A Model for comparing reduced impact logging with conventional logging for an Eastern Amazonian Forest


Autoria(s): MACPHERSON, Alexander J.; SCHULZE, Mark D.; CARTER, Douglas R.; VIDAL, Edson
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2010

Resumo

Using data from a logging experiment in the eastern Brazilian Amazon region, we develop a matrix growth and yield model that captures the dynamic effects of harvest system choice on forest structure and composition. Multinomial logistic regression is used to estimate the growth transition parameters for a 10-year time step, while a Poisson regression model is used to estimate recruitment parameters. The model is designed to be easily integrated with an economic model of decisionmaking to perform tropical forest policy analysis. The model is used to compare the long-run structure and composition of a stand arising from the choice of implementing either conventional logging techniques or more carefully planned and executed reduced-impact logging (RIL) techniques, contrasted against a baseline projection of an unlogged forest. Results from log and leave scenarios show that a stand logged according to Brazilian management requirements will require well over 120 years to recover its initial commercial volume, regardless of logging technique employed. Implementing RIL, however, accelerates this recovery. Scenarios imposing a 40-year cutting cycle raise the possibility of sustainable harvest volumes, although at significantly lower levels than is implied by current regulations. Meeting current Brazilian forest policy goals may require an increase in the planned total area of permanent production forest or the widespread adoption of silvicultural practices that increase stand recovery and volume accumulation rates after RIL harvests. Published by Elsevier B.V.

United States General Administration Office through the Latin America and Caribbean Department of the United States Agency for International Development[512-A-00-03-00026-00]

University of Florida through a National Science Foundation (NSF)[DGE-0221599]

Milton and Miriam Handler Foundation

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)[481097/2008-2]

Identificador

FOREST ECOLOGY AND MANAGEMENT, v.260, n.11, p.2002-2011, 2010

0378-1127

http://producao.usp.br/handle/BDPI/18992

10.1016/j.foreco.2010.08.050

http://dx.doi.org/10.1016/j.foreco.2010.08.050

Idioma(s)

eng

Publicador

ELSEVIER SCIENCE BV

Relação

Forest Ecology and Management

Direitos

restrictedAccess

Copyright ELSEVIER SCIENCE BV

Palavras-Chave #Brazilian Amazon #Model #Harvest #SWIETENIA MACROPHYLLA KING #BRAZILIAN-AMAZON #TIMBER PRODUCTION #TROPICAL FORESTS #GROWTH-MODEL #RAIN-FOREST #MANAGEMENT #YIELD #SUSTAINABILITY #DYNAMICS #Forestry
Tipo

article

original article

publishedVersion