Forest Tenure

The Belgian climate policy is formulated at the federal level, requiring cooperation between regional and federal administrations. Around a fifth of the total area of Belgium is covered by forests. Around 80/ of the productive forests are in the Walloon region. Reported values for land use change and forestry categories give a potential of 2,057 kt eq. CO2 per year.

The Belgian climate policy is formulated at the federal level, requiring cooperation between regional and federal administrations. Around a fifth of the total area of Belgium is covered by forests. Around 80/ of the productive forests are in the Walloon region. Reported values for land use change and forestry categories give a potential of 2,057 kt eq. CO2 per year.

This manual provides methods for the development and evaluation of criteria and indicators (C&I) which can then be used to assess the sustainability of forest management.

This manual provides a comprehensive set of criteria and indicators (C&I) for sustainable forest management based on CIFOR’s research. This research was conducted by interdisciplinary teams of experts in large-scale natural forests managed for commercial timber production in Indonesia, Côte d’Ivoire, Brazil and Cameroon, with additional sites in Germany, Austria and USA.

This research note provides a brief look at the Danau Sentarum National Park (DSNP), West Kalimanta, Indonesia, and its vicinity after the end of the conservation project. It describes the current threats to the park which largely come in the form of boundary confusion, oil palm plantations, mining, logging, boundary disputes, and fisheries decline.

Scenario methods can be used to anticipate the future and expand the creativity of people thinking about complex forest management situations. This manual describes the use of scenarios with multiple stakeholders, with examples drawn from community-based forest management. Four classes of scenario methods are described: visions, projections, pathways and alternative scenarios.

Multi-Criteria Analysis (MCA) is a decision-making tool developed for complex problems. In a situation where multiple criteria are involved confusion can arise if a logical, well-structured decision-making process is not followed. Another difficulty in decision making is that reaching a general consensus in a multidisciplinary team can be very difficult to achieve.