Estimating annual generation rates of total P and total N for different land uses in Tasmania, Australia

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.