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Advancing place-based crop modelling for global adaptation to crop waterlogging
Citation
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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Official URL: https://earthenvironmentcommunity.nature.com/posts...
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 |
| Downloads: | 0 |
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