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A Bayesian model of pasture curing


Daily, H and Corkrey, R, A Bayesian model of pasture curing, 22nd International Grassland Congress 2013, 15-19 September 2013, Sydney, Australia (2013) [Conference Extract]


Curing percentage (the percentage of dead material in the sward) is a necessary component of fire behaviour modelling and subsequent fire danger ratings in grasslands. Current methods of estimating curing have limitations. Curing is controlled by leaf turnover in grasses but individual leaf turnover rates of themselves do not give estimates of curing. Bayesian modelling provides the potential to incorporate leaf turnover rates representing the entire life cycle of each leaf into a standalone model of curing from which statistical summaries can be generated and used in field models. In this study, curing percentage was estimated over thermal time for four common C3 grasses, and tested against field data.

Item Details

Item Type:Conference Extract
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Crop and pasture production
Research Field:Agro-ecosystem function and prediction
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Forestry not elsewhere classified
UTAS Author:Daily, H (Ms Helen Daily)
UTAS Author:Corkrey, R (Dr Ross Corkrey)
ID Code:83945
Year Published:2013
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2013-03-31
Last Modified:2015-01-28

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