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The Center for International Forestry Research (CIFOR) is a non-profit, scientific facility that conducts research on the most pressing challenges of forest and landscapes management around the world. With our global, multidisciplinary approach, we aim to improve human well-being, protect the environment, and increase equity. To do so, we help policymakers, practitioners and communities make decisions based on solid science about how they use and manage their forests and landscapes.
Capacity building, collaboration and partnerships are essential to finding and implementing innovative solutions to the challenges that the globe faces. We are proud to work with local and international partners. We are a member of the CGIAR Consortium and lead the CGIAR Research Program on Forests, Trees and Agroforestry.
Our headquarters are in Bogor, Indonesia. We have offices in 8 countries across Asia, Latin America and Africa, and we work in more than 30 countries. Contact us for more information.
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Displaying 746 - 750 of 808Self-governance and forest resources
Forest resources share attributes with many other resource systems that make difficult their governance and management in a sustainable, efficient and equitable manner. Destruction or degradation of forest resources is most likely to occur in open-access forests where those involved, or external authorities, have not established effective governance. Conventional theories applied to forest resources presumed that forest users themselves were incapable of organizing to overcome the temptations to overharvest.
Scoring and analysis guide for assessing human well-being
The Scoring and Analysis Guide for Assessing Human Well-Being is designed to supplement The BAG and The Grab Bag. It provides a scoring method that can be used with the two manuals, to come to a decision about particular criteria and indicators in particular forest and human settings. Following the section on scoring is a section on analysis. It begins very simply, leading the user through the steps of making a spreadsheet, and concluding with more complex statistical analyses that may be desirable in some circumstances.