Australian and Queensland Government's Reef 2050 Water Quality Improvement Plan has set targets for improving the water quality entering the Great Barrier Reef lagoon. Given the large public investment and the deficit of data linking on-farm land management to changes in environmental outcomes, there is a need for a robust and efficient methods of quantifying links between land management and water quality. This paper explores a pragmatic approach to making this link using available data. We demonstrate that a simple parameterisation process is suitable for estimating hydrology and water quality across a wide range of land uses and management practices in agricultural landscapes. However, a manually calibrated model may still require the analysis of parameters to reduce error variances and evaluate uncertainties. Confidence in estimating hydrology and water quality in descending order is: runoff, sediment, nitrogen, phosphorous, and pesticide losses, reflecting the availability of data and inherent error propagation.

澳大利亚和昆士兰州政府的《 2050年礁石水质改善计划》设定了改善进入大堡礁泻湖的水质的目标。鉴于大量的公共投资以及将农田土地管理与环境结果变化相关联的数据不足，因此需要一种强有力且有效的方法来量化土地管理与水质之间的联系。本文探讨了使用可用数据建立此链接的实用方法。我们证明了简单的参数化过程适用于评估农业景观中广泛的土地利用和管理实践中的水文和水质。但是，手动校准的模型可能仍需要对参数进行分析，以减少误差方差并评估不确定性。