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首页> 外文期刊>Climatic Change >The impact of future socio-economic and climate changes on agricultural land use and the wider environment in East Anglia and North West England using a metamodel system
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The impact of future socio-economic and climate changes on agricultural land use and the wider environment in East Anglia and North West England using a metamodel system

机译:使用元模型系统,未来的社会经济和气候变化对东英吉利和英格兰西北部的农业土地利用和更广泛的环境的影响

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摘要

This paper describes a procedure to use a model interactively to investigate future land use by studying a wide range of scenarios defining climate, technological and socio-economic changes. A full model run of several hours has been replaced by a metamodel version which takes a few seconds, and provides the user with an immediate visual output and with the ability to examine easily which factors have the greatest effect. The Regional Impact Simulator combines a model of agricultural land use choices linked with models of urban growth, flooding risk, water quality and consequences for wildlife to estimate plausible futures of agricultural land on a timescale of 20–50 years. The model examines the East Anglian and North West regions of the United Kingdom at a grid resolution of 5 × 5 km, and for each scenario estimates the most likely cropping and its profitability at each location, and classifies land use as arable, intensive or extensive grassland or abandoned. From a modelling viewpoint the metamodel approach enables iteration. It is thus possible to determine how product prices change so that production meets demand. The results of the study show that in East Anglia cropping remains quite stable over a wide range of scenarios, though grassland is eliminated in scenarios with the 2050s High climate scenario – almost certainly due to the low yield in the drier conditions. In the North West there is a very much greater range of outcomes, though all scenarios suggest a reduction in grassland with the greatest in the 2050s High climate scenario combined with the “Regional Stewardship” (environmental) socio-economic scenario. The effects of the predicted changes in land use on plant species showed suitability for species to vary greatly, particularly between the socio-economic scenarios, due to detrimental effects from increases in nitrogen fertilisation. A complete simulation with the Regional Impact Simulator takes around 15 seconds (computer-dependent), which users who responded felt was adequate or better than adequate. The main areas for future improvement, such as the speed of the system, user interaction and the accuracy and detail of the modelling, are considered.
机译:本文介绍了一种程序,可通过研究定义气候,技术和社会经济变化的各种情景来交互式地使用模型来调查未来的土地使用。数小时的完整模型运行已由需要几秒钟的元模型版本取代,该模型需要几秒钟的时间,并为用户提供即时的视觉输出,并能够轻松检查哪些因素影响最大。区域影响模拟器将农业用地选择模型与城市发展模型,洪水风险,水质以及对野生动植物的影响模型结合在一起,以估算20至50年时间范围内可能的农业用地前景。该模型以5×5 km的网格分辨率检查了英国的东安吉利安和西北地区,并针对每种情况估计了每个位置最有可能种植的作物及其获利能力,并将土地利用分为可耕种,集约化或粗放草原还是荒芜的。从建模的角度来看,元模型方法支持迭代。因此,可以确定产品价格如何变化,以使生产满足需求。研究结果表明,尽管在2050年代高气候情景下的草原已被淘汰,但在较干燥的情况下,东英吉利的农作物仍保持相当稳定的生长-几乎可以肯定,这是由于干旱条件下单产较低。在西北地区,结果的范围要大得多,尽管所有情况都表明,草地减少的情况在2050年代是最大的,而高气候情景与“区域管理”(环境)社会经济情景相结合。土地利用的预测变化对植物物种的影响表明,由于氮肥用量增加的不利影响,物种的适应性变化很大,尤其是在社会经济情景之间。使用“区域影响模拟器”进行的完整模拟大约需要15秒钟(取决于计算机),做出响应的用户认为这是适当的或优于适当的。考虑了未来改进的主要领域,例如系统速度,用户交互以及建模的准确性和细节。

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