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Metodologias para evaluar la aplicacion de criterios e indicadores en el manejo forestal de bosques tropicales en America Latina
handle: 10568/18517
Criteria and indicators to evaluate forest management (C&I) facilitate the understanding of and communication about sustainability. Thus an increasing number of national and international initiatives defined C&I sets for certification, monitoring and auditing of forest management. Because of the variety of C&I applications and the heterogeneity of C&I users, the demands and requirements on C&I in relation to application, evaluation and interpretation are diverse. To ensure viability and acceptance of C&I based forest management tools, this diversity has to be considered in the process of developing C&I sets. Based on a revision of C&I initiatives in Latin America, experiences made by the Center for International Forestry Research (CIFOR) and consultations with experts, the paper identifies and discusses the demands and requirements related to the application of C&I and its practical implications.
- CGIAR France
- CGIAR France
- CGIAR Consortium France
- CGIAR Consortium France
tropical forests, criteria, forest management, methodology, sustainability, development, indicators
tropical forests, criteria, forest management, methodology, sustainability, development, indicators
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
