2007
DOI: 10.1016/j.foreco.2006.10.014
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A generalised hybrid process-empirical model for predicting plantation forest growth

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Cited by 39 publications
(27 citation statements)
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References 17 publications
(24 reference statements)
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“…Estimates of F LUC are calculated using the Australian National Carbon Accounting System (NCAS), a greenhouse accounting framework for the land sector. It is based on spatially explicit ecosystem modelling that uses extensive groundbased datasets for parameterization and validation, and Landsat data time series at 25-m resolution (Richards and Brack, 2004;Waterworth and Richards, 2008;Waterworth et al, 2007).…”
Section: Land Use Change and Harvestmentioning
confidence: 99%
“…Estimates of F LUC are calculated using the Australian National Carbon Accounting System (NCAS), a greenhouse accounting framework for the land sector. It is based on spatially explicit ecosystem modelling that uses extensive groundbased datasets for parameterization and validation, and Landsat data time series at 25-m resolution (Richards and Brack, 2004;Waterworth and Richards, 2008;Waterworth et al, 2007).…”
Section: Land Use Change and Harvestmentioning
confidence: 99%
“…The non-linear growth formulation typically used in evenaged forestry (e.g. Waterworth et al, 2007) has been used to model reforestation by semiarid plantations (Paterson and Bryan, 2012). The function has two dependent variables (the potential biomass and the age of fastest growth, called 'G' -the inflection point of the growth curve).…”
Section: Biomass Growth Modellingmentioning
confidence: 99%
“…Recent critical review of FullCAM shows that it systematically under-predicts aboveground forest carbon in medium open Eucalyptus forests (e.g., [11][12][13]). Therefore to realize the full potential of FullCAM its parameters should be tested for correlation with empirical measurements of forest carbon followed by independent validation as has been done for environmental plantings [14,15] and plantation forests [16,17].…”
Section: Introductionmentioning
confidence: 99%