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Global mapping of volumetric water retention at 100,330 and 15000 cm suction using the WoSIS database

International Soil and Water Conservation Research 2023年第2期11卷 225-239页

作者： Maria Eliza Turek laura poggio Niels H.Batjes Robson Andre Armindo Quirijn de Jong van Lier Luis de Sousa Gerard B.M.Heuvelink ISRIC-World Soll Information Wageningemthe Netherlands Graduate Program in Environmental Engineering Federal University of ParunaCurtibaR Brazil Soll Geography and Landscope Group Wageningen University Wageningenthe Netherlands Department of Physics Federul University of LavrasMGBrarll CENA-Universiy of Sao Poulo PinacicabasaoBrazil

Present global maps of soil water retention(SWR)are mostly derived from pedotransfer functions(PTFs)applied to maps of other basic soil *** an alternative,'point-based'mapping of soil water content can improve global soil data availability and *** 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 *** 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 *** 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 *** results were also compared to three published global maps of SWR to evaluate differences between point-based and map-based mapping ***-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 *** 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.

关键词： Digital soil mapping Soil hydraulic properties Pedometrics SoilGrids

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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

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Pedosphere 2023年第5期33卷 731-743页

作者： 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 INRAE(Institut national de recherche pour l'agriculture l'alimentation et l'environnement)Info&Sols UnitOrléans 45075France ISRIC(International Soil Reference and Information Centre)Wageningen P.O.Box 353Wageningen 6700The Netherlands Zhejiang University-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 311200China The University of Sydney Sydney Institute of Agriculture.Eveleigh NSW 2015Australia The University of Sydney School of Life and Environmental SciencesEveleigh NSW 2015Australia USDA-ARS(United States Department of Agriculture-Agricultural Research Service) Dale Bumpers Small Farms Research Center6883 S.State Hwy.23Booneville AR 72927USA Landcare Research-Manaaki Whenua Palmerston North 4442New Zealand Soil Geography and Landscape Group Wageningen UniversityP.O.Box 47Wageningen 6700The Netherlands Chambre d'Agriculture du Loiret Orléans F-45000France Bureau de Recherches Géologiques et Minières BP 36009Orléans cedex 2Orléans 45060France UMR SAS(UnitéMixte de Recherche"Sol Agro et hydrosystème Spatialisation")Institut Agro INRAERennes F-35000France UMR LISAH(UnitéMixte de Recherche"Laboratoire d'Etude des Interactions entre Sol-Agrosystème-Hydrosystème") INRAEInstitut AgroIRD(Institut de Recherche pour le Développement)Montpellier F-34000France

Digital maps of soil properties are now widely ***-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 ***,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 *** 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 *** 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 *** used both visual comparisons and quantitative indicators to match the DSM predictions and HFST *** 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 *** simple evaluation can determine which products can be used at the local scale and if more accurate DSM products are required.

关键词： digital soil mapping products easy-to-understand tool hand-feel observation local use map uncertainty prediction performance spatial extent visual assessment

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