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Irrigation modelling needs better epistemology

Authors :
Puy, Arnald
Massimi, Michela
Lankford, Bruce
Saltelli, Andrea
Source :
Puy, A, Massimi, M, Lankford, B & Saltelli, A 2023, ' Irrigation modelling needs better epistemology ', Nature Reviews Earth & Environment . https://doi.org/10.1038/s43017-023-00459-0
Publication Year :
2023

Abstract

Modelling of irrigation water withdrawals aims for accurate and relatively objective estimates, but three epistemological obstacles (the models’ elusive tie to reality, the issue of model plurality, and the indeterminacy of the target system) make this premise unattainable. However, if used to explore possibilities within the known and unknown, irrigation models can overcome these problems to inform action.

Details

Language :
English
Database :
OpenAIRE
Journal :
Puy, A, Massimi, M, Lankford, B & Saltelli, A 2023, ' Irrigation modelling needs better epistemology ', Nature Reviews Earth & Environment . https://doi.org/10.1038/s43017-023-00459-0
Accession number :
edsair.od......3094..ed11f2daefc008f150344804cea12cf9
Full Text :
https://doi.org/10.1038/s43017-023-00459-0