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| 1 | Metals pollution and human bioaccesibility of topsoils in Grugliasco (Italy) 显示文摘 | Laura Poggio Borut VrScaj Rainer Schulin | 2009 | Environmental Pollution2009，157，： | 1 |
| 2 | Introducing a method of human health risk evaluation for planning and soil quality management of heavy metal-polluted soils-An example from Grugliaseo (Italy) 显示文摘 | Laura Poggio Borut Vrsaj Erwin Hepperle | 2008 | Landscape and Urban Planning2008，88，24： | 1 |
| 3 | Introducing a method of human health risk evaluation for planning and soil quality management of heavy metal-polluted soils--An example from Grugliasco(Italy)显示文摘 | Laura Poggio Borut Vrscaj Erwin Hepperle | 2008 | Landscape and Urban Planning2008，88，： | 1 |
| 4 | Introducing a method of human health risk evaluation for planning and soil quality management of heavy metal-polluted soils-An example from Grugliaso(Italy)显示文摘 | Laura Poggio Borut Vrsaj Erwin Hepperle | 2008 | Landscape and Urban Planning2008，88，24： | 1 |
| 5 | Hand-feel soil texture observations to evaluate the accuracy of digital soil maps for local prediction of soil particle size distribution:A case study in Central France显示文摘Digital maps of soil properties are now widely available.End-users now can access several digital soil mapping(DSM)products of soil properties,produced using different models,calibration/training data,and covariates at various spatial scales from global to local.Therefore,there is an urgent need to provide easy-to-understand tools to communicate map uncertainty and help end-users assess the reliability of DSM products for use at local scales.In this study,we used a large amount of hand-feel soil texture(HFST)data to assess the performance of various published DSM products on the prediction of soil particle size distribution in Central France.We tested four DSM products for soil texture prediction developed at various scales(global,continental,national,and regional)by comparing their predictions with approximately 3200 HFST observations realized on a 1:50000 soil survey conducted after release of these DSM products.We used both visual comparisons and quantitative indicators to match the DSM predictions and HFST observations.The comparison between the low-cost HFST observations and DSM predictions clearly showed the applicability of various DSM products,with the prediction accuracy increasing from global to regional predictions.This simple evaluation can determine which products can be used at the local scale and if more accurate DSM products are required. | Anne C.RICHER-de-FORGES Dominique ARROUAYS Laura POGGIO Songchao CHEN Marine LACOSTE Budiman MINASNY Zamir LIBOHOVA Pierre ROUDIER Vera LMULDER HervéNÉDÉLEC Guillaume MARTELET Blandine LEMERCIER Philippe LAGACHERIE Hocine BOURENNANE | 2023 | Pedosphere2023，33，5： | 0 |
| 6 | Global mapping of volumetric water retention at 100,330 and 15000 cm suction using the WoSIS database显示文摘Present global maps of soil water retention(SWR)are mostly derived from pedotransfer functions(PTFs)applied to maps of other basic soil properties.As an alternative,'point-based'mapping of soil water content can improve global soil data availability and quality.We developed point-based global maps with estimated uncertainty of the volumetric SWR at 100,330 and 15000 cm suction using measured SWR data extracted from the WoSIS Soil Profile Database together with data estimated by a random forest PTF(PTF-RF).The point data was combined with around 200 environmental covariates describing vegetation,terrain morphology,climate,geology,and hydrology using DSM.In total,we used 7292,33192 and 42016 SWR point observations at 100,330 and 15000 cm,respectively,and complemented the dataset with 436108 estimated values at each suction.Tenfold cross-validation yielded a Root Mean Square Error(RMSE)of6380,7.112 and 6.48510^(-2)cm^(3)cm^(-3),and a Model Efficiency Coefficient(MEC)of0.430,0386,and 0.471,respectively,for 100,330 and 15000 cm.The results were also compared to three published global maps of SWR to evaluate differences between point-based and map-based mapping approaches.Point-based mapping performed better than the three map-based mapping approaches for 330 and 15000 cm,while for 100 cm results were similar,possibly due to the limited number of SWR observa-tions for 100 cm.Major sources or uncertainty identified included the geographical clustering of the data and the limitation of the covariates to represent the naturally high variation of SWR. | Maria Eliza Turek Laura Poggio Niels H.Batjes Robson Andre Armindo Quirijn de Jong van Lier Luis de Sousa Gerard B.M.Heuvelink | 2023 | International Soil and Water Conservation Research2023，11，2： | 0 |
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