首页> 外文会议>Global Workshop on Digital Soil Mapping >REGIONAL ORGANIC CARBON STORAGE MAPS OF THEWESTERN BRAZILIAN AMAZON BASED ON PRIOR SOILMAPS AND GEOSTATISTICAL INTERPOLATION
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REGIONAL ORGANIC CARBON STORAGE MAPS OF THEWESTERN BRAZILIAN AMAZON BASED ON PRIOR SOILMAPS AND GEOSTATISTICAL INTERPOLATION

机译:基于先前的土壤图和地统计插值,巴西亚马逊的区域有机碳储存地图

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The study area was defined as 6°-square portion of the Brazilian Amazon, from longi-tudes 60-66° West and latitudes 8-14° South. This region corresponds to -334,000 km~2 of the western Brazilian Amazon, that is 6.7% of the Brazilian Amazon basin. A database was constructed from soil profile information reported in published and unpublished soil surveys. Bulk density (BD) values were derived from multiple regres-sions with other available parameters. Two digitised soil maps were considered: a 1:5,000,000 soil map and 1:1,000,000 soil map of the region that was digitised for the purpose of this study. Individual C stock for each profile was calculated by two procedures. The first and classical procedure consists in summing C densities by horizon, determined as a product of BD, C concentration, and horizon thickness. The second calculation used a double exponential model of organic C vertical distribution in soils: (C(X) - C2)/(C1 - C2) = (e~(-b X)-e~(-b X2))/(e~(-b) X1)-e~(-b X2), where X and C(X) are the depth and the C content, X1 and C1 the depth and the C content of a fixed upper position, and X2 and C2 for a fixed deeper position. Regional C estimates were derived using different map approaches or geostatistical interpolations. Geostatistical interpolations were run not only on the individual C stock, but also on the parameters of the vertical model separately. Two types of validation were conducted, an "internal" validation known as "jackknifing" and an external validation with preserved data (about 10%). The regional stock was obtained multiplying the carbon content of each taxonomic unit by its area. This calculation leads to similar results using the soil map either at 1:5,000,000 scale or at 1:1,000,000. Regional stocks (0-100 cm) ranged between 2100 Tg using median values, and 2300 Tg, using means, and exhibit an associated error (based on SD) of 900 Tg. Variographic analysis showed that carbon stocks exhibit a spatial structure at the regional scale. However the high nugget effect reveals that about half of the spatial variability may appear within distances less than a few tens of kilometres. Results of the fitting of the experimental semivariogram for the top metre showed the same pattern with a nugget effect of 4.70 (kg Cm~(-2))~2 and a sill value of 4.26 (kg Cm~(-2))~2, but the range is reduced to 513 km.
机译:该研究区域被定义为巴西亚马逊的6°-quare部分,来自Longi-Tudes 60-66°南部和南部8-14°。该地区对应于巴西亚马逊西部巴西亚马逊的334,000公里〜2,是巴西亚马逊盆地的6.7%。数据库是由发布和未发表的土壤调查中报告的土壤配置文件信息构建的。批量密度(BD)值源自具有其他可用参数的多重重新分析。考虑了两种数字化土壤图:1:5,000,000土地图和1:1,000,000土壤图,该区域为本研究的目的数字化。每个轮廓的单个C库存由两个程序计算。第一和经典程序在于通过地平线求和,确定为BD,C浓度和地平线厚度的乘积。第二个计算使用土壤中有机C垂直分布的双指导模型:(C(x) - c2)/(c1-c2)=(e〜(-b x)-e〜(-b x2))/( E〜(-b)x1)-e〜(-b x2),其中x和c(x)是深度和c含量,x1和c1固定上部位置的深度和c含量,以及x2和x2和C2为固定更深的位置。使用不同的地图方法或地统计局来源区域C估算。地统计互动间隔不仅在各个C库存上运行,而且还在分开的垂直模型的参数上运行。进行了两种类型的验证,称为“jackknifing”的“内部”验证以及具有保存数据的外部验证(约10%)。将区域股票乘以其地区每个分类单位的碳含量。该计算导致使用土壤图的类似结果,无论是1:5,000,000刻度为1:1,000,000。区域股票(0-100厘米)使用中值值和2300 TG,使用手段的2100 TG,以及表现出900 TG的相关错误(基于SD)。变形分析表明,碳股在区域规模处具有空间结构。然而,高金刚效应表明,大约一半的空间可变性可能出现在距离小于几十公里的距离内。顶部仪表的实验半造型仪的拟合结果表明,具有4.70(kg cm〜(-2))〜2的核效应和4.26(kg cm〜(-2))〜2的图案,但范围减少到513公里。

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