Table 1. Overview of a range of existing scenario studies for the European Union.

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M. Rounsevell, F. Riguelle, T. R. Carter, S. Fronzek, I. Oman, J. H. Spangenberg, A. Stocker, A. Bondeau, T. Hickler unpublished manuscript)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


Advanced Terrestrial Ecosystem Analysis and Modelling; http://www.pik-potsdam.de/ateam/

Prospective Environmental Analysis of Land Use Developments in Europe;
   http://www.eea.europa.eu/prelude

§ Assessing Large scale Risks for biodiversity with tested Methods;
   http://www.alarmproject.net/alarm/

| Sustainability Impact Assessment: Tools for Environmental, Social, Economic Effects of Multifunctional
   Land Use in European Regions; http://www.sensor-ip.org/

† † Nomenclature of Territorial Units for Statistics;
    http://ec.europa.eu/eurostat/ramon/nuts/home_regions_en.html

 EURURALIS; http://www.eururalis.eu

# European Spatial Planning Observation Network; http://www.espon.eu