Estimating emissions from deforestation and degradation of forests in many developing countries is so uncertain that the effects of changes in forest management could remain within error ranges (i.e. undetectable) for several years. Meanwhile UNFCCC Parties need consistent time series of meaningful performance indicators to set credible benchmarks and allocate REDD+ incentives to the countries, programs and activities that actually reduce emissions, while providing social and environmental benefits. Introducing widespread measuring of carbon in forest land (which would be required to estimate more accurately changes in emissions from degradation and forest management) will take time and considerable resources. To ensure the overall credibility and effectiveness of REDD+, parties must consider the design of cost-effective systems which can provide reliable and comparable data on anthropogenic forest emissions. Remote sensing can provide consistent time series of land cover maps for most non-Annex-I countries, retrospectively. These maps can be analyzed to identify the forests that are intact (i.e. beyond significant human influence), and whose fragmentation could be a proxy for degradation. This binary stratification of forests biomes (intact/non-intact), a transition matrix and the use of default carbon stock change factors can then be used to provide initial estimates of trends in emission changes. A proof-of-concept is provided for one biome of the Democratic Republic of the Congo over a virtual commitment period (2005)(2006)(2007)(2008)(2009)(2010). This approach could allow assessment of the performance of the five REDD+ activities (deforestation, degradation, conservation, management and enhancement of forest carbon stocks) in a spatially explicit, verifiable manner. Incentives could then be tailored to prioritize activities depending on the national context and objectives.
Sustainable forest management is a key challenge for local and global governance. The Forest Stewardship Council has emerged as one of the solutions to global forest deterioration and is generally regarded as the prime example of certification as a global governance tool. This article examines the macro-effectiveness of certification on halting deforestation and examines the relationship between certification and governance institutions. The article finds that the macroeffectiveness of certification on halting deforestation is still limited due to the "stuck at the bottom" problem of developing countries, which are kept out of the certification process, and the marketdriven nature of certification initiatives. The article does not find a relationship between certification and governance institutions at the macro level. It does find, however, significant variation in certification uptake between countries, pointing to the potential of this policy tool. The implications of the results are discussed.
The debate on land use change (LUC), as concerns energy production, is most popularly focused on biofuel production. However extraction of fossil fuels can also have significant LUC implications. Especially as “heavy oil” resources that require mining-style as opposed to drilling extraction are “tapped”, ecosystem disruption in biodiversity hotspots could be more impactful than vast agricultural changes. In this featured article, Gorissen et al. comment on the parameters to consider.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.