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Stand Density Management Diagrams for Three Exotic Tree Species in Smallholder Plantations in Vietnam
Authors:Sebastian Schnell  Christoph Kleinn  Juan Gabriel álvarez González
Institution:1. Chair of Forest Inventory and Remote Sensing, Georg-August-Universit?t G?ttingen, B??sgenweg 5, 37077, G?ttingen, Germany
2. Department of Forest Resource Management, Swedish University of Agricultural Sciences, Skogsmarksgr?nd, 90183, Ume?, Sweden
3. Departamento de Ingener??a Agroforestal, Unidade de Xesti??n Forestal Sostible, Universidad de Santiago de Compostela, Campus Universitario, 27002, Lugo, Spain
Abstract:When smallholder farmers establish tree plantations to sell wood to the wood industry, they may run into problems when the plantations are mature and to be marketed because these farmers usually (1) do not know how to estimate the growing stock and (2) do not have sufficient knowledge of the wood markets. In this study, we tackle problem (1) and present stand density management diagrams (SDMDs) as a simple tool that allows rapid estimation of standing volume from data that stem from very basic inventory. Our data come from smallholder plantations in Vietnam, from four communes in the provinces of Binh Dinh and Phu Tho. Immense afforestation activities have been taken place in the country during the past two decades and it is special to Vietnam that a large share of these afforestations are under smallholder management with the goal to generate an additional source of income for these rural poor. A certain type of SDMDs is elaborated for three important exotic tree species commonly used for establishing industrial tree plantations (Acacia hybrid, Acacia mangium and Eucalyptus urophylla). They can be used for volume estimation and are also a tool to guide stand management and silvicultural treatments in general. Both implementation of the inventory and usage of the SDMDs are straightforward and simple so that this tool may be well suited to support smallholders in a better informed marketing of their wood, as well as, a better informed silvicultural management of their plantations.
Keywords:
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