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首页> 外文期刊>Ecological indicators >Modelling biophysical vulnerability of wheat to future climate change: A case study in the eastern Australian wheat belt
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Modelling biophysical vulnerability of wheat to future climate change: A case study in the eastern Australian wheat belt

机译:对未来气候变化的小麦生物物理脆弱性建模 - 以东澳大利亚麦皮带为例

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摘要

Assessing the vulnerability of agriculture to climate change can identify knowledge gaps and direct where adaptation options are required. However, determining the vulnerability of agricultural production to climate change is a challenge due to the complex nature of the problem. We propose a climate-crop modelling approach illustrated by using the APSIM crop model forced with daily climate data as a case study in eastern Australia to assess the biophysical vulnerability of wheat to future climate change. This impact assessment is based on the Intergovernmental Panel on Climate Change's definition of vulnerability as a derivative of exposure, sensitivity and adaptive capacity. We selected one Global Climate Model (GCM) CSIRO-Mk3-6-0 representing dry conditions under high emission scenarios to explore the feasibility of proposed methodology. Our results show that, historically, the most vulnerable areas were the western parts of the wheat belt, accounting for 18% of the total wheat-growing area. However, areas of very high vulnerability would expand to central and eastern parts of the wheat belt into the future, accounting for 41% of the study area in the 2040s and 62% in the 2080s. With increased exposure to dry climate, adjusting sowing time and cultivar shift consistently improved wheat yield but were insufficient to decrease wheat vulnerability. We found the key driver for increased vulnerability was increased exposure to dry climate. We expect this study will help growers, farm advisors and state policymakers to adopt relevant adaptation strategies and promote efficient farming practices such as breeding drought-tolerant crop cultivars in highly vulnerable western areas.
机译:评估农业对气候变化的脆弱性可以识别所需适应选择的知识差距和直接。然而,确定农业生产对气候变化的脆弱性是由于问题的复杂性造成的挑战。我们提出了一种通过使用日常气候数据的APSIM作物模型来提出一种气候作物建模方法,作为澳大利亚东部的案例研究,以评估小麦对未来气候变化的生物物理脆弱性。这种影响评估基于政府间气候变化的政府间小组对暴露,敏感性和自适应能力的衍生物的衍生物的定义。我们选择了一个全球气候模型(GCM)CSIRO-MK3-6-0,在高排放场景下表示干燥条件,以探讨所提出的方法的可行性。我们的结果表明,历史上看,最脆弱的地区是小麦带的西部,占小麦种植面积的18%。然而,非常高的脆弱性地区将扩大到小麦带的中东地区到未来,占20世纪40年代的研究区的41%,20世纪80年代的62%。随着暴露于干燥气候的暴露,调节播播时间和品种始终如一地提高小麦产量但不足以减少小麦脆弱性。我们发现增加脆弱性的关键驱动因素是增加了干旱气候的暴露。我们预计这项研究将帮助种植者,农场顾问和国家政策制定者采用相关的适应策略,促进高效的农业培养,如高度脆弱的西部地区。

著录项

  • 来源
    《Ecological indicators》 |2020年第7期|106290.1-106290.9|共9页
  • 作者单位

    Wagga Wagga Agr Inst NSW Dept Primary Ind Wagga Wagga NSW 2650 Australia;

    Wagga Wagga Agr Inst NSW Dept Primary Ind Wagga Wagga NSW 2650 Australia|Northwest A&F Univ State Key Lab Soil Eros & Dryland Farming Loess P Yangling 712100 Shaanxi Peoples R China;

    Wagga Wagga Agr Inst NSW Dept Primary Ind Wagga Wagga NSW 2650 Australia|Univ New South Wales Climate Change Res Ctr Sydney NSW 2052 Australia|Univ New South Wales ARC Ctr Excellence Climate Extremes Sydney NSW 2052 Australia;

    NSW Dept Primary Ind 34 Hampden St Dubbo NSW 2830 Australia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Agricultural vulnerability; Adaptive capacity; Wheat yield; Crop modelling; APSIM;

    机译:农业脆弱性;适应能力;小麦产量;作物建模;APSIM;

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