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Simulating long-term food producing capacities in China using a Web-based land evaluation system

机译:使用基于网络的国家评估系统模拟中国的长期粮食生产能力

摘要

This dissertation presents a modeling approach to assess the long-term food producing capacities, and consequently food security, in China using a Web-based land evaluation system (WLES, http://weble.ugent.be). WLES implements a 3-step quantitative land evaluation model which evaluates the realistic yield of a field crop by considering the effects of (a) radiation and temperature regimes, (b) water stress, (c) limited soil fertility and (d) insufficient crop management. Homogeneous 5 km by 5 km grid datasets of climatic, soil, crop and management parameters were created. Food productions in 2030 and 2050 were simulated using production scenarios involving population growth, urbanization rate, cropland area, cropping intensity, management level and soil degradation. The model predicted that food crops may experience a 9.7% productivity loss by 2030 if the soil is degraded at the current rate (“business-as-usual” scenario, BAU); productivity loss will increase to an unbearable level of 36.7% by 2050, should the soil be twice more degraded than it is now (“double degradation” scenario, 2xSD). China's food producing capacity tends to decline in the long run if the general trend of soil degradation will not be reverted. China will be able to achieve a production of 430 million tons from food crops in 2030 and 410 million tons in 2050 under the BAU scenario, which are 11.5% and 15.5% lower than the 2005 level, respectively. In per capita terms, China will experience a food shortage of 9.8% in 2030 and 7.5% in 2050 even under the “zero-degradation” scenario (0xSD), compared to a 12.7% food surplus in 2005. Per capita food shortage in 2050 will be as high as 22.6% under the BAU scenario and 38.3% under the 2xSD scenario. The results suggest the present-day producing capacity (2005 level) will not be able to sustain the long-term needs under the current management level even if soil degradation is not becoming more limiting. The detrimental effect of soil degradation on food security is so evident that technical measures and policy levers must be activated today in order to avoid, or at least mitigate, the risks of food insecurity tomorrow.
机译:本文提出了一种基于网络的土地评估系统(WLES,http://weble.ugent.be)来评估中国的长期粮食生产能力,从而评估粮食安全的建模方法。 WLES实施了一个三步定量土地评估模型,该模型通过考虑以下因素的影响来评估田间作物的实际产量:(a)辐射和温度制度,(b)水分胁迫,(c)土壤肥力有限和(d)作物歉收管理。创建了气候,土壤,作物和管理参数的均质5 km x 5 km网格数据集。利用人口增长,城市化率,耕地面积,种植强度,管理水平和土壤退化等生产情景模拟了2030年和2050年的粮食生产。该模型预测,如果土壤按照目前的速度退化,到2030年,粮食作物的生产力可能会损失9.7%(BAU)。如果土壤的退化程度是现在的两倍,那么到2050年,生产力的损失将增加到36.7%的水平,这是无法忍受的(“双重退化”情景,2xSD)。如果不恢复土壤退化的总体趋势,从长远来看,中国的粮食生产能力往往会下降。在BAU情景下,中国将能够在2030年和2050年实现粮食作物4.3亿吨的产量,分别比2005年低11.5%和15.5%。以人均计算,即使在“零退化”情景下(0xSD),中国也将在2030年和2050年经历9.8%的粮食短缺,而2005年则为12.7%。2050年的人均粮食短缺在BAU方案下将高达22.6%,在2xSD方案下将高达38.3%。结果表明,即使土壤退化不再受到更多限制,目前的生产能力(2005年水平)也无法在当前管理水平下维持长期需求。土壤退化对粮食安全的不利影响非常明显,以至于今天必须采取技术措施和政策手段,以避免或至少减轻明天发生粮食不安全的风险。

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    Ye Liming;

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  • 年度 2008
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