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Soil organic carbon dynamics and crop yield for different crop rotations in a degraded ferruginous tropical soil in a semi-arid region: a simulation approach

机译:半干旱地区退化的铁质热带土壤中不同作物轮作的土壤有机碳动态和作物产量:一种模拟方法

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摘要

In recent years, simulation models have been used as a complementary tool for research and for quantifying soil carbon sequestration under widely varying conditions. This has improved the understanding and prediction of soil organic carbon (SOC) dynamics and crop yield responses to soil and climate conditions and crop management scenarios. The goal of the present study was to estimate the changes in SOC for different cropping systems in West Africa using a simulation model. A crop rotation experiment conducted in Farakô-Ba, Burkina Faso was used to evaluate the performance of the cropping system model (CSM) of the Decision Support System for Agrotechnology Transfer (DSSAT) for simulating yield of different crops. Eight crop rotations that included cotton, sorghum, peanut, maize and fallow, and three different management scenarios, one without N (control), one with chemical fertilizer (N) and one with manure applications, were studied. The CSM was able to simulate the yield trends of various crops, with inconsistencies for a few years. The simulated SOC increased slightly across the years for the sorghum–fallow rotation with manure application. However, SOC decreased for all other rotations except for the continuous fallow (native grassland), in which the SOC remained stable. The model simulated SOC for the continuous fallow system with a high degree of accuracy normalized root mean square error (RMSE)=0·001, while for the other crop rotations the simulated SOC values were generally within the standard deviation (s.d.) range of the observed data. The crop rotations that included a supplemental N-fertilizer or manure application showed an increase in the average simulated aboveground biomass for all crops. The incorporation of this biomass into the soil after harvest reduced the loss of SOC. In the present study, the observed SOC data were used for characterization of production systems with different SOC dynamics. Following careful evaluation of the CSM with observed soil organic matter (SOM) data similar to the study presented here, there are many opportunities for the application of the CSM for carbon sequestration and resource management in Sub-Saharan Africa.
机译:近年来,模拟模型已被用作研究和量化在广泛变化的条件下土壤固碳的补充工具。这提高了对土壤有机碳(SOC)动态以及作物产量对土壤和气候条件以及作物管理方案的响应的理解和预测。本研究的目的是使用模拟模型估算西非不同种植系统的SOC变化。在布基纳法索法拉科巴进行的作物轮作试验用于评估农业技术转让决策支持系统(DSSAT)的作物系统模型(CSM)的性能,以模拟不同农作物的产量。研究了八种作物轮作,包括棉花,高粱,花生,玉米和休闲草,以及三种不同的管理方案,一种不使用氮肥(对照),一种使用化肥(N),一种使用肥料。 CSM能够模拟各种作物的产量趋势,并且几年来一直存在不一致之处。多年来,随着施肥,高粱-小叶轮作的模拟SOC略有增加。但是,除连续休耕(原生草地)以外,SOC均保持稳定,其他所有轮作的SOC均下降。连续休耕系统的模型模拟SOC具有较高的准确度,标准化均方根误差(RMSE)= 0·001,而对于其他作物轮作,模拟SOC值通常在标准的标准偏差(sd)范围内观察数据。包括补充氮肥或肥料的作物轮作显示,所有作物的平均模拟地上生物量均增加。收获后将这种生物量掺入土壤可减少SOC的损失。在本研究中,观察到的SOC数据用于表征具有不同SOC动态的生产系统。在使用与此处介绍的研究相似的土壤有机质(SOM)数据仔细评估了CSM之后,在撒哈拉以南非洲将CSM应用于固碳和资源管理的机会很多。

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