The remaining carbon stocks in wet tropical forests are currently at risk because of anthropogenic deforestation, but also because of the possibility of release driven by climate change. To identify the relative roles of CO2 increase, changing temperature and rainfall, and deforestation in the future, and the magnitude of their impact on atmospheric CO2 concentrations, we have applied a dynamic...

Deforestation remains one of the largest sources of global CO2 emissions, constituting around 17% of total emissions (Figure 1; Intergovernmental Panel on Climate Change, 2007a). When forests are converted to agriculture, most of the carbon in biomass is emitted into the atmosphere either through active burning, or through decay. Deforestation is rather common today in tropical regions (Brazil,...

In functional languages intermediate data structures are often used as glue to connect separate parts of a program together. Deforestation is the process of automatically removing intermediate data structures. In this thesis we present and analyse a new approach to deforestation. This new approach is both practical and general. We analyse in detail the problem of list removal rather than the mo...

Aragão and Shimabukuro (Reports, 4 June 2010, p. 1275) reported that fires increase in agricultural frontiers even as deforestation decreases and concluded that these fires lead to unaccounted carbon emissions under the United Nations climate treaty's tropical deforestation and forest degradation component. Emissions from post-deforestation management activities are, in fact, included in these ...

Fire-driven deforestation is the major source of carbon emissions from Amazonia. Recent expansion of mechanized agriculture in forested regions of Amazonia has increased the average size of deforested areas, but related changes in fire dynamics remain poorly characterized. We estimated the contribution of fires from the deforestation process to total fire activity based on the local frequency o...

Deforestation is estimated to cause about one quarter of anthropogenic carbon emissions. Only late, in 2005, Parties to the United Nations Framework Convention for Climate Change decided to start exploring approaches to reduce emissions from this major source. We carried out a global analysis of the potential effects of financial mechanisms to avoid deforestation. Avoiding deforestation is a lo...

We use land use data from Guatemala to estimate the impact of a community forest concession policy on avoided deforestation when accounting for group heterogeneity. Our analysis includes communities with significant forestry experience, along with communities comprising recent settlers with primarily agricultural backgrounds. Employing a matched difference-in-differences approach, we compare de...

This article examines the issue of deforestation on Sierra Leone's Freetown Peninsula, specifically analysingthe gap that exists between the rhetoric surrounding the problem of deforestation and the subsequentpolicies and projects that are implemented to address it. It is argued in this paper that this gap can be betterunderstood by examining how different actors involved in pol...

To address the need for timely information on newly deforested areas at medium resolution scale, we introduce a Bayesian approach to combine SAR and optical time series for near real-time deforestation detection. Once a new image of either of the input time series is available, the conditional probability of deforestation is computed using Bayesian updating, and deforestation events are indicat...

Classical deforestation methods fail to compose functions with accumulating parameters, which are function arguments to which intermediate result accumulates. This paper proposes a new deforestation method which solves this problem. The method is comprised of a few transformation steps, each of which is guided by type information. Though our solution draws its fundamental idea from a deforestat...