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首页> 外文期刊>Italian Journal of Agronomy >Application of DSSAT models for an agronomic adaptation strategy under climate change in Southern of Italy: optimum sowing and transplanting time for winter durum wheat and tomato
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Application of DSSAT models for an agronomic adaptation strategy under climate change in Southern of Italy: optimum sowing and transplanting time for winter durum wheat and tomato

机译:DSSAT模型在意大利南部气候变化下的农艺适应策略中的应用:冬硬质小麦和番茄的最佳播种和移栽时间

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Many climate change studies have been carried out in different parts of the world to assess climate change vulnerability and adaptation capacity of agricultural crops for determined environments characterized from climatic, pedological and agronomical point of view. The objective of this study was to analyse the productive response of winter durum wheat and tomato to climate change and sowing/transplanting time in one of most productive areas of Italy (i.e. Capitanata, Puglia), using CERES-Wheat and CROPGRO cropping system models. Three climatic datasets were used: i) a single dataset (50 km x 50 km) provided by the JRC European centre for the period 1975-2005; two datasets from HadCM3 for the IPCC A2 GHG scenario for time slices with +2°C (centred over 2030-2060) and +5°C (centred over 2070-2099), respectively. All three datasets were used to generate synthetic climate series using a weather simulator (model LARS-WG). No negative yield effects of climate change were observed for winter durum wheat with delayed sowing (from 330 to 345 DOY) increasing the average dry matter grain yield under forecasted scenarios. Instead, the warmer temperatures were primarily shown to accelerate the phenology, resulting in decreased yield for tomato under the + 5°C future climate scenario. In general, under global temperature increase by 5°C, early transplanting times could minimize the negative impact of climate change on crop productivity but the intensity of this effect was not sufficient to restore the current production levels of tomato cultivated in southern Italy.
机译:在世界的不同地方进行了许多气候变化研究,以评估气候变化,脆弱性和农艺学角度表征的确定环境中农作物的气候变化脆弱性和适应能力。这项研究的目的是使用CERES-Wheat和CROPGRO种植系统模型来分析意大利硬土产最高地区之一(即Capitanata,Puglia)的硬粒小麦和番茄对气候变化和播种/移栽时间的生产响应。使用了三个气候数据集:i)JRC欧洲中心在1975-2005年期间提供的单个数据集(50 km x 50 km);来自HadCM3的两个数据集,分别用于IPCC A2 GHG情景,时间片分别为+ 2°C(在2030-2060年集中)和+ 5°C(在2070-2099年集中)。使用天气模拟器(模型LARS-WG)将所有三个数据集用于生成合成气候序列。在预测的情景下,未观察到延期播种(从330 DOY到345 DOY)增加硬粒小麦平均气候产量对气候变化没有负面影响。取而代之的是,变暖的现象主要表现为加速了物候变化,从而导致在+ 5°C的未来气候情景下,番茄的产量下降。一般而言,在全球温度升高5°C的情况下,早日移栽可以最大程度地减少气候变化对农作物生产力的负面影响,但这种影响的强度不足以恢复意大利南部种植的番茄的当前生产水平。

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