Suchergebnisse

Deforestation, forest degradation, and land-use change are a major source of carbon emissions. The Copenhagen Accord recognised the crucial role of reducing emissions from deforestation, emphasized the role of forests in climate change mitigation, and called for the immediate establishment of a REDD+ mechanism. Most likely, it will form an integral part of the future climate change regime. For many developed countries, REDD+ seems to be an attractive option to achieve part of their reduction targets through investments in developing countries. For some developing countries, this offers an additional source of financing to support sustainable forest management and to boost their development plans and poverty-reduction strategies. This paper analyses the challenges and major gaps that developing countries are facing when planning their national strategies for the implementation of REDD+ schemes. We conclude that REDD+ as a climate change mitigation instrument will only be able to proceed at a pace that allows the meaningful participation of all relevant stakeholders in consensus-building. When the REDD+ enters the markets, the rights of local communities to forest land and carbon will need to be clarified and secured. Successful implementation of REDD+ will, in most cases, require strengthening the stake of local communities for managing their forest carbon assets and allowing them to benefit fully from emerging carbon markets and other funding schemes. Governments will need to renew their institutions and adopt new approaches to handle these challenges by including the role of forests in climate change mitigation as an integral part of their development plans and policies.

Emission of greenhouse gases (GHGs) and removals from land, including both anthropogenic and natural fluxes, require reliable quantification, including estimates of uncertainties, to support credible mitigation action under the Paris Agreement. This study provides a state-of-the-art scientific overview of bottom-up anthropogenic emissions data from agriculture, forestry and other land use (AFOLU) in the European Union (EU281). The data integrate recent AFOLU emission inventories with ecosystem data and land carbon models and summarize GHG emissions and removals over the period 1990–2016. This compilation of bottom-up estimates of the AFOLU GHG emissions of European national greenhouse gas inventories (NGHGIs), with those of land carbon models and observation-based estimates of large-scale GHG fluxes, aims at improving the overall estimates of the GHG balance in Europe with respect to land GHG emissions and removals. Whenever available, we present uncertainties, its propagation and role in the comparison of different estimates. While NGHGI data for the EU28 provide consistent quantification of uncertainty following the established IPCC Guidelines, uncertainty in the estimates produced with other methods needs to account for both within model uncertainty and the spread from different model results. The largest inconsistencies between EU28 estimates are mainly due to different sources of data related to human activity, referred to here as activity data (AD) and methodologies (tiers) used for calculating emissions and removals from AFOLU sectors.

Emission of greenhouse gases (GHGs) and removals from land, including both anthropogenic and natural fluxes, require reliable quantification, including estimates of uncertainties, to support credible mitigation action under the Paris Agreement. This study provides a state-of-the-art scientific overview of bottom-up anthropogenic emissions data from agriculture, forestry and other land use (AFOLU) in the European Union (EU281). The data integrate recent AFOLU emission inventories with ecosystem data and land carbon models and summarize GHG emissions and removals over the period 1990–2016. This compilation of bottom-up estimates of the AFOLU GHG emissions of European national greenhouse gas inventories (NGHGIs), with those of land carbon models and observation-based estimates of large-scale GHG fluxes, aims at improving the overall estimates of the GHG balance in Europe with respect to land GHG emissions and removals. Whenever available, we present uncertainties, its propagation and role in the comparison of different estimates. While NGHGI data for the EU28 provide consistent quantification of uncertainty following the established IPCC Guidelines, uncertainty in the estimates produced with other methods needs to account for both within model uncertainty and the spread from different model results. The largest inconsistencies between EU28 estimates are mainly due to different sources of data related to human activity, referred to here as activity data (AD) and methodologies (tiers) used for calculating emissions and removals from AFOLU sectors.