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Establishment and characteristics analysis of a crop–drought vulnerability curve: a case study of European winter wheat

机译:作物干旱脆弱性曲线的建立与特征分析 - 以欧洲冬小麦为例

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As an essential component of drought risk, crop–droughtvulnerability refers to the degree of the adverse response of a crop to adrought event. Different drought intensities and environments can causesignificant differences in crop yield losses. Therefore, quantifying droughtvulnerability and then identifying its spatial characteristics will helpunderstand vulnerability and develop risk-reduction strategies. We selectthe European winter wheat growing area as the study area and 0.5°?×?0.5° grids as the basic assessment units. Winter wheatdrought vulnerability curves are established based on theerosion–productivity impact calculator model simulation. Their loss changeand loss extent characteristics are quantitatively analysed by the keypoints and cumulative loss rate, respectively, and are then syntheticallyidentified via K-means clustering. The results show the following. (1)?Theregional yield loss rate starts to rapidly increase from 0.13 when thedrought index reaches 0.18 and then converts to a relatively stable stagewith the value of 0.74 when the drought index reaches 0.66. (2)?In contrastto the Pod Plain, the stage transitions of the vulnerability curve lagsbehind in the southern mountain area, indicating a stronger tolerance todrought. (3)?According to the loss characteristics during the initial,development, and attenuation stages, the vulnerability curves can be dividedinto five clusters, namely low-low-low, low-low-medium,medium-medium-medium, high-high-high, and low-medium-high loss types,corresponding to the spatial distribution from low latitude to high latitudeand from mountain to plain. The paper provides ideas for the study of theimpact of environment on vulnerability and for the possible application ofvulnerability curve in the context of climate change.
机译:作为干旱风险的重要组成部分,作物 - 滴水润作用是指作物对竞争事件的不利反应的程度。不同的干旱强度和环境可能会导致作物产量损失的显着差异。因此,量化DrougRvulnerability,然后识别其空间特征将有利,有利于漏洞和发展风险减少策略。我们选择欧洲冬小麦生长面积作为研究区和0.5°×0.5°×0.5°栅格作为基本评估单位。冬季惠麦芽普利脆弱性曲线是基于体内生产率影响计算器模型仿真建立的。它们的损失损失程度特征分别通过关键点和累积损失率定量分析,然后通过K-Means聚类合成。结果表明以下。 (1)?当经过0.18达0.18时,引发屈服损失率从0.13开始迅速增加0.13,然后当干旱指数达到0.66时,转换为0.74的值为0.74相对稳定的阶段。 (2)?与豆荚平原相比,南部山区漏洞的漏洞曲线的阶段转换,表明迄今为止耐受性更强。 (3)? - 高中和低中型高损耗类型,对应于从山到平原的低纬度到高纬度的空间分布。本文为气候变化的背景下提供了对脆弱性和可能的​​应用曲线的可能应用的思考。

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