Appendix 17.2. Cryptic speciation in selected Arctic terrestrial and marine species.

The dataset contains geographic polygons representing the areas of Greenland covered in GEUS publications and in the DODEX report database. Each publication is associated with metadata including title, authors, year of publication and reference information as well as a link to the digital publication where publicly available. The dataset includes publication series such as GEUS Bulletin, Geological Survey of Denmark and Greenland Bulletin, Bulletin Grønlands Geologiske Undersøgelse, report series and geological map descriptions. The polygons are based on the geographic extent described in each publication and serve as a spatial index for search and visualisation purposes.

Appendix 10.2. Data on diversity of lichens and lichenicolous fungi in the Arctic and separately for the sectors of the Arctic (Beringia, Canada, North Atlantic, European Russia, W and E Siberia) and the single floristic provinces: numbers of species, numbers of species in the low and high Arctic, percentage of species with respective growth form (crustose, squamulose, foliose, fruticose), the estimated number of missing crustose lichen species (explanations below), percentage of species on the respective substrate on which the lichen species grow, and rarity of species within and outside the Arctic.

The dataset consists of a series of ASTER band ratios combined into colour composite images designed to highlight mineralogical distributions and lithological variability in Northeast Greenland. The ASTER scenes were preprocessed with atmospheric, radiometric and topographic corrections, including radiative transfer modelling using ATCOR-3 in rugged terrain mode. A surface elevation model was applied to adjust illumination effects. Non-outcrop pixels were masked prior to generating the final mosaic. Calibrated radiance data were converted to apparent surface reflectance; however, further calibration against ground-based reflectance measurements was not feasible. The dataset represents a derived remote sensing product and not primary satellite data.

The dataset contains a summary of geological information for known mineral occurrence regions in Greenland. The information includes the geographic location, size, mineral commodities, mineralisation type, exploration history and a geological description of each occurrence or deposit. The data have been collected and compiled from field investigations conducted by geological surveys, academic researchers and mineral exploration companies. The dataset represents a regional synthesis of mineral occurrence information and provides an overview of the spatial distribution and geological context of known mineral resources in Greenland.

Large Marine Ecosystems (LMEs) are regions of ocean space encompassing coastal areas from river basins and estuaries to the seaward boundary of continental shelves and the seaward margins of coastal current systems. Fifty of them have been identified. They are relatively large regions (200 000 km2 or more) characterized by distinct bathymetry, hydrography, productivity and trophically dependent populations. The LME approach uses five modules: 1. productivity module considers the oceanic variability and its effect on the production of phyto and zooplankton 2. fish and fishery module concerned with the sustainability of individual species and the maintenance of biodiversity 3. pollution and ecosystem health module examines health indices, eutrophication, biotoxins, pathology and emerging diseases 4. socio-economic module integrates assessments of human forcing and the long-term sustainability and associated socio-economic benefits of various management measures, and 5. governance module involves adaptive management and stakeholder participation.” Source: http://www.fao.org/fishery/topic/3440/en Reference: Sherman, K. and Hempel, G. (Editors) 2009. The UNEP Large Marine Ecosystem Report: A perspective on changing conditions in LMEs of the world’s Regional Seas. UNEP Regional Seas Report and Studies No. 182. United Nations Environment Programme. Nairobi, Kenya. Data available from: http://lme.edc.uri.edu/ - LMEs of the world Updated shape file - 2014

Aggragation of all groundwater monitoring stations from participating provincial and territorial agencies: - Nova Scotia Environment - Ontario Ministry of the Environment, Conservation and Parks - Alberta Environment and Sustainable Resource Development - Newfoundland and Labrador Department of Environment and Climate Change - Prince Edward Island Department of Environment, Energy and Climate Action - New Brunswick Environment - Quebec Ministère de l'Environnement et de la Lutte contre les changements climatiques - Manitoba Department of Agriculture and Resource Development - Saskatchewan Water Security Agency - British Columbia Ministry of Environment and Climate Change Strategy - Yukon Water Resources Branch of the Department of Environment This web service complies with the OGC's SensorThings API standard and provides access to archives of historical and recent groundwater level measurements from provincial stations.

Appendix 9.2 The 106 Arctic endemic vascular plant species (with PAF code number) and their distribution in the Arctic floristic provinces and subzones (A-E) compiled from Elven (2007).

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).

This layer comprises all the available water wells in GIN (Yukon, British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, Quebec, Nova Scotia and Newfoundland and Labrador) and published through the open data platforms. This layer is a combination of all individual provincial and territorial layers. The original databases are dynamically converted by an automatic process managed by Natural Resources Canada (Groundwater Information Network).