3D soil hydraulic database of Europe at 250 m resolution

Tóth, Brigitta; Weynants, Mélanie; Pásztor, László; Hengl, Tomislav

doi:10.1002/hyp.11203

Cited by 124 publications

(104 citation statements)

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“…Dai et al () have prepared a soil hydraulic map of China of seven soil depths of up to 1.38 m at 1 km resolution using several widely accepted point and parametric PTFs applied on the soil map of China. Tóth et al () have calculated soil water retention, hydraulic conductivity at certain matric potential values, and MvG parameters at seven soil depths of up to 2 m depth at 250 m resolution for Europe with the EU‐HYDI PTFs of Tóth et al () based on SoilGrids 250 m (Hengl et al, ). Chaney et al () estimated van Genuchten hydraulic parameters at various depths (from 0 to 2 m) based on PTFs input of sand, clay, bulk density, and water content at −33 and −1500 kPa.…”

Section: Methodological Challenges For Ptf Use In Earth System Sciencesmentioning

confidence: 99%

“…generated a global map of soil hydraulic parameters for a coarse 0.25°grid based on the fine SoilGrids 1 km database by fitting a single water retention curve through all subpixel retention curves Dai et al (2013). have prepared a soil hydraulic map of China of seven soil depths of up to 1.38 m at 1 km resolution using several widely accepted point and parametric PTFs applied on the soil map of China Tóth et al (2017). have calculated soil water retention, hydraulic conductivity at certain matric potential values, and MvG parameters at seven soil depths of up to 2 m depth at 250 m resolution for Europe with the EU-HYDI PTFs ofTóth et al (2015) based on SoilGrids 250 m Chaney et al (2016).…”

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confidence: 99%

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Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

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364

284

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Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to complex knowledge rules that relate available soil information to soil properties and variables that are needed to parameterize soil processes. In this paper, we review the existing PTFs and document the new generation of PTFs developed in the different disciplines of Earth system science. To meet the methodological challenges for a successful application in Earth system modeling, we emphasize that PTF development has to go hand in hand with suitable extrapolation and upscaling techniques such that the PTFs correctly represent the spatial heterogeneity of soils. PTFs should encompass the variability of the estimated soil property or process, in such a way that the estimation of parameters allows for validation and can also confidently provide for extrapolation and upscaling purposes capturing the spatial variation in soils. Most actively pursued recent developments are related to parameterizations of solute transport, heat exchange, soil respiration, and organic carbon content, root density, and vegetation water uptake. Further challenges are to be addressed in parameterization of soil erosivity and land use change impacts at multiple scales. We argue that a comprehensive set of PTFs can be applied throughout a wide range of disciplines of Earth system science, with emphasis on land surface models. Novel sensing techniques provide a true breakthrough for this, yet further improvements are necessary for methods to deal with uncertainty and to validate applications at global scale.

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Section: Methodological Challenges For Ptf Use In Earth System Sciencesmentioning

confidence: 99%

mentioning

confidence: 99%

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

Self Cite

364

284

View full text Add to dashboard Cite

show abstract

“…In order to refine the spatial and/or thematic resolution of the relative frequency map of IEW inundation, our further research plans will place great emphasis on the consideration of other influential factors (additional variables) and the development of the current predictor variables. The soil factor can be improved by new thematic soil map products compiled similarly but on national level to the EU‐SoilHydroGrids 3D database providing spatial and quantitative information about the most frequently demanded soil hydraulic properties at 7 different layer depths down to 2 m (Tóth, Weynants, Pásztor, & Hengl, ). The geological factor could also be revised; besides the depth and thickness of critical geological formations, their permeability can also be considered. The groundwater factor could be refined with the database of confined groundwater and flow system, which is really important when involving the groundwater uprush (Bozán & Körösparti, ) into the mapping process. The hydrometeorological factor can be developed with further gridded data set of surface meteorological variables (minimum and maximum accumulated precipitation, accumulated temperature, etc. ). The land use factor should be also improved because many other natural and anthropogenic factors have direct or indirect effects on the formation of IEW inundation (i.e., irrigated and meliorated areas, current applied agricultural techniques, NATURA2000 protected areas, IEW canal networks and retention reservoirs, etc.…”

