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Article Dans Une Revue Grassland Research Année : 2022

Use, calibration and verification of agroecological models for boreal environments: A review

Daniel Forster
Samuli Helama
Matthew T Harrison
Clarence Alan Rotz
Jinfeng Chang
Elizabeth Pattey
Perttu Virkajärvi
Narasinha Shurpali

Résumé

Abstract Past assessments report negative impacts of the climate crisis in boreal areas; but milder and shorter winters and elevated atmospheric CO 2 may provide opportunities for agricultural productivity potentially playing a significant role in future food security. Arable cropping systems are expanding in boreal areas, but the regional mainstay will likely continue to be livestock production. Agroecological models can when appropriately calibrated and evaluated, facilitate improved productivity while minimising environmental impacts by identifying system interactions, and quantifying greenhouse gas emissions, soil carbon stocks and fertiliser use. While models designed for temperate and tropical zones abound, few are developed specifically for boreal zones, and there is uncertainty around the performance of existing models in boreal areas. We reviewed model performance across boreal environments and management systems. We identified a dearth of modelling studies in boreal regions, with the publication of three or less papers per year since the year 2000, constituting a significant research gap. Models IFSM and BASGRA_N performed best in grassland production, DNDC best in predicting soil N 2 O and NH 3 emissions. No model outperformed all others, strengthening the case for ensemble modelling. Existing agroecological models would be worthy of further evaluation, providing model improvements designed for boreal systems.
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hal-04624436 , version 1 (25-06-2024)

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Daniel Forster, Samuli Helama, Matthew T Harrison, Clarence Alan Rotz, Jinfeng Chang, et al.. Use, calibration and verification of agroecological models for boreal environments: A review. Grassland Research, 2022, 1 (1), pp.14 - 30. ⟨10.1002/glr2.12010⟩. ⟨hal-04624436⟩
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