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Water quality issues have become increasingly important to Australian catchment stakeholders. As extensive nutrient sampling and modelling expertise are often absent or unattainable, simple unit-area models like Catchment Management Support System (CMSS) remain an attractive option for informing water quality management decisions. The selection of nutrient generation rates for use in CMSS is often an arbitrary assignment based on limited literature sources or expert opinion. Using a Bayesian model to estimate nutrient generation rates for the region of Tasmania, Australia, improved the rigor of CMSS modelling and in the process highlighted that dairy pastures were the most significant contributor of total phosphorus and total nitrogen loads to Tasmanian rivers.

Item Type:	Refereed Article
Keywords:	Catchment Management Support System (CMSS), Bayesian model, Water quality, Nutrients, Dairy pastures
Research Division:	Environmental Sciences
Research Group:	Environmental management
Research Field:	Environmental management
Objective Division:	Environmental Management
Objective Group:	Fresh, ground and surface water systems and management
Objective Field:	Measurement and assessment of freshwater quality (incl. physical and chemical conditions of water)
UTAS Author:	Broad, S (Dr Shane Broad)
UTAS Author:	Corkrey, R (Dr Ross Corkrey)
ID Code:	63855
Year Published:	2011
Web of Science® Times Cited:	10
Deposited By:	Agricultural Science
Deposited On:	2010-06-04
Last Modified:	2017-11-02
Downloads:	0