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Integrated assessment of global agricultural land and water resources in a changing world.

机译:在变化的世界中对全球农业土地和水资源进行综合评估。

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摘要

Climate-Water-Food (CWF) system involves numerous interactions and is gaining much attention since last decade. Climate change has generated significant influences on natural resources and agriculture, and the impacts are likely to amplify in the future. Land and water resources are two main constraining factors for agriculture, and the pressure on the natural resources will continue rising due to population growth and economic development. Therefore, it is of great importance to improve the understanding of the CWF system and adopt wise management practices to adapt with the global changes in both the environment and the human society.;This dissertation develops an integrated framework for characterizing interactions within the complex CWF system. The aim of this framework is to optimize agricultural land and water resources at the global scale. To achieve that, a Global Optimization Model of Agricultural Land and Water resources (GOALW) is developed and implemented. GOALW is a partial equilibrium model with a global objective such as global welfare maximization and global security maximization. It is composed of socio-economic and agro-hydrologic components. The model is able to simulate the interactions among price, demand, crop area, productivity, and irrigation water use, and provide valuable insights such as marginal value of water and land.;The marginal value (MV) of agricultural water availability refers to how much the global social welfare increases when local agricultural water availability increases by one unit. Western U.S., north Europe, west Europe and east coast of Australia have relatively high MV, while Amazon area, inland of Africa, Mideast, western area of Asia have lower MV. Nevertheless, marginal cost are high in high plains of U.S., southern China and Ganges area of India, which may offset their advantages in MV. Crop yield and per capita income could explain more than 40% of MV value, and water scarcity index (ratio of the annual irrigation requirement for one FPU (food production unit) over the irrigation water availability) explains 32% of the MV value.;In order to estimate how the CWF system responds to various forcing, a number of scenarios are considered in this dissertation. Climate change is a great concern for agriculture, and its impacts on irrigation water requirements are investigated. Since climate change involves much uncertainty, an ensemble approach is adopted to provide more reasonable projection. It is found that the global irrigation requirement is going to decline although the global mean temperature rises. This might be explained by the decrease in crop evapotranspiration, which is due to the declining diurnal temperature range (DTR), as already observed and/or projected in some regions.;Impacts of climate change on irrigation water use and economic factors are also assessed. Adverse effects of temperature rise are incorporated into the model through a linear function. Global irrigation water use reduces by 3% (A1b_SAM) and 14% (B1_RMS), respectively, compared to the baseline defined as the situation around 2005. The world prices of most crops increase since the adverse impacts of temperature rise outweigh the positive effects from irrigation requirement decline. The trade pattern is also affected: cereal exports are likely to decline in East Europe and North America, while imports are possible to decrease in East Asia, Sub-Saharan Africa, as well as Southeast Asia.;Yield and area requirement considering population growth and economic development are estimated under the integrated framework. Projected population and GDP of 2025 are adopted to represent future socio-economic situations. Three scenarios are constructed: yield increase, land expansion, and yield & area scenario. When only productivity improvement or area expansion is considered, food prices increase and area expansion is expected with the various magnitudes though. If both productivity improvement and area expansion are considered to satisfy demand growth, crop prices decline and moderate area expansion is expected. MV reduces in the yield & area scenario with exceptions in countries/regions including south China, northeast U.S., and western Russia.
机译:自上个十年以来,气候-水-食物(CWF)系统涉及许多相互作用,并引起了广泛关注。气候变化对自然资源和农业产生了重大影响,并且这种影响将来可能会加剧。土地和水资源是农业的两个主要制约因素,由于人口增长和经济发展,对自然资源的压力将继续上升。因此,提高对CWF系统的理解和采用明智的管理实践以适应环境和人类社会的全球变化具有重要意义。;本论文建立了一个表征复杂CWF系统内相互作用的综合框架。 。该框架的目的是在全球范围内优化农业土地和水资源。为此,开发并实施了全球农业土地和水资源优化模型(GOALW)。 GOALW是具有全球目标(例如全球福利最大化和全球安全最大化)的局部均衡模型。它由社会经济和农业水文组成。该模型能够模拟价格,需求,作物面积,生产力和灌溉用水之间的相互作用,并提供有价值的见解,例如水和土地的边际价值。农业可用水的边际价值(MV)指的是如何当当地农业用水量增加一单位时,全球社会福利将大大增加。美国西部,北欧,西欧和澳大利亚东海岸的MV较高,而亚马逊地区,非洲内陆,中东,亚洲的西部地区的MV较低。但是,在美国,中国南部和印度的恒河地区的高平原上,边际成本很高,这可能抵消了它们在MV上的优势。作物产量和人均收入可以解释MV值的40%以上,而缺水指数(一个FPU(粮食生产单位)的年度灌溉需求与灌溉水的利用率之比)可以解释MV值的32%。为了估计CWF系统如何响应各种强迫,本文考虑了多种情况。气候变化是农业的重大问题,并研究了其对灌溉水需求的影响。由于气候变化涉及很多不确定性,因此采用整体方法来提供更合理的预测。发现尽管全球平均温度上升,但全球灌溉需求将下降。这可能是由于作物蒸散量的减少所造成的,这是由于某些地区已经观察到和/或预测的日温度范围(DTR)下降所致;还评估了气候变化对灌溉用水和经济因素的影响。通过线性函数将温度升高的不利影响纳入模型。与定义为2005年左右的基线相比,全球灌溉用水量分别减少了3%(A1b_SAM)和14%(B1_RMS)。由于温度升高的不利影响超过了农业部门的积极影响,大多数农作物的世界价格上涨灌溉需求下降。贸易方式也受到影响:东欧和北美的谷物出口可能下降,而东亚,撒哈拉以南非洲以及东南亚的进口可能下降;考虑到人口增长和经济发展是根据综合框架估算的。采用了2025年的预计人口和GDP来代表未来的社会经济状况。构建了三个方案:产量增加,土地扩张以及产量和面积方案。如果仅考虑提高生产率或扩大面积,那么食品价格就会上涨,并且预计面积会以不同的幅度扩大。如果生产率的提高和面积的扩大都被认为能够满足需求增长,那么农作物价格就会下降,并且预计面积将适度扩大。在包括华南,美国东北部和俄罗斯西部在内的国家/地区中,MV会降低产量和面积情景。

著录项

  • 作者

    Zhang, Xiao.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Civil engineering.;Climate change.;Water resources management.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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