小农农业系统的气候智慧型干预措施

A. Ullah, I. Ahmad, Habib-ur-Rehman, Umer Saeed, Ashfaq Ahmad, A. Mahmood, G. Hoogenboom
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引用次数: 7

摘要

在半干旱和干旱地区,农业非常容易受到温度和干旱的影响。农业社区尤其容易受到气候变化对作物和牲畜的潜在影响。据报道,到本世纪中叶,巴基斯坦的最高白天温度可能上升2.8°C,夜间温度可能下降2.2°C。本章的目标是引入气候智能型干预措施,作为缓解和适应战略,同时通过在现有种植系统中引入气候适应型作物,实现作物多样化。首先,它描述了气候变化对巴基斯坦当前粮食安全形势的影响,其次,潜在的气候智能干预措施,以应对该国的变化。作物模型及其在适应性开发中的应用、建模技术及其与育种的结合、遥感及其应用、政策干预和资源智能干预是气候变化背景下有利于农业社区未来农业发展的必要手段。在巴基斯坦的干旱和炎热地区,可以通过气候智能型干预措施挽救和认可引进适应气候变化的作物,在资源效率低下的地区,可以借助计算机和决策支持IT工具确定资源利用效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climate Smart Interventions of Small-Holder Farming Systems
Agriculture is very vulnerable to temperature and drought in semi-arid and arid regions. Farming communities are especially vulnerable to the potential impact of climate change on crop and livestock. For Pakistan, a potential increase of 2.8°C for the maximum day temperature and 2.2°C decrease in night temperature by the midcentury has been reported. The goal of this chapter is to introduce climate-smart interventions as mitigation and adaptation strategies coupled with crop diversifica-tion through the introduction of climate resilient crops in existing cropping systems. Firstly, it describes the impacts of climate change in context to current food security situation in Pakistan and, secondly, potential climate smart interventions to combat changes in the country. Crop models, their application for developing adaptations, modeling technique and its integration with breeding, remote sensing and its application, policy interventions and resource smart interventions in context to changing climate are imperative means to favor the farming community in future farming. Introducing climate resilient crops can be rescued and recognized in dry and hot areas of Pakistan using climate smart interventions and resource use efficiency may be determined with the aid of computer and decision support IT tools in resource inefficient areas.
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