|
Name Objective |
Extent |
Temporal scale |
Spatial resolution |
Quantified variables |
Scenario names |
| |
| |
| ATEAM† (Rounsevell et al. 2006) |
|
|
Land use scenarios for models to assess effects on ecosystem
services |
EU15
Norway
Switzerland |
2020, 2050, 2080 |
% cover in 10 arc minute grid cell |
Land use: urban, cropland, grassland, permanent crops, bio
fuels, abandoned land |
Global Economic – A1
Regional
Economic – A2
Global Environmental –
B1
Regional Environmental – B2 |
| |
| Prelude‡ (EEA
2007) |
|
|
Inspire and inform discussion |
EU25, Norway, Switzerland |
Annual time steps 2005-2035 |
% cover in 10 arc minute grid cell |
Land use: urban, cropland, grassland, permanent crops, bio
fuels, abandoned land |
Great Escape – Europe of
Contrasts
Evolved Society – Europe of
Harmony
Clustered Network – Europe of
Structure
Lettuce Surprise U – Europe of
Innovation
Big Crisis – Europe of
Cohesion |
| |
| ALARM§ (Settele
et al. 2005; I. Reginster, M. Rounsevell, F. Riguelle, T. R. Carter, S. Fronzek, I. Oman, J. H. Spangenberg, A. Stocker, A. Bondeau, T. Hickler unpublished manuscript) |
|
|
Land use scenarios for models to assess effects on
biodiversity |
EU25, Norway, Switzerland |
Annual time steps 2006-2080 |
% cover in 10 arc minute grid cell |
Land use: urban, cropland, grassland, permanent crops, bio
fuels, abandoned land |
Growth applied strategy
(GRAS)
Business as might be usual
(BAMBU)
Sustainable European development goal
(SEDGE)
Shock in energy price level
(BAMBU-SEL)
Cooling under thermohaline collapse
(GRAS-CUT)
Contagious natural epidemic
(BAMBU-CANE) |
| |
| SENSOR| (Kuhlman
2008, Helming et al. 2008) |
|
|
Policy scenarios to illustrate and quantify consequences of
specific European policies on land use and a number of
indicators |
EU27 |
2025 |
NUTS2/3† †
socioeconomic data, 1 km land use |
86 social and environmental indicators and land use
functions
Land use: 13 classes |
Reference: Reference growth, High growth, Low
growth
Policy: Bioenergy, EU Financial Reform,
Biodiversity, Forest management, Transport |
| |
| EURURALIS¶ (WUR/MNP
2008) |
|
|
Tool for the support of policy discussions on long term
changes and policy challenges in the rural areas of Europe |
EU27 |
Annual time steps 2000-2030 |
NUTS2/3 socioeconomic data, 1 km land use |
Commodities: cereals, sugar, oilseeds, horticulture, other
crops, cattle, pork & poultry, dairy,
processed
Land use: 13 classes |
Global Economy
Global
Cooperation
Continental
Market
Regional Communities |
| |
| ESPON# (ESPON
2007) |
|
|
Scenarios for European Spatial Developing
Planning |
EU27 |
2015 and 2030 |
Mainly NUTS regions |
Many socioeconomic variables |
1 reference scenario
20 thematic
scenarios
2 policy scenarios
1
prescriptive scenario |