover Change Initiative with dataset for the firs of very month during 2001- 20112. - <a href="http://www.caff.is/indices-and-indicators/land-cover-change-index" target="_blank"> Land Cover Change Initiative (LCC)</a>

The MODIS Land Cover Type product is created yearly using three landclassification schemes; the International Geosphere Biosphere Programme (IGBP)classification scheme, the Univertiy of Maryland (UMD) classification scheme, and aMODIS-derived Leaf Area Index /Fraction of Photosynthetically Active Radiation(LAI/fPAR) classification scheme (Table 3). The International Geosphere Biosphere Programme (IGBP) identifies seventeenland cover classes, including eleven natural vegetation classes, three non-vegetated landclasses, and three developed land classes. The product provided is derived using the samealgorithm as the 500 m Land Cover Type (MOD12Q1), but is on a 0.05° Climate Model Grid(CMG), that has been clipped to the pan-Arctic extent. The UMD classification scheme issimilar to the IGBP classification scheme, but it excludes the Permanent wetlands,Cropland/Natural vegetation mosaic, and the Snow and ice classes. The LAI/fPARclassification scheme is the smallest of the three, and focuses on forest structure; it only haseleven classes. All three land cover classification schemes are provided, but the IGBPclassification scheme is the most amenable to the Pan-Arctic region.

The MODIS Land Water Mask is created from MODIS 250 m imagery incombination with Shuttle Radar Topography Mission (SRTM) Water Body Data (SWBD) tocreate a global map of surface water at 250 m spatial resolution. Currently, only one mapexists, created in 2009 by Carroll et al. (2009). Because only one MODIS-based map exists,an analysis of surface water change is not possible at this time.