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Evaluation of an integrated land use change model including a scenario analysis of land use change for continental Africa

机译:评估综合土地利用变化模型,包括非洲大陆土地利用变化的情景分析

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摘要

The global integrated land use model, LandSHIFT, is evaluated by testing its performance against available data sets, by analyzing the sensitivity of model parameters and structure, and by conducting a scenario analysis of future land use change in Africa. Despite the paucity of suitable data sets, a range of different tests were designed to make best use of available data and to examine the model's ability to compute cropland suitability, extent of cropland area, and location of deforestation. The model showed more ability to calculate the spatial distribution of cropland suitability and continental average deforestation rates than to compute the spatial distribution of deforestation. LandSHIFT was found to be particularly sensitive to assumptions about future climate change for simulations extending over several decades through the influence of climate on cropland and grassland productivity. With regards to the scenario analysis, the model was applied to two scenarios for Africa that cover a wide range of assumptions about future driving forces. Results showed that cropland land may expand greatly up to 2050 (34-40%, depending on the scenario) because of increasing food demand and despite expected increases in crop yield. This expansion comes largely at the expense of forested land, although the average continental deforestation rate computed from 2000 to 2050 is lower than the computed rate for the 1990s. The testing and scenario analysis showed the ability of the model to develop consistent scenarios of land use change on the continental scale by combining the effects of driving forces and competition between land uses in a single spatially-explicit framework.
机译:通过对照可用数据集测试其性能,分析模型参数和结构的敏感性以及对非洲未来土地利用变化进行情景分析,来评估全球土地综合利用模型LandSHIFT。尽管缺少合适的数据集,但仍设计了一系列不同的测试,以充分利用可用数据并检查模型计算农田适宜性,农田面积和毁林地点的能力。该模型比计算森林砍伐的空间分布显示出更多的能力来计算耕地适宜性和大陆平均森林砍伐率的空间分布。人们发现,LandSHIFT对未来气候变化的假设特别敏感,因为气候变化对耕地和草地生产力的影响持续了数十年,因此对模拟的预测持续了数十年。关于情景分析,该模型被应用于非洲的两种情景,涵盖了关于未来驱动力的各种假设。结果表明,由于粮食需求增加,尽管预计农作物产量会增加,但农田土地可能会大大扩展到2050年(34-40%,视情况而定)。尽管从2000年到2050年计算的大陆平均森林砍伐率低于1990年代的计算率,但这种扩张主要是以森林土地为代价的。测试和情景分析表明,该模型通过在单个空间明晰的框架中结合驱动力和土地利用之间的竞争的影响,开发了在大陆范围内一致的土地利用变化情景的能力。

著录项

  • 来源
    《Environmental Modelling & Software》 |2011年第8期|p.1017-1027|共11页
  • 作者单位

    Center for Environmental Systems Research, University of Kassel, Kurt-Wolters-Strasse 3, D-34125 Kassel, Germany;

    Center for Environmental Systems Research, University of Kassel, Kurt-Wolters-Strasse 3, D-34125 Kassel, Germany;

    Center for Environmental Systems Research, University of Kassel, Kurt-Wolters-Strasse 3, D-34125 Kassel, Germany;

    Center for Environmental Systems Research, University of Kassel, Kurt-Wolters-Strasse 3, D-34125 Kassel, Germany;

    Center for Environmental Systems Research, University of Kassel, Kurt-Wolters-Strasse 3, D-34125 Kassel, Germany;

    Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    land use change modeling; model testing; sensitivity analysis; scenario simulation; Africa;

    机译:土地利用变化模型;模型测试;敏感性分析;场景模拟;非洲;

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