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.

DK model 2019 – Model data comprises core model data from GEUS’ national hydrological model for Denmark. The dataset describes the model basis used in DK model 2019, including the hydrogeological model structure, computational grid, groundwater bodies, climate input, water abstraction data, stream network and other thematic input data included in the model setup. DK model 2019 was updated with new groundwater bodies, new hydrogeological mapping information and a new calibration against observed groundwater heads and stream discharge. The model data form the basis for calculations of groundwater recharge, water balance, water abstraction, drawdown, exploitation rates and impacts on streams. The dataset is suitable as documentation of the model basis and as input to regional analyses, screening and further modelling studies, but should not be used directly for local-scale issues without a separate assessment.

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).

DK model 2019 – Calibration statistics comprises spatial and statistical results from the calibration and evaluation of GEUS’ national hydrological model for Denmark. The dataset documents model performance for groundwater heads and stream discharge, including statistical measures such as RMSE and mean error for groundwater heads as well as WBE, summer WBE and KGE for streamflow simulations. The calibration was carried out using dynamic model runs and inverse parameter estimation with PEST based on observed groundwater heads and daily discharge data for the period 2000–2010. The dataset is intended for assessing the suitability of DK model 2019 for regional analyses, screening and further use. The calibration statistics describe model performance at national and regional scales and should not by themselves be used as documentation of local-scale model accuracy.

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).

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.

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.

This dataset represents a map of ice margin lines and related localities in Scandinavia, illustrating the gradual deglaciation of the Scandinavian Ice Sheet during the last glaciation, the Weichsel Ice Age. The map depicts the ice sheet extent in five main deglaciation phases, as well as the occurrence of recent ice caps, ice-margin localities, De Geer moraines, ice margin lines and hypothetical ice margin lines. The dataset was compiled in 1995 in connection with TemaNord and presents a regional overview of the deglaciation history of Scandinavia. GEUS has provided technical input in producing the ice margin map.

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

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).