Uncertainty analysis is a key component of national GHG inventory analyses. The issues that are raised by the authors in this volume and the role that uncertainty analysis plays in many of their arguments and/or proposals highlight the importance of such efforts. Topics include: bottom-up versus top-down emission inventory approaches, compliance and verification issues, signal detection and analysis techniques, compliance with the Kyoto Protocol, and the role of uncertainty in emissions trading schemes.

Addresses key uncertainty issues - verification, compliance and emissions trading Presents state-of-the-art research and developments Provides a multidisciplinary forum for international experts Can be used in various courses in environmental management and environmental economics

Autorentext
Daniel Eric Lieberman ist Professor für Paläoanthropologie und Biologie an der Harvard University. Er hat zahlreiche Artikel in "Nature" und "Science" zur Evolution des menschlichen Körpers veröffentlicht. Besonders bekannt sind seine Forschungen zur Evolution des menschlichen Kopfes wie zur Evolution des Gehens, insbesondere des Barfußgehens (daher auch sein Spitzname "Barfuß-Professor").

Klappentext

The assessment of greenhouse gases (GHGs) emitted to and removed from the atmosphere is high on both political and scientific agendas internationally. As increasing international concern and cooperation aim at policy-oriented solutions to the climate change problem, several issues have begun to arise regarding verification and compliance under both proposed and legislated schemes meant to reduce the human-induced global climate impact. The approaches to addressing uncertainty discussed in this volume attempt to improve national inventories or to provide a basis for the standardization of inventory estimates to enable comparison of emissions and emission changes across countries. Several authors use detailed uncertainty analyses to enforce the current structure of the emissions trading system while others attempt to internalize high levels of uncertainty by tailoring the emissions trading market rules. In all approaches, uncertainty analysis is regarded as a key component of national GHG inventory analyses.

Topics of interest include:

-national greenhouse gas emission inventories

-bottom-up versus top-down emission analyses

-signal detection and analysis techniques

-verification and compliance issues

-role of uncertainty in emissions trading schemes

-compliance and emissions trading under the Kyoto Protocol

Assessment of uncertainty can help improve inventories and manage risk. Through recognizing the importance of identifying and quantifying uncertainties, great strides can be made in the process of Accounting for Climate Change.

Inhalt
Accounting for Climate Change: Introduction.- Uncertainties of a Regional Terrestrial Biota Full Carbon Account: A Systems Analysis.- National Greenhouse Gas Inventories: Understanding Uncertainties versus Potential for Improving Reliability.- Practical Policy Applications of Uncertainty Analysis for National Greenhouse Gas Inventories.- Modeling Afforestation and the Underlying Uncertainties.- Spatial GHG Inventory: Analysis of Uncertainty Sources. A Case Study for Ukraine.- Prior to Economic Treatment of Emissions and Their Uncertainties Under the Kyoto Protocol: Scientific Uncertainties That Must Be Kept in Mind.- Processing National CO2 Inventory Emissions Data and their Total Uncertainty Estimates.- Extension of EU Emissions Trading Scheme to Other Sectors and Gases: Consequences for Uncertainty of Total Tradable Amount.- Compliance and Emissions Trading under the Kyoto Protocol: Rules for Uncertain Inventories.- The Impact of Uncertainty on Banking Behavior: Evidence from the US Sulfur Dioxide Emissions Allowance Trading Program.- Tradable Permit Systems: Considering Uncertainty in Emission Estimates.