Adaptation à court et à long terme de l'agriculture au risque de sécheresse : une approche par couplages de modèles biophysiques et économiques

Arnaud Reynaud
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引用次数: 24

Abstract

[paper in French] In this article, we analyse the impact of drought risk on agriculture. We use a biophysical crop growth model (STICS) in order to simulate crop yield under various climatic scenarios. A micro-economic model which optimises, under climate uncertainty, land allocation across crops and irrigation is developed to reflect farmer’s behaviour. This framework is used to assess the impact of drought risk on a representative French farmer located in the Midi-Pyrenees region (South-West of France). We first show that, on the short run, the private cost of a drought can be high. On the long run, farmers can however significantly reduce this cost by modifying their cropping systems. We finally demonstrate that French farmers may benefit from the implementation of early drought alert mechanisms.
农业对干旱风险的短期和长期适应:结合生物物理和经济模型的方法
在这篇文章中,我们分析了干旱风险对农业的影响。我们使用生物物理作物生长模型(STICS)来模拟不同气候情景下的作物产量。开发了一个微观经济模型,该模型在气候不确定性下优化作物和灌溉的土地分配,以反映农民的行为。该框架用于评估干旱风险对位于中比利牛斯地区(法国西南部)的一个有代表性的法国农民的影响。我们首先表明,在短期内,干旱的个人成本可能很高。然而,从长远来看,农民可以通过改变种植制度来显著降低这一成本。我们最后证明,法国农民可能受益于早期干旱预警机制的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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