Use of 3-PG and 3-PGS to simulate forest growth dynamics of Australian tropical rainforests II. An integrated system for modelling forest growth and scenario assessment within the wet tropics bioregion
Date
2008
Authors
Nightingale, J.M.
Hill, Michael
Phinn, Stuart
Davies, Ian
Held, Alex
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Elsevier
Abstract
Regional model analyses of forest growth are critical for capturing global aspects of tropical rainforest carbon exchange. This research presents the development of a multi-model approach for assessing forest growth and biomass accumulation within the wet tropics bioregion (WTB) based on 10 years of available data and existing model parameter sets. The Tropical Rainforest Growth (TRG) model system employs the 3-PG and 3-PGS models to account for both old-growth rainforest and forest regeneration from seedlings in response to human-induced and natural disturbances. Above-ground biomass (AGB) stocks of the mature forest throughout the WTB for 2000 were estimated to be ∼202 t C/ha. Replacement of areas of old-growth with commercial timber plantations decreased overall AGB stocks to approximately 146 t C/ha. However, plantation carbon accumulation rates were higher than the mature rainforest, representing their potential to accumulate more biomass over a longer analysis time period. As tropical cyclones may significantly alter the carbon stocks of old-growth rainforests, the effect of tropical cyclone Rona on the WTB was assessed. The cyclone had a minimal impact on total AGB stocks within the region, yet these systems are an important factor to be considered in carbon and forest regeneration modelling activities in the tropics. The TRG system is an advanced modelling tool providing a rapid process-based assessment of biomass stocks and accumulation dynamics within Australia's tropical rainforest bioregion and has the potential for application in tropical forest ecosystems at both national and international levels.
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Keywords: Biomass; Carbon; Ecosystems; Storms; Timber; Australia; Carbon dynamics; Integrated systems; North Queensland tropical rainforest; Scenario modeling; Forestry; anthropogenic effect; assessment method; carbon cycle; carbon sequestration; environmental dist Australia; Carbon dynamics; North Queensland tropical rainforest; Scenario modelling
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Source
Forest Ecology and Management
Type
Journal article
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2037-12-31
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