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Showing items 1 through 9 of 19.There has long been an active debate in Haiti - as in many other developing countries - over whether or not the customary tenure system constrains technology adoption and agricultural development, and whether cadaster and land titling should be national priorities.
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.
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.
Developments in the international institutional context and in the capacity of governments to ensure sustainable forest management in Central Africa lead to new approaches to participatory management being explored.
Cette etude a ete realisee en 1997-98 par le CIFOR en collaboration avec les institutions et les chercheurs camerounais, grace a l'appui financier du DFID du Royaume-Uni.
A principal criterion for classifying a tourism operation as 'ecotourism' is that local residents at the site should receive substantial economic benefits, which serve both to raise local living standards and as enhanced incentives for nature conservation.
De Zeldersche Driesen is een klein natuurgebied in Noord-Limburg langs de rivier de Niers. Het bestaat uit bos en droge graslanden. De geschiedenis is vanaf 1660 in kaart gebracht, vooral het Kleefse kadaster heeft veel details van dit landschap aan het licht gebracht
Who Counts Most? Assessing Human Well-Being in Sustainable Forest Management presents a tool, ‘the Who Counts Matrix’, for differentiating ‘forest actors’, or people whose well-being and forest management are intimately intertwined, from other stakeholders.
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.