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Global patterns of crop yield stability under additional nutrient and water inputs

机译:在增加养分和水的条件下作物产量稳定的全球格局

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摘要

Agricultural production must increase to feed a growing and wealthier population, as well as to satisfy increasing demands for biomaterials and biomass-based energy. At the same time, deforestation and land-use change need to be minimized in order to preserve biodiversity and maintain carbon stores in vegetation and soils. Consequently, agricultural land use needs to be intensified in order to increase food production per unit area of land. Here we use simulations of AgMIP’s Global Gridded Crop Model Intercomparison (GGCMI) phase 1 to assess implications of input-driven intensification (water, nutrients) on crop yield and yield stability, which is an important aspect in food security. We find region- and crop-specific responses for the simulated period 1980–2009 with broadly increasing yield variability under additional nitrogen inputs and stabilizing yields under additional water inputs (irrigation), reflecting current patterns of water and nutrient limitation. The different models of the GGCMI ensemble show similar response patterns, but model differences warrant further research on management assumptions, such as variety selection and soil management, and inputs as well as on model implementation of different soil and plant processes, such as on heat stress, and parameters. Higher variability in crop productivity under higher fertilizer input will require adequate buffer mechanisms in trade and distribution/storage networks to avoid food price volatility.
机译:农业生产必须增加以满足不断增长的富裕人口的需求,并满足对生物材料和基于生物质的能源不断增长的需求。同时,需要尽量减少毁林和土地利用的变化,以保护生物多样性并维持植被和土壤中的碳储量。因此,需要增加农业土地利用,以增加单位土地面积的粮食产量。在这里,我们使用AgMIP的全球网格化作物模型比较(GGCMI)第1阶段的模拟来评估投入驱动的集约化(水,养分)对作物产量和产量稳定性的影响,这是粮食安全的重要方面。我们发现,在1980年至2009年的模拟期间,特定区域和特定作物的响应在附加氮输入下大幅增加了产量的变异性,在附加水输入下(灌溉)下稳定了产量,反映了当前水和养分限制的模式。 GGCMI集合体的不同模型显示出相似的响应模式,但是模型差异值得进一步研究管理假设,例如品种选择和土壤管理,投入以及不同土壤和植物过程的模型实施(例如热胁迫)和参数。在肥料投入较高的情况下,农作物生产力的较大波动将需要在贸易和分配/储存网络中建立适当的缓冲机制,以避免粮食价格波动。

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