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Advancing place-based crop modelling for global adaptation to crop waterlogging


Harrison, MT and Zhou, Meixue and Liu, K, Advancing place-based crop modelling for global adaptation to crop waterlogging, Nature Community, 13 February 2023 pp. 1-5. (2023) [Professional, Non Refereed Article]

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Item Details

Item Type:Professional, Non Refereed Article
Keywords:Waterlogging, extreme rainfall, soil, genetic, barley, wheat, maize, rice, food security, energy, modeling, production, yield, simulation, flash flooding, extreme event, award, prize, accolade, cropping system, adaptation, climate variability, model
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Agriculture, land and farm management
Research Field:Agricultural land planning
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Adaptation to climate change
Objective Field:Climate change adaptation measures (excl. ecosystem)
UTAS Author:Harrison, MT (Associate Professor Matthew Harrison)
UTAS Author:Zhou, Meixue (Professor Meixue Zhou)
UTAS Author:Liu, K (Dr Ke Liu)
ID Code:155336
Year Published:2023
Deposited By:TIA - Research Institute
Deposited On:2023-02-14
Last Modified:2023-02-14

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