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首页> 外文期刊>Journal of Crop Improvement >Modeling Current and Future Climates using WbrldClim and DIVA Software: Case Studies from Timor Leste and India
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Modeling Current and Future Climates using WbrldClim and DIVA Software: Case Studies from Timor Leste and India

机译:使用WbrldClim和DIVA软件对当前和未来气候进行建模:东帝汶和印度的案例研究

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To learn about spatial climate variations across a topographically nonuniform area, quantitative predictions built on top of high-resolution baseline climate models are necessary. The WorldClim program performs this task, allowing monthly rainfall andtemperature baseline predictions (current conditions based on 1950-2000 averages) at a 5 km x 5 km pixel resolution to be visualized anywhere on the Earth through the DIVA mapping software. HADLEY CSIRO CCCMA and CCM3 climate predictions for the years 2020, 2050, and 2080 can be overlaid on the baseline climate. The resulting visualizations allow easy understanding of predicted rainfall and minimum and maximum temperatures across the globe, an important tool for anyone trying to understand climate-cropinteractions across a nonuniform area. Indian baseline climate and profection visualizations for some years and locations are discussed. In a country as topographically variable as Timor Leste, where huge variation occurs in both rainfall and temperature across small spatial areas, this tool is especially useful. Known crop preferences for minimum and maximum temperature and rainfall thresholds can he inputted with these data to identify suitable areas for current species and cultivars, as well as suitable species and cultivar characteristics that should he focusedon for future climate scenarios in specific locations. This type of information is important for research institutions, governments, and development agencies, and is also important for identifying agronomic interventions and directions for assisting local farmers to increase yields and reduce food insecurity. Timor Leste's climate and agriculture interactions have been studied using this tool and are summarized. Results revealed that, on average, the climate in Timor Leste (East Timor) is predicted to become about 1.5°C warmer and about 10% wetter by 2050. Improved cultivars of maize, rice, cassava, sweet potato, and peanuts with increased yields have been introduced, but these will need to be augmented with better adapted cultivars and new crops andmanagement practices specific to the changing climatic niches across the country. The hottest, low-lying areas are likely to become too hot for some species, and there will be a general upward movement of crop ranges toward the cooler, higher elevations.Coffee, the main agricultural export of the country, will likely have to shift upwards, implying massive social complications caused by land disputes and huge managerial challenges with respect to shade tree planting and ownership of the coffee plants.Temperate species currently grown at higher elevations are likely to become less common and may be phased out because of low productivity. Maize will likely be less productive at lower, hotter elevations but will respond well to higher temperatures and reduced chances of drought at middle to higher elevations. Rice yields may be affected by heat stress damage. Interventions, such as identifying and disseminating cultivars that are adapted to the predicted future conditions, are discussed. Other interventions, such as the requirements forfertilizers to boost yields; legumes to increase protein availability; and terracing and/or contour hedgerows to prevent soil erosion of steeply sloping terrain, are also identified and discussed.
机译:要了解整个地形不均匀区域的空间气候变化,必须在高分辨率基准气候模型的基础上进行定量预测。 WorldClim程序执行此任务,从而可以通过DIVA制图软件在5 km x 5 km像素分辨率下查看每月降雨量和温度基线预测(基于1950-2000年平均值的当前状况)。 HADLEY CSIRO CCCMA和CCM3对2020年,2050年和2080年的气候预测可以覆盖在基准气候上。生成的可视化结果使您可以轻松了解全球范围内的预计降雨量以及最低和最高温度,这对于任何试图了解不均匀区域中的气候-作物相互作用的人来说都是重要的工具。讨论了印度多年和不同地点的基准气候和完善可视化。在一个像东帝汶这样地形变化多端的国家,该地区的降雨和温度在较小的空间区域内都发生巨大变化,该工具特别有用。可以使用这些数据输入已知的作物对最低和最高温度和降雨量阈值的偏好,以识别适合当前物种和品种的合适区域,以及可以针对特定位置的未来气候情景重点关注的合适物种和品种特性。此类信息对于研究机构,政府和发展机构很重要,对于确定有助于当地农民提高产量和减少粮食不安全状况的农业干预措施和方向也很重要。已经使用该工具研究了东帝汶的气候和农业相互作用,并对其进行了总结。结果表明,到2050年,东帝汶的气候预计平均将变暖约1.5°C,湿润约10%。玉米,水稻,木薯,地瓜和花生的改良栽培品种,单产提高已经引入,但是这些将需要通过适应全国各地气候变化的适应性更强的品种和新作物以及新的管理方法加以加强。对于某些物种来说,最热,低洼的地区可能会变得太热,农作物的生长总体将朝着凉爽,海拔更高的方向上行。该国主要的农业出口咖啡可能不得不转移向上,这意味着由土地纠纷和在遮荫树种植和咖啡植物所有权方面的巨大管理挑战引起的巨大社会复杂性。目前在较高海拔地区种植的温带物种可能变得不那么普遍,并且由于生产力低下而可能被淘汰。在较低的高温地区,玉米产量可能会降低,但在较高的温度下,玉米将对高温产生较好的反应,而中高海拔地区的干旱机会将减少。水稻产量可能受到热胁迫的影响。讨论了干预措施,例如识别和传播适应于未来预测条件的栽培品种。其他干预措施,例如增加产量所需的肥料;豆类以增加蛋白质的利用率;还确定并讨论了梯田和/或等高线树篱,以防止水土流失对陡坡地带的侵蚀。

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