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Carbon stock variability and aggregate stability in soils of Amazon, Brazil

机译:巴西亚马逊州土壤中的碳储量变异性和聚集体稳定性

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Converting natural ecosystems into agro-ecosystems often reduces soil organic carbon content by decreasing carbon input, as well as by increasing erosion losses and organic matter decomposition rate. This study aimed at evaluating carbon stocks, soil aggregate stability, and spatial variability of some other attributes in soils of Southern Amazonas state. The study was carried out on areas with archaeological dark earth (ADE), under rainforest, pasture, agroforestry environments, sugarcane, and cassava. We collected disturbed and undisturbed soil samples from 64 points in a regular spacing of 10 m at 0.0-10 cm depth. From these samples, we determined the stock of organic carbon (STOC), organic carbon (OC), organic matter (OM) content, soil aggregate stability (SAS), and soil bulk density (SBD). Data analysis included univariate, multivariate, and descriptive statistics. The STOC was higher in ADEs and the adjusted semivariograms pointed out a greater spatial variability for soils under pasture and cassava crop. Kriging maps of principal component analysis scores proved a positive correlation between the studied variables and terrain slope, with higher values for lower lands.
机译:将自然生态系统转变为农业生态系统通常会通过减少碳输入以及增加侵蚀损失和有机物分解速率来减少土壤有机碳含量。这项研究旨在评估南部亚马逊州土壤中的碳储量,土壤团聚体稳定性以及其他一些属性的空间变异性。这项研究是在热带雨林,牧场,农林业环境,甘蔗和木薯下有考古暗土(ADE)的地区进行的。我们以0.0-10 cm的深度以10 m的规则间距从64个点收集了扰动和未扰动的土壤样本。从这些样本中,我们确定了有机碳(STOC),有机碳(OC),有机质(OM)含量,土壤团聚体稳定性(SAS)和土壤容重(SBD)的储量。数据分析包括单变量,多元和描述性统计。 ADE中的STOC较高,调整后的半变异函数表明牧场和木薯作物下土壤的空间变异性较大。主成分分析得分的Kriging图证明了研究变量与地形坡度之间呈正相关,而较低土地的值较高。

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