Uncertainty in and around biophysical modelling: insights from interdisciplinary research on agricultural digitalization.

ABSTRACT: Agricultural digitalization is providing growing amounts of real-time digital data. Biophysical simulation models can help interpret these data. However, these models are subject to complex uncertainties, which has prompted calls for interdisciplinary research to better understand and communicate modelling uncertainties and their impact on decision-making. This article develops two corresponding insights from an interdisciplinary project in a New Zealand agricultural research organization. First, we expand on a recent Royal Society Open Science journal article (van der Bles et al. 2019 Royal Society Open Science 6, 181870 (doi:10.1098/rsos.181870)) and suggest a threefold conceptual framework to describe direct, indirect and contextual uncertainties associated w

SUBMITTER: Espig M 

PROVIDER: S-EPMC7813261 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature