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East African food security as influenced by future climate change and land use change at local to regional scales

机译:受未来气候变化和土地使用变化在地方到区域范围影响的东非粮食安全

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Climate change impacts food production systems, particularly in locations with large, vulnerable populations. Elevated greenhouse gases (GHG), as well as land cover/land use change (LCLUC), can influence regional climate dynamics. Biophysical factors such as topography, soil type, and seasonal rainfall can strongly affect crop yields. We used a regional climate model derived from the Regional Atmospheric Modeling System (RAMS) to compare the effects of projected future GHG and future LCLUC on spatial variability of crop yields in East Africa. Crop yields were estimated with a process-based simulation model. The results suggest that: (1) GHG-influenced and LCLUC-influenced yield changes are highly heterogeneous across this region; (2) LCLUC effects are significant drivers of yield change; and (3) high spatial variability in yield is indicated for several key agricultural sub-regions of East Africa. Food production risk when considered at the household scale is largely dependent on the occurrence of extremes, so mean yield in some cases may be an incomplete predictor of risk. The broad range of projected crop yields reflects enormous variability in key parameters that underlie regional food security; hence, donor institutions' strategies and investments might benefit from considering the spatial distribution around mean impacts for a given region. Ultimately, global assessments of food security risk would benefit from including regional and local assessments of climate impacts on food production. This may be less of a consideration in other regions. This study supports the concept that LCLUC is a first-order factor in assessing food production risk.
机译:气候变化影响粮食生产系统,特别是在人口众多,脆弱的地区。升高的温室气体(GHG)以及土地覆盖/土地利用变化(LCLUC)会影响区域气候动态。地形,土壤类型和季节性降雨等生物物理因素会严重影响农作物的产量。我们使用了来自区域大气模型系统(RAMS)的区域气候模型,比较了预计的未来温室气体和未来的LCLUC对东非作物产量空间变异的影响。使用基于过程的模拟模型估算作物产量。结果表明:(1)在这一地区,受温室气体影响和受LCLUC影响的产量变化高度异质; (2)LCLUC效应是产量变化的重要驱动力; (3)东非几个主要农业次区域的产量空间高变异性。从家庭规模考虑,粮食生产风险在很大程度上取决于极端事件的发生,因此在某些情况下,平均产量可能无法完全预测风险。预计的单产范围广泛,反映出构成区域粮食安全基础的关键参数的巨大差异;因此,捐助机构的战略和投资可能会受益于考虑给定区域平均影响周围的空间分布。最终,将气候变化对粮食生产的影响纳入区域和地方评估,将对粮食安全风险进行全球评估。在其他地区,这可能较少考虑。这项研究支持LCLUC是评估食品生产风险的首要因素这一概念。

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