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A Bayesian model of pasture curing

Citation

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]

Abstract

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 and Veterinary 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
Author:Daily, H (Ms Helen Daily)
Author:Corkrey, R (Dr Ross Corkrey)
ID Code:83945
Year Published:2013
Deposited By:TIA - Research Institute
Deposited On:2013-03-31
Last Modified:2015-01-28
Downloads:0

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