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首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Making use of the World Reference Base diagnostic horizons for the systematic description of the soil continuum - Application to the tropical mountain soil-landscape of southern Ecuador.
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Making use of the World Reference Base diagnostic horizons for the systematic description of the soil continuum - Application to the tropical mountain soil-landscape of southern Ecuador.

机译:利用世界参考基准诊断视野对土壤连续性进行系统描述-在厄瓜多尔南部热带山区土壤景观中的应用。

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摘要

The World Reference Base for Soil Resources (WRB) (FAO, IUSS Working Group WRB, 2007) at present does not acknowledge the spatial soil continuum, but provides a sound basis to do so. Using methods from statistical learning theory to develop digital soil maps is much more efficient and precise while regionalising soil diagnostic properties instead of complex entities such as the soil units assigned by the WRB. Particularly in providing spatial soil information displayed in digital soil maps, any aggregation of this spatial soil information to soil units means a loss of information. The soil landscape can be systematically described in its spatial continuum simply by the vertical order and extent of the WRB diagnostic horizons. The diagnostic horizons are related in their thickness to a standard depth and listed from top to bottom in order of appearance. Typical diagnostic horizon thickness and occurrence probability were predicted from terrain parameters by classification and regression trees (CART), throughout the research area in southern Ecuador. The two disadvantages of CART, abrupt prediction class boundaries and dependence on the dataset, were addressed by hundredfold model runs on different data subsets, leading to a range of possible predictions. Prediction uncertainty was included in the digital soil maps by calculating these predictions' means and standard deviations as well as by horizon occurrence probability prediction. Model performance was evaluated by means of hundredfold external cross validation. Terrain parameters were found to have a strong influence on diagnostic topsoil properties. However, no influence on the vertical profile differentiation was observed. Hence predicting horizon thickness and subsoil diagnostic properties was difficult. The systematic description of the soil continuum of this particular soil-landscape resulted in histic and stagnic soil parts dominating the first 100 cm of the soil column for most of the area.
机译:目前,世界土壤资源参考基准(WRB)(粮农组织,国际空间研究组织工作组,WRB,2007年)并未认识到土壤的空间连续性,但为此提供了坚实的基础。使用统计学习理论的方法来开发数字土壤图更加有效和精确,同时可以对土壤诊断属性进行区域化,而不是像WRB分配的土壤单位那样复杂的实体。特别是在提供数字土壤地图中显示的空间土壤信息时,这种空间土壤信息与土壤单元的任何聚集都意味着信息的丢失。只需通过WRB诊断范围的垂直顺序和范围,就可以在其空间连续性中系统地描述土壤景观。诊断层的厚度与标准深度相关,并按出现顺序从上到下列出。在整个厄瓜多尔南部研究区,通过分类和回归树(CART)根据地形参数预测了典型的诊断层厚度和发生概率。 CART的两个缺点,即突然的预测类边界和对数据集的依赖,通过在不同数据子集上运行的数百倍模型来解决,从而导致了一系列可能的预测。通过计算这些预测的均值和标准差,以及通过地平线出现概率预测,将预测不确定性包括在数字土壤地图中。通过百倍外部交叉验证来评估模型性能。发现地形参数对诊断表土特性有很大影响。但是,没有观察到对垂直剖面差异的影响。因此,很难预测层厚度和底土的诊断特性。对这种特殊土壤-景观的土壤连续性的系统描述导致在大部分区域中,柱状和滞滞性土壤部分占据了土壤柱的前100 cm。

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