A number of international donors, national governments and project proponents have begun to lay the groundwork for REDD+, but tenure insecurity – including the potential risks of land grabbing by outsiders and loss of local user rights to forests and forest land – is one of the main reasons that many indigenous and other local peoples have publicly opposed it. Under what conditions is REDD+ a threat to local rights, and under what conditions does it present an opportunity?

Although the importance of science, in both desertification control and other types of environmental governance, has been emphasized by many studies, little is known about how science influences institutional changes. Based on a method combining surveys, interviews, observation, and a meta-analysis of the literature, this study explored the roles of science in institutional changes associated with desertification control in northern China.

The principle of “Free, Prior and Informed Consent” (FPIC) is promoted through international agreements and safeguards in order to strengthen social equity in resource management by requiring consent from indigenous and/or local communities prior to actions that affect their land and resource rights. Based on early experiences with implementing FPIC standards in mining and forestry, we examine how FPIC has impacted social equity and why. In both sectors FPIC was first operationalized through non-governmental standards that revealed ambiguities surrounding its definition and implementation.

Global consumption of natural resources and ecological degradation continues unabated as a result of human activity and economic growth in countries individually and collectively. Therefore, it is becoming increasingly important to determine the countries that are the main drivers of ecological change. This study provides rankings of countries according to their impact on global natural resource consumption and ecological degradation, based on aggregate impact (across categories/variables) and ranking within each category/variable separately.

There is an ongoing debate on the effect different property regimes have on the use of natural resources and land conversion (i.e., deforestation or reforestation). Much of the discussion has been centered on the two main forms of tenure regime: common-pool system and private property. Case studies around the world have provided evidence on whether one is more effective at preventing deforestation than the other, but there is not a clear pattern. Part of the problem is that evidence comes from theoretical models or isolated case studies instead of comparative studies across large areas.

Pricing greenhouse gas emissions is a burgeoning and possibly lucrative financial means for climate change mitigation. Emissions pricing is being used to fund emissions-abatement technologies and to modify land management to improve carbon sequestration and retention. Here we discuss the principal land-management options under existing and realistic future emissions-price legislation in Australia, and examine them with respect to their anticipated direct and indirect effects on biodiversity.

This paper describes the development and implementation of a method to measure the transaction costs in situations of multiple land-use, where the actions of one actor have negative effects on the other and vice versa (i.e., where the two actors’ usage patterns are interdependent). In situations where more than one agent is using a limited resource, transaction costs arise, which may affect the governance of that resource. For example, in northern Sweden the forestry and reindeer husbandry sectors incur transaction costs during consultations over land-use management.

SUMMARYIn this article we discuss the two largest reforestation and forest conservation programmes in China, the Natural Forest Protection Programme (NFPP), and the Slope Land Conversion Programme (SLCP, also called Grain for Green), introduced in 1998. The NFPP reformed the state forest enterprises to reduce deforestation, increase the amount of forestland to be protected, and increase the sustainability of logging, while improving their financial viability. The SLCP reformed collective (i.e.

This paper contributes to identification of key trends, opportunities and constraints for development of afforestation/reforestation projects (AR) under the Clean Development Mechanism (CDM). It reports on analysis of survey results particularly addressing CDM-AR projects in South and South-East Asia (SSEA), and on knowledge obtained from both (i) experts in SSEA countries and (ii) developers, investors and consultants in the Annex I countries. Despite a wide variety of opinions, respondents from both groups expressed a number of similarities in their vision.

Land use reflects the needs, demands and values of human society. We can see two antagonistic trends of land use change in Slovakia over the past few decades. Land use change towards more intensive in some areas (vicinity of cities, highways, lowlands), but others (uplands and mountains with traditionally agricultural used) are abandoned and left to their own spontaneous dynamic. The abandonment of agriculture is a pattern common to all industrialized countries, especially in hilly and mountain ranges (Farina, A., 2007).

Although protected areas in Africa contain possibly the highest repositories of carbon and thus can play a role in mitigating the effects of climate change through carbon sequestration, they are threatened due to increasing levels of deforestation and forest degradation (DFD). However, little information is available on the on-site causes of DFD in these areas. This paper estimates the levels of DFD and identifies the drivers in the Ankasa Conservation Area (ACA) in Ghana as a case study. A survey was used to identify both direct and underlying factors that promote the DFD.

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.