Stabilizing greenhouse gas concentrations at low levels: an assessment of reduction strategies and costs View Full Text


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Article Info

DATE

2007-03

AUTHORS

Detlef P. van Vuuren, Michel G. J. den Elzen, Paul L. Lucas, Bas Eickhout, Bart J. Strengers, Bas van Ruijven, Steven Wonink, Roy van Houdt

ABSTRACT

On the basis of the IPCC B2, A1b and B1 baseline scenarios, mitigation scenarios were developed that stabilize greenhouse gas concentrations at 650, 550 and 450 and – subject to specific assumptions – 400 ppm CO2-eq. The analysis takes into account a large number of reduction options, such as reductions of non-CO2 gases, carbon plantations and measures in the energy system. The study shows stabilization as low as 450 ppm CO2-eq. to be technically feasible, even given relatively high baseline scenarios. To achieve these lower concentration levels, global emissions need to peak within the first two decades. The net present value of abatement costs for the B2 baseline scenario (a medium scenario) increases from 0.2% of cumulative GDP to 1.1% as the shift is made from 650 to 450 ppm. On the other hand, the probability of meeting a two-degree target increases from 0%–10% to 20%–70%. The mitigation scenarios lead to lower emissions of regional air pollutants but also to increased land use. The uncertainty in the cost estimates is at least in the order of 50%, with the most important uncertainties including land-use emissions, the potential for bio-energy and the contribution of energy efficiency. Furthermore, creating the right socio-economic and political conditions for mitigation is more important than any of the technical constraints. More... »

PAGES

119-159

References to SciGraph publications

  • 2004-08. Quantification of modelling uncertainties in a large ensemble of climate change simulations in NATURE
  • 1992-05. A sequential-decision strategy for abating climate change in NATURE
  • 2004-12. The land-use projections and resulting emissions in the IPCC SRES scenarios scenarios as simulated by the IMAGE 2.2 model in GEOJOURNAL
  • 1997-11. Influence of socioeconomic inertia and uncertainty on optimal CO2-emission abatement in NATURE
  • 1996-01. Economic and environmental choices in the stabilization of atmospheric CO2 concentrations in NATURE
  • 2006-03. The Consistency of IPCC's SRES Scenarios to 1990–2000 Trends and Recent Projections in CLIMATIC CHANGE
  • 2006-03. Multi-gas Emissions Pathways to Meet Climate Targets in CLIMATIC CHANGE
  • 2000-06. Overview of mitigation scenarios for global climate stabilization based on new IPCC emission scenarios (SRES) in ENVIRONMENTAL ECONOMICS AND POLICY STUDIES
  • 2008-06. The role of carbon plantations in mitigating climate change: potentials and costs in CLIMATIC CHANGE
  • 2006-09. Development of a support tool for greenhouse gas emissions control policy to help mitigate the impact of global warming in ENVIRONMENTAL ECONOMICS AND POLICY STUDIES
  • 2005-06. The FAIR model: A tool to analyse environmental and costs implications of regimes of future commitments in ENVIRONMENTAL MODELING & ASSESSMENT
  • 1991-02. Could reducing fossil-fuel emissions cause global warming? in NATURE
  • 2004-12. Future Expansion Of Agriculture and Pasture Acts to Amplify Atmospheric CO2 Levels in Response to Fossil-Fuel and Land-Use Change Emissions in CLIMATIC CHANGE
  • 2006-01. Carbon Capture and Storage From Fossil Fuels and Biomass – Costs and Potential Role in Stabilizing the Atmosphere in CLIMATIC CHANGE
  • Journal

    TITLE

    Climatic Change

    ISSUE

    2

    VOLUME

    81

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10584-006-9172-9

    DOI

    http://dx.doi.org/10.1007/s10584-006-9172-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1026244696


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