Section: Resultsmentioning

confidence: 99%

“…• The soil factor can be improved by new thematic soil map products compiled similarly but on national level to the EU-SoilHydroGrids 3D database providing spatial and quantitative information about the most frequently demanded soil hydraulic properties at 7 different layer depths down to 2 m (Tóth, Weynants, Pásztor, & Hengl, 2017).…”

Section: Resultsmentioning

confidence: 99%

Integrated spatial assessment of inland excess water hazard on the Great Hungarian Plain

et al. 2018

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Inland excess water (IEW) is a form of surplus surface water, often regarded as a specific flood type. However, it occurs most frequently in local depressions of large flat areas, irrespective of river floods and the surface water networks. IEW is considered to be a typical Carpathian Basin problem, as it can cause major land degradation problems in the agricultural areas of Hungary, mainly located on the Great Hungarian Plain (GHP). An innovative method for mapping the probability of IEW inundation is proposed in this study. This method is based on the geostatistical modelling of the relationship between the natural and human driving factors and the occurrence of IEW inundations. The results show that significant part of the GHP (about 500,000 hectares) is moderately or highly affected by IEW inundations, where the combination of multiple influencing factors simultaneously occur. The resulted IEW inundation probability map can be used to meet future challenges in agricultural management and the adaptations to climate change effects.

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“…Indeed, the meteorological data needed to calculate the climate parameters of G08/G10 belong to the data requirements of most hydrological models, and distributed estimates of LAI are available thanks to remote sensing. Also, soil water holding capacity may be estimated from soil properties such as texture and organic matter content, and is also commonly contained in distributed databases of soil properties (Tóth et al, 2017). Furthermore, the numerical approximation presented here for G10 facilitates the implementation of the 25 model.…”

Section: Implications For Model Developmentmentioning

confidence: 99%

Testing an optimality-based model of rooting zone water storage capacity in temperate forests

Speich¹,

Lischke²,

Zappa³

2017

Preprint

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Abstract. Rooting zone water storage capacity ! is a crucial parameter in models of hydrology, ecosystem gas exchange 10 and vegetation dynamics. Despite its importance, this parameter is still poorly constrained and subject to high uncertainty.We tested the analytical, optimality-based model of effective rooting depth proposed by Guswa (2010) with regard to its applicability for parameterizing ! in temperate forests. The model assumes that plants dimension their rooting systems in order to maximize net carbon gain. Results from this model were compared against values obtained by calibrating a local water balance model against latent heat flux and soil moisture observations from 15 eddy covariance sites. To increase the 15 applicability of the rooting depth model, we provide a numerical approximation of its underlying probabilistic soil moisture model.The calibration and validation of the local water balance model showed that the concept of a single rooting zone storage capacity was appropriate at most temperate and cold sites, but not at Mediterranean sites and for very coarse soils. At a majority of sites, the estimates of ! are generally in good agreement. However, mismatches were found in stands dominated 20 by Norway spruce, especially at high elevations. These mismatches were attributed to the fact that the model does not consider rooting depth limitations due to oxygen stress and low soil temperature. Also, it is not clear whether the rooting behavior of pines on coarse soils is captured properly. Nevertheless, the overall good agreement suggests that this model may be useful for generating estimates of rooting zone storage capacity for both hydrological and ecological applications.Another potential use is the dynamic parameterization of the rooting zone in process-based models, which greatly increases 25 the reliability of transient climate-impact assessment studies.

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3D soil hydraulic database of Europe at 250 m resolution

Cited by 124 publications

References 5 publications

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Integrated spatial assessment of inland excess water hazard on the Great Hungarian Plain

Testing an optimality-based model of rooting zone water storage capacity in temperate forests

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