Bird and distance transect biodiversity GRID data from Barrow, Alaska-

Circumpolar map of all polar bear subpopulation as recognized by the IUCN/Polar Bear Specialist Group in 2009 (PBSG 2010a). Total area covered = 24 mill. km(2). Vongraven, D and Peacock, E. Development of a pan-Arctic monitoring plan for polar bears:background paper. Published in the Arctic Biodiversity trends 2010, Indicator #01 - released in May 2010 Updated in feb.2025 with spatial data from 2022

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.

Defines the area covered by the the Conservation of Arctic Flora and Fauna (CAFF) working group of the Arctic Council. Each Arctic Council country was responsible for defining their Arctic boundary.

Marine primary productivity is not available from the NASA Ocean Color website. Currently the best product available for marine primary productivity is available through Oregon State University’s Ocean Productivity Project. A monthly global Net Primary Productivity product at 9 km spatial resolution has been selected for this analysis. The algorithm used to create the primary productivity is a Vertically Generalized Production Model (VGPM) created by Behrenfeld and Falkowski (1997). It is a “chlorophyll-based” model that estimates net primary production from chlorophyll using a temperature-dependent description of chlorophyll photosynthetic efficiency (O’Malley 2010). Inputs to the function are chlorophyll, available light, and photosynthetic efficiency.

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).