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This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.

List of results

• Zalasiewicz et al., 2010  + (The new world of the Anthropocene1)
• Moss et al., 2010  + (The next generation of scenarios for climate change research and assessment)
• Van Ruijven et al., 2008  + (The potential role of hydrogen energy in India and Western Europe)
• Van Ruijven et al., 2007  + (The potential role of hydrogen in energy systems with and without climate policy)
• PBL, 2011  + (The protein puzzle)
• Van Vuuren and Riahi, 2011  + (The relationship between short-term emissions and long-term concentration targets)
• Verburg et al., 2013  + (The representation of landscapes in global scale assessments of environmental change)
• Van Vuuren et al., 2011c  + (The representative concentration pathways: An overview)
• O'Neill et al., 2017  + (The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century)
• Strengers et al., 2008  + (The role of carbon plantations in mitigating climate change: Potentials and costs)
• Dagnachew et al., 2017  + (The role of decentralized systems in providing universal electricity access in Sub-Saharan Africa – A model-based approach)
• Bouwman and Leemans, 1995  + (The role of forest soils in the global carbon cycle)
• Harmsen et al., 2019a  + (The role of methane in future climate strategies: Mitigation potentials and climate impacts)
• Van Vuuren et al., 2013  + (The role of negative CO2 emissions for reaching 2 °C-insights from integrated assessment modelling)
• Kroeze and Bouwman, 2011  + (The role of nitrogen in climate change)
• Eickhout et al., 2006  + (The role of nitrogen in world food production and environmental sustainability)
• Gernaat et al., 2020  + (The role of residential rooftop photovoltaic in long-term energy and climate scenarios)
• Bouwman, 1989b  + (The role of soils and land use in the greenhouse effect)
• Kriegler et al., 2014b  + (The role of technology for achieving climate policy objectives: Overview of the EMF 27 study on global technology and climate policy strategies)
• Grassi et al., 2012  + (The role of the land use, land use change and forestry sector in achieving Annex I reduction pledges)
• Kermeli et al., 2019  + (The scope for better industry representation in long-term energy models: Modeling the cement industry)
• Den Elzen and Rotmans 1992  + (The socio-economic impact of sea-level rise on the Netherlands: A study of possible scenarios)
• 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)