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

Daniel Forster, Samuli Helama, Matthew T. Harrison, Clarence Alan Rotz, Jinfeng Chang, Phillippe Ciais, Elizabeth Pattey, Perttu Virkajärvi, Narasinha Shurpali
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引用次数: 2

Abstract

Past assessments report negative impacts of the climate crisis in boreal areas; but milder and shorter winters and elevated atmospheric CO2 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 N2O and NH3 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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北方环境农业生态模型的使用、校准和验证:综述
过去的评估报告了气候危机对北方地区的负面影响;但更温和和更短的冬季以及大气中二氧化碳含量升高可能为农业生产力提供机会,可能在未来的粮食安全中发挥重要作用。北方地区的耕地种植系统正在扩大,但该地区的支柱可能仍将是畜牧业生产。农业生态模型在经过适当校准和评估后,可以通过确定系统相互作用以及量化温室气体排放、土壤碳储量和肥料使用,促进提高生产力,同时最大限度地减少对环境的影响。虽然为温带和热带地区设计的模式很多,但专门为北方地区开发的模式很少,而且在北方地区现有模式的性能存在不确定性。我们回顾了在北方环境和管理系统中的模型性能。我们确定了北方地区模型研究的缺乏,自2000年以来每年发表的论文不超过三篇,这构成了一个重大的研究缺口。IFSM和BASGRA_N模型对草地产量的预测效果最好,DNDC模型对土壤N2O和NH3排放的预测效果最好。没有一个模型胜过所有其他模型,这加强了集成模型的情况。现有的农业生态模型值得进一步评价,为北方生态系统提供模型改进设计。
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