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EstSoil-EH: a high-resolution eco-hydrological modelling parameters dataset for Estonia

机译:estsoil-eh:爱沙尼亚的高分辨率生态水文建模参数数据集

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To understand, model, and predict landscape evolution, ecosystem services, and hydrological processes, the availability of detailed observation-based soil data is extremely valuable. For the EstSoil-EH dataset, we synthesized more than 20 eco-hydrological variables on soil, topography, and land use for Estonia ( https://doi.org/10.5281/zenodo.3473289 , Kmoch et al., 2019a) as numerical and categorical values from the original Soil Map of Estonia, the Estonian 5?m lidar DEM, Estonian Topographic Database, and EU-SoilHydroGrids layers. The Soil Map of Estonia maps more than 750?000 soil units throughout Estonia at a scale of 1:10 ?000 and forms the basis for EstSoil-EH. It is the most detailed and information-rich dataset for soils in Estonia, with 75?% of mapped units smaller than 4.0?ha, based on Soviet-era field mapping. For each soil unit, it describes the soil type (i.e. soil reference group), soil texture, and layer information with a composite text code, which comprises not only the actual texture class, but also classifiers for rock content, peat soils, distinct compositional layers, and their depths. To use these as eco-hydrological process properties in modelling applications we translated the text codes into numbers. The derived parameters include soil layering, soil texture (clay, silt, and sand contents), coarse fragments, and rock content of the soil layers within the soil profiles. In addition, we aggregated and predicted physical variables related to water and carbon cycles (bulk density, hydraulic conductivity, organic carbon content, available water capacity). The methodology and dataset developed will be an important resource for the Baltic region, but possibly also for all other regions where detailed field-based soil mapping data are available. Countries like Lithuania and Latvia have similar historical soil records from the Soviet era that could be turned into value-added datasets such as the one we developed for Estonia.
机译:要了解,模型和预测景观演化,生态系统服务和水文过程,详细观察的土壤数据的可用性是极为宝贵的。对于estsoil-eh数据集,我们在土壤,地形和土地利用上综合了20多种生态水文变量(Https://doi.org/10.5281/zenodo.3473289,Kmoch等,2019A)作为数值来自爱沙尼亚原来土壤图的分类价值,爱沙尼亚5?M LIDAR DEM,爱沙尼亚地形数据库和欧盟 - 土壤氢剂层。爱沙尼亚土壤图以1:10 000左右的十五次地图地图超过750?000土壤单位,形成了estsoil-eh的基础。它是爱沙尼亚土壤中最详细且信息丰富的数据集,基于苏联 - 时代映射,75?%的映射单元小于4.0?HA。对于每个土壤单元,它描述了具有复合文本代码的土壤类型(即土壤参考组),土壤纹理和层信息,其不仅包括实际的纹理类,而且包括岩石含量,泥炭土壤,不同的成分的分类器层,及其深度。要在建模应用中使用这些作为生态水文过程属性,我们将文本代码转换为数字。衍生的参数包括土壤分层,土壤纹理(粘土,淤泥和砂内容物),粗碎片和土壤层内的土壤层的岩石含量。此外,我们汇总和预测与水和碳循环相关的物理变量(堆积密度,液压导电性,有机碳含量,可用水容量)。开发的方法和数据集将是波罗的海地区的重要资源,但也可能适用于所有其他地区,其中提供了详细的基于场的土壤映射数据。立陶宛和拉脱维亚这样的国家具有类似苏联时代的历史土壤记录,可以变成增值数据集,例如我们为爱沙尼亚开发的数据集。

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