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Future yields of double-cropping systems in the Southern Amazon, Brazil, under climate change and technological development

机译:巴西南部南部南部南部的双重种植系统的未来产量和技术发展

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Climate change is a major threat to agricultural production, particularly in vulnerable ecosystems such as the Southern Amazon, where millions of hectares of tropical forest have been deforested for the purpose of cattle ranching and the expansion of soybean fields. At the same time, genetic progress and improved crop management have led to considerable yield increases in the states of Mato Grosso (MT) and Para (PA), which are the hotspots of deforestation. The aim of this study is to assess the impact of climate change and technological development on double-cropping systems in the Southern Amazon up to the year 2040. Future crop yields are simulated with the Model for Nitrogen and Carbon in Agro-ecosystems (MONICA). Climate projections are based on the IPCC SRES A1B and were generated with the Weather Research and Forecasting (WRF) model and the Statistical Regional Model (STAR) in a horizontal resolution of 900 m x 900 m. A novel approach of forecasting technology-driven yield increases based on biophysical yield maxima (BYM) was developed to account for gains in breeding and crop management improvements. Results from crop growth simulations indicate that soybean yields will stay nearly unchanged (MG VIII 0%, MG VII + 1%), whereas maize and cotton productivity will decrease by 28% and 17%, respectively, between 2015-19 and 2035-40 (average of WRF and STAR scenario). This decline in second season crop productivity is traceable to future lessening of precipitation and higher temperatures. Estimation of technology trends suggests that advances in genetics and crop management are likely to offset the negative effects of climate change by increasing soybean yields by 40% (MG VII + 39%, MG VIII + 40%) and maize and cotton yields by 68% and 59%, respectively, during the same time period. Estimations of BYM signal a low potential for agricultural exploitation of current rainforest areas. This stands in contrast to the unique ecosystem services (e.g., biodiversity, carbon storage) the Amazonian rainforest provides and calls for more effective control mechanisms to prevent further deforestation.
机译:气候变化是对农业生产的重大威胁,特别是在萨洛顿等脆弱的生态系统中,其中数百万公顷的热带森林因牛牧场的目的而蔑视牧场和大豆田的扩张。与此同时,遗传进展和改善的作物管理导致马托格罗索(MT)和帕拉(PA)的州的相当大的产量,这些产量是森林砍伐的热点。本研究的目的是评估气候变化和技术开发对2040年南部南部的双重种植系统的影响。未来的作物产量与农业生态系统(MONICA)中的氮和碳模型进行模拟。气候预测基于IPCC SRES A1B,并以天气研究和预测(WRF)模型和统计区域模型(星)产生的水平分辨率为900米×900米。制定了一种新的预测技术驱动产量的新方法,基于生物物理产量Maxima(BYM)增加,以考虑育种和作物管理改进的收益。作物生长模拟的结果表明大豆产量将保持几乎不变(Mg VIII 0%,Mg VII + 1%),而玉米和棉花生产率分别将分别下降28%和17%,在2015-19和2035-40之间分别降低28%和17% (WRF和星际情景的平均值)。第二季作物生产率下降可追溯到未来减少降水和更高的温度。技术趋势的估计表明,遗传学和作物管理的进步可能会使大豆产量增加40%(Mg VII + 39%,Mg VIII + 40%)和玉米和棉花产率为68%,抵消气候变化的负面影响在同一时间段内分别为59%。逐步估计越野信号对电流雨林地区的农业开发的低潜力。与独特的生态系统服务(例如,生物多样性,碳存储)相反,亚马逊雨林提供并要求更有效的控制机制来防止进一步的森林砍伐。

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