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2023 - Tavernet - Sensitivity & Uncertainty analyses for N-loss estimates by Overseer

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Sensitivity and uncertainty analyses provide information that helps to understand a science model’s performance and outputs. As the first step to better understanding N-loss estimates generated by the Overseer science model, sensitivity and uncertainty analyses were undertaken to identify key input parameters and interactions, that significantly alter model estimates for dairy, beef and sheep and cropping farm systems. 

2023. In: Diverse solutions for efficient land, water and nutrient Use. (Eds C.L Christensen, D.J.Horne and R.Singh). 

https://flrc.massey.ac.nz/workshops/23/paperlist23.html

Occasional Report No. 35. Farmed Landscapes Research Centre, Massey University, Palmerston North, New Zealand. 

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