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

GE.Bedrock 1:1 000 000 is a transformed version of the SGU product Bedrock1:1 million with the purpose to conform to the Inspire data specification for Geology encoded according to GeoSciML 4.0. It is also a contribution to the OneGeology initiative (www.onegeoloy.org). Data is represented in a two-dimensional model of the top of the bedrock, describing identified geological units geometry, the material composition of the units and geologic events that has acted on the units. Shear displacement structures like faults on the top of bedrock are also included in the model. The main features of the bedrock geology of Sweden is represented in the produkt and since it is based on compilation of bedrock maps of different scales, age and quality the accuracy of the data varies within the dataset. The product is produced for presentation at the scale of 1:1 miilion which means that some units are heavily generalized.

The dataset comprises spatial polygons (Tracts) representing areas in Greenland assessed as geologically permissive for specific mineral deposit types during mineral resource assessment workshops conducted between 2009 and 2014. Assessments were carried out following the principles of the U.S. Geological Survey “three-part quantitative assessment” method (Singer, 1993), except for the 2010 rare earth elements workshop. For each Tract, probabilistic estimates of the number of undiscovered deposits at different confidence levels are provided, along with statistical results from Monte Carlo simulations based on established grade-tonnage models. The assessments do not include economic, technical, environmental or social considerations.

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).

DK model 2019 – Water resources assessment comprises derived results from GEUS’ national hydrological model for Denmark for assessing the use and quantitative status of groundwater resources. The dataset contains model-based assessments of groundwater recharge, water abstraction, exploitation rates, water balance, groundwater drawdown and related assessments at groundwater body level. Exploitation rates are calculated as the ratio between abstraction and groundwater recharge and are used together with information on drawdown and streamflow impacts to assess whether groundwater bodies may be at risk with respect to water balance and quantitative status. The dataset is suitable for regional screening, documentation and overall assessment of groundwater resources, but should not be used as the sole basis for local-scale decisions without additional expert evaluation.

Appendix 10.1. Updated Panarctic Lichen Checklist as used for the calculations (version March 2013) with data on preferred substrate, growth form (crustose, squamulose, foliose, fruticose), rarity of species within and outside the Arctic, occurrence in the low and high Arctic and occurerence in the floristic provinces.

Marine fishes in the Arctic Ocean and adjacent seas (AOAS).

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).

DK model 2019 – Simulation results comprises calculated hydrological results from GEUS’ national hydrological model for Denmark. The dataset contains derived results from model runs with DK model 2019, including calculations of water balance, groundwater recharge, impacts of water abstraction, groundwater drawdown, streamflow impacts and changes in flow-related indicators. The results include, among other outputs, comparisons between scenarios with current abstraction and reference scenarios without abstraction. The dataset is used for regional assessment of hydrological conditions, screening of water resource and impact conditions, and documentation of model-calculated results. The results are model-based and should be used with due consideration of the regional purpose, model uncertainties and limitations of DK model in relation to local-scale applications.

Distribution by broad geographic region and low or high arctic zones.