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Título: Growth-Oriented Logging (GOL): A new concept towards sustainable forest management in Central Amazonian várzea floodplains
Autor(es): Jochen Schongart
Assunto: Amazon
sustainable forest management
ISSN: 0378-1127
Revista: Forest Ecology and Management
Volume: 256
Resumo: Against a background of increasing human populations in developing countries, and global climate change, conservation of tropical forests remains one of the most important ecological challenges of our time. One of the biggest difficulties for ecologically sustainable management of tropical forests is obtaining reliable growth data for trees, which is a prerequisite for determining harvesting volumes and cutting cycles. GOL is the first concept for sustainable management of tropical timber resources in Amazonian floodplain forests (varzea) based on species-specific management criteria, such as minimum logging diameters (MLDs) and cutting cycles. From timber species with varying wood densities of different successional stages, volume stocks have been estimated in 1-ha plots and 12 growth models have been developed based on tree rings, which are annually formed as a consequence of the regular, long-term flooding. The MLDs of timber species vary between 47 and 70 cm and the estimated cutting cycles differ the 10-fold, from 3 to 32 years. These enormous differences in the growth rates between tropical timber species are not considered in current management practices, which apply only one diameter cutting limit and one cutting cycle to harvest many tree species. This practice risks the overexploitation of slow-growing timber species, while the fast-growing timber species with low wood densities cannot be efficiently used. Based on the timber stocks and lifetime growth rates, the GOL concept has been created as an aid to improve forest management in the Central Amazonian varzea. The model is unique for tropical silviculture. (C) 2008 Elsevier B.V. All rights reserved.
ISSN: 0378-1127
Aparece nas coleções:Coordenação de Dinâmica Ambiental (CDAM)

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