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List of results

• FAO, 2011a  + (The state of the world's land and water resources for food and agriculture (SOLAW) - Managing systems at risk)
• De Vries et al., 2001  + (The targets image energy model regional (TIMER) -Technical documentation.)
• Van Vuuren et al., 2011e  + (The use of scenarios as the basis for combined assessment of climate change mitigation and adaptation)
• Costanza et al., 1997  + (The value of the world's ecosystem services and natural capital)
• De Onis and Blossner, 2003  + (The world health organization global database on child growth and malnutrition: methodology and applications)
• Neumann et al., 2010  + (The yield gap of global grain production: A spatial analysis)
• Klein Goldewijk, 2005  + (Three centuries of global population growth: A spatial referenced population (density) database for 1700-2000)
• Klostermann et al., 2015  + (Towards a framework to assess, compare and develop monitoring and evaluation of climate change adaptation in Europe)
• Alkemade et al., 2011a  + (Towards a general relationship between climate change and biodiversity: an example for plant species in Europe)
• Alkemade et al., 2011  + (Towards a general relationship between climate change and biodiversity: An example for plant species in Europe)
• Hilderink and Lucas, 2008  + (Towards a global integrated sustainability model: GISMO 1.0 status report)
• Metz et al., 2002  + (Towards an equitable global climate change regime: Compatibility with Article 2 of the Climate Change Convention and the link with sustainable development)
• Nilsson et al., 2013  + (Towards an integrated framework for sdgs: Ultimate and enabling goals for the Case of energy)
• Dagnachew et al., 2018  + (Trade-offs and synergies between universal electricity access and climate change mitigation in Sub-Saharan Africa)
• De Vos et al., 2021  + (Trade-offs between water needs for food, utilities, and the environment—a nexus quantification at different scales)
• Edelenbosch et al., 2018b  + (Transport electrification: the effect of recent battery cost reduction on future emission scenarios)
• Edelenbosch et al. 2018  + (Transport electrification: the effect of recent battery cost reduction on future emission scenarios)
• Edelenbosch et al., 2017  + (Transport fuel demand responses to fuel price and income projections: Comparison of integrated assessment models)
• Beusen, 2014  + (Transport of nutriens from land to sea: Global modeling approaches and uncertainty analyses)
• Creutzig et al., 2015  + (Transport: A roadblock to climate change mitigation?)
• Reiners et al., 1994  + (Tropical rain forest conversion to pasture: Changes in vegetation and soil properties)
• UNEP, 2011  + (UNEP Bridging the gap report)
• Cox et al., 2018  + (Uncertain Environmental Footprint of Current and Future Battery Electric Vehicles)
• Pitman et al., 2009  + (Uncertainties in climate responses to past land cover change: First results from the LUCID intercomparison study)
• Klein Goldewijk and Verburg, 2013  + (Uncertainties in global-scale reconstructions of historical land use: An illustration using the HYDE data set)

• Bouwman et al., 1995  + (Uncertainties in the global source distribution of nitrous oxide)

• Tomassini et al., 2010  + (Uncertainty and risk in climate projections for the 21st century: Comparing mitigation to non-intervention scenarios)
• Van Ruijven et al., 2010b  + (Uncertainty from model calibration: Applying a new method to transport energy demand modelling)
• Koelbl et al., 2014a  + (Uncertainty in Carbon Capture and Storage (CCS) deployment projections: A cross-model comparison exercise)
• Koelbl et al., 2014b  + (Uncertainty in the deployment of Carbon Capture and Storage (CCS): A sensitivity analysis to techno-economic parameter uncertainty)
• Van Der Sluijs, 1995  + (Uncertainty management in integrated modelling, the IMAGE case)
• Gernaat et al., 2015  + (Understanding the contribution of non-carbon dioxide gases in deep mitigation scenarios)
• Bijl et al., 2018b  + (Unpacking the nexus: Different spatial scales for water, food and energy)
• Harris et al., 2013  + (Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 dataset.)
• Ellis et al., 2013  + (Used planet: A global history)
• Verboom et al., 2014  + (Using Minimum Area Requirements (MAR) for assemblages of mammal and bird species in global biodiversity assessments)
• Döll and Lehner, 2002  + (Validation of a new global 30-min drainage direction map)
• Doell and Lehner, 2002  + (Validation of a new global 30-min drainage direction map)
• Warren et al., 2010  + (Variation in the climatic response to SRES emissions scenarios in integrated assessment models)
• Fader et al., 2010  + (Virtual water content of temperate cereals and maize: Present and potential future patterns)
• Glibert et al., 2014a  + (Vulnerability of coastal ecosystems to changes in harmful algal bloom distribution in response to climate change: Projections based on model analysis)
• Meinardi et al., 1995  + (Vulnerability to diffuse pollution and average nitrate contamination of European soils and groundwater)
• Ludwig et al., 2010  + (Water and nutrient fluxes from major Mediterranean and Black Sea rivers: Past and future trends and their implications for the basin-scale budgets)
• Biemans, 2012  + (Water constraints on future food production)
• Molden, 2007  + (Water for food, water for life: A comprehensive assessment of water management in agriculture)
• Jägermeyr et al., 2015  + (Water savings potentials of irrigation systems: global simulation of processes and linkages)
• Cairncross and Valdmanis, 2006  + (Water supply, sanitation, and hygiene promotion)
• Hof, 2015  + (Welfare impacts of climate change)
• Van Vuuren et al., 2010c  + (What do near-term observations tell us about long-term developments in greenhouse gas emissions?)
• Mendoza Beltran et al., 2018  + (When the Background Matters: Using Scenarios from Integrated Assessment Models in Prospective Life Cycle Assessment)
• Von Lampe et al., 2014  + (Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison.)