• Modeling more than 40,000 Species of Denmark
• Goal to model them at 10 meter resolution including
  • Climatic data (Chelsa Downscaling algorithm)
  • Soil data (Soilgrids for EU)
  • Landuse (Either corine or google earth dynamic world)
• Projections for present and at least 4 future scenarios

• Passed it through the taxize r package to get the GBIF closest match and exclude synonimia
• Filtered out species with lower than 0.9 in a match
• Used rgbif package to download presences
• Max 10.000 species that had coordinates

With CoordinateCleaner r package:

• Presences from 1960 onwards
• Eliminated prescences in Country, county or regions centroids (Known way to create coordinates of occurrences where there are no known coordinates)
• Eliminated equal lat and long
• Eliminated environmental and geografical outliers

With spThin

• Made sure that presences are at least 5 kms form each other (Spatial Autocorrelation)

For Avena fatua reduction from 6406 to 1458

• Using AMPL written and tested models to prioritize:
  • Denmark or EU as a whole, by region, or by commune
  • Maximize shannon divesity (or other alpha div)
  • Select possible landuse changes
  • Minimum Carbon storage
  • Goals for red list species
  • Consider cities, landuse change, and climate change

• Using prioritizr for optimization
• two approaches
  • Minimum cost to approach goals
  • Maximum gain given a certain budget (better to get to target areas)
• 987 species as target features

• From BIEN, we looked for all the presences of species present in Denmark
  • Native: 987
  • Invasive: 208 (more introduced species have also been modeled)
• Model current and 4 future scenarios

• When current and future ranges are aligned

• Present richness vs concensus richness
• Better options with migrations, artscore, and other metrics
• Other taxa

• Naidoo and Iwamura (2007)
• Based on potential crop and livestock production
• Does not consider climate change (We can do better)

• Copenhagen shows how different they are

• Only take into account species (10% coverage)

• Add Agriculture as cost (min cost)

• Start with protected areas, eliminate cities (HFP)