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The following projections are supported when displaying uploaded geodata:

EPSG:4326 WGS 84

EPSG:3857 WGS 84 Pseudo-Mercator

EPSG:3035 ETRS89-extended LAEA Europe

EPSG:25831 ETRS89 UTM zone 31N

EPSG:25832 ETRS89 UTM zone 32N

EPSG:25833 ETRS89 UTM zone 33N

EPSG:5650 ETRS89 UTM zone 33N (zE-N)

EPSG:3346 LKS94 Lithuania TM

EPSG:31370 Belge 1972 Belgian Lambert 72
The Species Protection Program scenario developed for Flanders (Belgium) minimises the subsidy cost while reaching specific habitat targets for S. turtur, L. limosa, A. arvensis and E. citrinella, by looking for the optimal distribution of a set of conservation measure types within predefined areas (Species Protection Zones).
Main factors:
- Minimising subsidy cost while reaching specific habitat constraints
- 4 species considered: Black-tailed godwit, arable bird (Eurasian skylark and Yellowhammer) and European turtle dove
- Within predefined species protection zones
- Objective (subsidy cost): 11,763,379
Budget management agreements for species protection in Flanders (2018): 9,014,346
- Optimised distribution of conservation measures

The Budget Constraint Scenario developed for Flanders (Belgium) maximises the area of suitable habitat for the eight species considered in this scenario, given a fixed budget for compensation (subsidy) cost, by looking for the optimal distribution of a set of conservation measure types.
Main factors:
- Maximising area where habitat suitability is above 0.66 for 8 species
- Area where HS is above 0.66 area where HS is above 0.66 from SPP scenario for Black-tailed godwit, Eurasian skylark, Yellowhammer and European turtle dove
- Budget is budget needed to reach habitat targets in SPP scenario (11,763,379)
- Region: Within all of Flanders
The Budget Constraint Scenario developed for Brandenburg (Germany) maximises the habitat suitability for the nine species considered in this scenario, given a fixed budget for compensation (subsidy) cost, by looking for the optimal distribution of a set of conservation measure types
Main factors:
- Region: Brandenburg
- Objective. Maximise Habitat suitability overall
- Constraints:
Budget constrained
Habitat suitability per species cannot deteriorate within their (natura 2000) protection zones
Outside protection zones: if Habitat suitability0 0.66, Habitat suitability cannot deteriorate more than 5

The Natura 2000 Scenario developed for Brandenburg (Germany) maximises the habitat suitability for the nine species considered in this scenario, given a fixed budget for compensation (subsidy) cost, by looking for the optimal distribution of a set of conservation measure types within Natura 2000 areas.
Main factors:
- Region: Natura 2000 zones in Brandenburg that protect 1 BW species
- Objective. Maximise Habitat suitability of species within natura 2000 zones they are protected by
- Constraints:
Budget constrained
Habitat suitability per species cannot deteriorate within their (natura 2000) protection zones

The Special Protection Area (SPA) Scenario developed for Brandenburg (Germany) maximises the habitat suitability for the nine species considered in this scenario, given a fixed budget for compensation (subsidy) cost, by looking for the optimal distribution of a set of conservation measure types within Special Protection Areas (i.e. areas that protect birds, part of the Natura 2000 network).
Main factors:
- Region: SPA zones in Brandenburg
- Objective. Maximise Habitat suitability overall
- Constraints:
Budget constrained
Habitat suitability per species cannot deteriorate within their (natura 2000) protection zones
The Budget Constraint Scenario developed for Lithuania maximises the habitat suitability for the eight species considered in this scenario, given a fixed budget for compensation (subsidy) cost, by looking for the optimal distribution of a set of conservation measure types.

Main factors:
- Region: 24 Municipalities characterized by intensive agriculture identified
- Per municipality:
Objective: Maximise average habitat suitability
Constraints:
Per species f: If HS0,f 0.66, HSf cannot deteriorate more than 5
Budget constraint: total budget per conservation measure is equal to annual budget for that measure multiplied with area proportion of municipality
The average habitat suitability is the arithmetic mean: For a parcel it is the sum of all habitat suitability values of the bird species divided by the number of the bird species.
The majority is the habitat suitability value which occurs most often per spatial unit. It is used as each raster cell potentially has different values for all the considered bird species.