• CONTEXT : An inequitable distribution of the costs and benefits of carbon forestry could undermine its role in tackling climate change, but safeguarding local livelihoods could undercut its effectiveness. • AIMS : We simulate a reforestation program in a densely populated locality in central Mexico to analyze indirect land-use change, or leakage, associated with the program and its implications for local livelihoods. • METHODS : An agent-based, general equilibrium model simulates scenarios that deconstruct the sources of leakage and livelihood outcomes.

An accurate estimate of carbon fluxes associated with tropical deforestation from the last two decades is needed to balance the global carbon budget. Several studies have already estimated carbon emissions from tropical deforestation, but the estimates vary greatly and are difficult to compare due to differences in data sources, assumptions, and methodologies. In this paper, we review the different estimates and datasets, and the various challenges associated with comparing them and with accurately estimating carbon emissions from deforestation.

Bangladesh, with a forest cover estimated at 17.08% of all land surface area, has experienced massive degradation of its natural resources and a conside­rable change in its land cover. While deforestation in Bangladesh is obviously a complex issue, one important aspect emerges from previous research findings in explaining deforestation: industrialization. This study focuses on the causes of deforestation in Bangladesh, particularly in tropical moist deciduous Sal forests, using multi levels factor analysis framework.

The Zagros region of western Iran has been affected by the recent changes both in amount and in structure of forest cover. We evaluated the influence of several driving forces on forest cover and structure, including socioeconomic (urban and rural population and rural income) and climatic (mean annual rainfall and mean annual temperature) variables. We acquired all time series Landsat images of a study site from 1972 to 2009. The images were classified to produce a land cover map of each year.

Temporal variations in land-atmosphere water vapor exchange are more pronounced in seasonal environments, especially grass-dominated savannas (known as campo sujo Cerrado) of the southern and eastern Amazon Basin. Recent work in campo sujo indicates that rates of canopy conductance (gc) were directly and indirectly affected by a variety of meteorological variables, which limited our understanding of how seasonal variation in meteorology affected rates of gc. Thus, our overall objective here is to determine how individual meteorological variables affect seasonal variations in gc.

This article presents a system dynamics (SD) method to examine the problem of forest degradation. The model developed takes a system-oriented view of forest management, embracing both social and biophysical factors affecting deforestation. Social factors examined are socio-economic variables or elements that influence behaviour and decision-making choices at the household level. Biophysical factors are four sub-components that are considered major land uses namely, the paddy field component, rattan plantations, coffee plantations and forest stands.

Recognized as one of the richest and most extensive savannas in the world, the Cerrado region, the second largest biome in South America, presents an intense and continuous human-induced land-cover change, which has already affected around 40% of its original area. In the pursuit of orientation and planning for current and long-term occupation, in this work we present plausible deforestation scenarios for the entire Cerrado biome, to 2050.

China has a long history of deforestation and environmental degradation. Because China is also lacking biological reserves, off-reserve conservation is a major contributor to its conservation efforts. Off-reserve conservation in China is primarily being achieved within afforestation and low-intensity agriculture. We compare ant diversity of three habitats: Natural Forest, Disturbed Forest and Plantation, to assess the conservation potential of these multiple land uses.

This paper examines the size and intensity of changes among five land categories during the two time intervals in a region of Indonesia that is pioneering negotiations concerning reducing emissions from deforestation and forest degradation (REDD). Maps at 1973, 1993, and 2005 indicate that land-cover change is accelerating, while carbon loss is decelerating in Jambi Province, Sumatra. Land dynamics have shifted from Forest loss during 1973–1993 to Agroforest loss during 1993–2005.

North Korea used to have abundant forest stocks but underwent substantial deforestation and degradation of forest in recent decades. This study examined morphological changes of forest cover in North Korea between the 1980s and 2000s. Land cover data based on Landsat TM imagery were obtained as images from the Republic of Korea’s Ministry of Environment. The images were processed and used for the morphological spatial pattern analysis (MSPA) and network analysis. MSPA classified the forest cover into morphological classes such as core, islet, bridge, perforation, edge, loop, and branch.

This work compares the effects of neoliberal and post-neoliberal land-use policies on forest cover along the Corredor Bioceánico of southeastern Bolivia to determine if rates of agriculturally driven forest clearance have changed since the Morales’ administration came to office in 2005. Satellite image analysis, supported by semi-structured interviews with farmers and representatives of key institutions, shows that deforestation for commercial agriculture in Santa Cruz continues and has increased in certain “hotspots”.

If tropical farmers cannot be provided with sustainable land‐use systems, which address their subsistence needs and keep them gainfully employed, tropical forests will continue to disappear. We looked at the ability of economic land‐use diversification – with reforestation of tropical “wastelands” as a key activity – to halt deforestation at the farm level.