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A list of all pages that have property "HasTitle" with value "Scenarios of biospanersity loss in southern Africa in the 21st century". Since there have been only a few results, also nearby values are displayed.

Showing below up to 26 results starting with #1.

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List of results

  • FAO, 1979  + (Report on the second meeting of the working group on soil degradation assessment methodology)
  • De Boer and Van Vuuren, 2017  + (Representation of variable renewable energy source in TIMER, an aggregated energy system simulation model)
  • De Boer and van Vuuren, 2015  + (Representation of variable renewable energy sources in TIMER, an aggregated energy system simulation model)
  • Fuss et al., 2016  + (Research priorities for negative emissions)
  • Hibbard et al., 2010  + (Research priorities in land use and land-cover change for the Earth system and integrated assessment modelling)
  • Luderer et al., 2018  + (Residual fossil CO<sub>2</sub> emissions in 1.5-2 °c pathways)
  • Sattari et al., 2012  + (Residual soil phosphorus as the missing piece in the global phosphorus crisis puzzle)
  • Van Vuuren et al., 2004  + (Responses to technology and taxes in a simulated world)
  • Den Elzen and Schaeffer, 2002  + (Responsibility for past and future global warming: Uncertainties in attributing anthropogenic climate change)
  • PBL, 2010  + (Rethinking global biodiversity strategies)
  • Müller et al., 2016b  + (Reversal of the land biosphere carbon balance under climate and land-use change)
  • Macknick et al., 2011  + (Review of Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies)
  • Hasegawa et al., 2018  + (Risk of increased food insecurity under stringent global climate change mitigation policy)
  • Heyder et al., 2011  + (Risk of severe climate change impact on the terrestrial biosphere)
  • PBL, 2012  + (Roads from Rio+20: Pathways to achieve global sustainability goals by 2050)
  • Müller and Lucht, 2007  + (Robustness of terrestrial carbon and water cycle simulations against variations in spatial resolution)
  • Stoorvogel et al., 2017  + (S-World: A Global Soil Map for Environmental Modelling)
  • Stoorvogel, 2014  + (S-world: A global map of soil properties for modeling)
  • Bouwman, 1986  + (SODEMOD. A computer program for the assessment of the required soil conservation practices for a projected land use on a specific land unit)
  • IIASA, 2013  + (SSP Database)
  • Dagnachew et al., 2020  + (Scenario analysis for promoting clean cooking in Sub-Saharan Africa: Costs and benefits)
  • Tiktak et al., 1992  + (Scenario analysis with the Dutch Acidification Systems (DAS) model: An example for forests and forest soils)
  • Deetman et al., 2018  + (Scenarios for Demand Growth of Metals in Electricity Generation Technologies, Cars, and Electronic Appliances)
  • Van Vuuren et al., 2012c  + (Scenarios in Global Environmental Assessments: Key characteristics and lessons for future use)
  • Bouwman and Van Der Hoek, 1997  + (Scenarios of animal waste production and fertilizer use and associated ammonia emission for the developing countries)
  • Biggs et al., 2008  + (Scenarios of biodiversity loss in southern Africa in the 21st century)
  • Xenopoulos et al., 2005  + (Scenarios of freshwater fish extinctions from climate change and water withdrawal)
  • Rogelj et al., 2018  + (Scenarios towards limiting global mean temperature increase below 1.5 °c)
  • Bierkens and Van Beek, 2009  + (Seasonal predictability of European discharge: NAO and hydrological response time)
  • Olivier et al., 1999b  + (Sectoral emission inventories of greenhouse gases for 1990 on a per country basis as well as on 1°×1°)
  • Marangoni et al., 2017  + (Sensitivity of projected long-term CO 2 emissions across the Shared Socioeconomic Pathways)
  • Bauer et al., 2017  + (Shared Socio-Economic Pathways of the Energy Sector – Quantifying the Narratives)
  • Raupach et al., 2014  + (Sharing a quota on cumulative carbon emissions)
  • Den Elzen et al., 2010b  + (Sharing developed countries' post-2012 greenhouse gas emission reductions based on comparable efforts)
  • Dellink et al., 2009  + (Sharing the burden of financing adaptation to climate change)
  • Den Elzen and Höhne, 2010  + (Sharing the reduction effort to limit global warming to 2°C)
  • Visser et al., 2018  + (Signal detection in global mean temperatures after "Paris": An uncertainty and sensitivity analysis)
  • Liu et al., 2016a  + (Similar estimates of temperature impacts on global wheat yield by three independent methods)
  • Pugh et al., 2015  + (Simulated carbon emissions from land-use change are substantially enhanced by accounting for agricultural management)
  • Zuidema et al., 1994  + (Simulating changes in global land cover as affected by economic and climatic factors)
  • Jones et al., 2016  + (Simulating the Earth system response to negative emissions)
  • Klein Goldewijk et al., 1994  + (Simulating the carbon flux between the terrestrial environment and the atmosphere)
  • Stehfest and Müller, 2004  + (Simulation of N2O emissions from a urine-affected pasture in New Zealand with the ecosystem model DayCent)
  • Stehfest et al., 2007  + (Simulation of global crop production with the ecosystem model DayCent)
  • Van Bussel et al., 2015  + (Simulation of the phenological development of wheat and maize at the global scale)
  • Shindell et al., 2012  + (Simultaneously mitigating near-term climate change and improving human health and food security)
  • Kroeze et al., 2007  + (Sinks for nitrous oxide at the earth's surface)
  • Fischer et al., 2005  + (Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990-2080)
  • Koelbl et al., 2015  + (Socio-economic impacts of future electricity generation scenarios in Europe: Potential costs and benefits of using CO2 Capture and Storage (CCS))
  • Koelbl et al., 2016  + (Socio-economic impacts of low-carbon power generation portfolios: Strategies with and without CCS for the Netherlands)
  • O'Neill, 2013  + (Socio-economic observations, scenarios, and their use in LUC models)