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African crop yield reductions due to increasingly unbalanced Nitrogen and Phosphorus consumption

机译:由于氮和磷的消费日益失衡,非洲农作物减产

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The impact of soil nutrient depletion on crop production has been known for decades, but robust assessments of the impact of increasingly unbalanced nitrogen (N) and phosphorus (P) application rates on crop production are lacking. Here, we use crop response functions based on 741 FAO maize crop trials and EPIC crop modeling across Africa to examine maize yield deficits resulting from unbalanced N:P applications under low, medium, and high input scenarios, for past (1975), current, and future N:P mass ratios of respectively, 1:0.29, 1:0.15, and 1:0.05. At low N inputs (10kgha(-1)), current yield deficits amount to 10% but will increase up to 27% under the assumed future N:P ratio, while at medium N inputs (50kgNha(-1)), future yield losses could amount to over 40%. The EPIC crop model was then used to simulate maize yields across Africa. The model results showed relative median future yield reductions at low N inputs of 40%, and 50% at medium and high inputs, albeit with large spatial variability. Dominant low-quality soils such as Ferralsols, which are strongly adsorbing P, and Arenosols with a low nutrient retention capacity, are associated with a strong yield decline, although Arenosols show very variable crop yield losses at low inputs. Optimal N:P ratios, i.e. those where the lowest amount of applied P produces the highest yield (given N input) where calculated with EPIC to be as low as 1:0.5. Finally, we estimated the additional P required given current N inputs, and given N inputs that would allow Africa to close yield gaps (ca. 70%). At current N inputs, P consumption would have to increase 2.3-fold to be optimal, and to increase 11.7-fold to close yield gaps. The P demand to overcome these yield deficits would provide a significant additional pressure on current global extraction of P resources.
机译:土壤养分耗竭对农作物产量的影响已为人所知,但缺乏对越来越不平衡的氮(N)和磷(P)施用量对农作物产量的影响的有效评估。在这里,我们使用基于741个FAO玉米作物试验和整个非洲EPIC作物模型的作物响应函数,研究了过去(1975年),当前,1975年,低,中和高投入情景下由于N:P施用不平衡而导致的玉米单产赤字。未来的N:P质量比分别为1:0.29、1:0.15和1:0.05。在低氮输入下(10kgha(-1)),当前产量赤字为10%,但在假定的未来N:P比下将增加至27%,而在中等氮输入下(50kgNha(-1)),未来产量损失可能超过40%。然后将EPIC作物模型用于模拟整个非洲的玉米产量。模型结果显示,尽管空间变异性较大,但低氮输入下相对中位数的未来产量降低为40%,中高输入下为50%。主要的低质量土壤,例如强吸收P的Ferralsols和低养分能力的Arenosols,与产量大幅下降有关,尽管Arenosols在低投入时表现出很大的农作物减产损失。最佳N:P比率,即使用EPIC计算得出的最低P:产生最高产量(给定N输入)的比率,该比率低至1:0.5。最后,我们估计了在给定当前N个输入和给定N个输入的情况下所需的额外P,这将使非洲缩小单产差距(约70%)。在当前的N个输入下,P的消耗必须增加2.3倍才能达到最佳,而增加11.7倍才能缩小产量缺口。克服这些产量不足的磷需求将给当前全球磷资源的开采带来巨大的额外压力。

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