Bodemkaart en Geomorfologische Kaart van Nederland: actualisatie 2020-2021 en toepassing : deelgebieden Gelderse Vallei-Zuid en -West en Veluwe-Zuid

Brouwer, Fokke; Maas, G.J.; Teuling, Kees; Harkema, Tom; Verzandvoort, S.J.E.

doi:10.18174/557455

Cited by 5 publications

(6 citation statements)

References 8 publications

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“…We mapped SOM instead of SOC because, in the Netherlands, SOC was not included in routine soil analyses until recent years. However, SOC can be derived from SOM, as investigated in other studies in the Netherlands (van Tol-Leenders et al, 2019;van den Elsen et al, 2020;Teuling et al, 2021;Knotters et al, 2022). Plant exploitable (effective) depth is mostly limited by high groundwater levels in most regions of the country.…”

Section: Strengthsmentioning

confidence: 99%

“…Information on quantitative soil properties using the data collected by StiBoKa (Brus and Heuvelink, 2007;Brus et al, 2009;Kempen et al, 2014;van den Berg et al, 2017;Helfenstein et al, 2022Helfenstein et al, , 2024c. Several regions of the national soil map have since been updated (Kempen et al, 2009(Kempen et al, , 2011(Kempen et al, , 2012ade Vries et al, 2014de Vries et al, , 2017de Vries et al, , 2018Brouwer et al, 2018;Walvoort, 2019, 2020;Brouwer et al, 2021Brouwer et al, , 2023 and a variety of thematic maps were derived, such as a map of re-worked soils (Brouwer and van der Werff, 2012), a peat thickness map (Brouwer et al, 2018), a map of soil landscapes Maas, 2022, 2023) and the soil physical units map of the Netherlands (BOFEK; Heinen et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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BIS-4D: Mapping soil properties and their uncertainties at 25 m resolution in the Netherlands

Helfenstein,

Mulder,

Hack-ten Broeke

et al. 2024

Preprint

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Abstract. In response to the growing societal awareness of the critical role of healthy soils, there is an increasing demand for accurate and high-resolution soil information to inform national policies and support sustainable land management decisions. Despite advancements in digital soil mapping and initiatives like GlobalSoilMap, quantifying soil variability and its uncertainty across space, depth, and time remains a challenge. Therefore, maps of key soil properties are often still missing on a national scale, which is also the case in the Netherlands. To meet this challenge and fill this data gap, we introduce BIS-4D, a high resolution soil modelling and mapping platform for the Netherlands. BIS-4D delivers maps of soil texture (clay, silt and sand content), bulk density, pH, total nitrogen, oxalate-extractable phosphorus, cation exchange capacity and their uncertainties at 25 m resolution between 0–2 m depth in 3D space. Additionally, it provides maps of soil organic matter and its uncertainty in 3D space and time between 1953–2023 at the same resolution and depth range. The statistical model uses machine learning informed by soil observations numbering between 3815–855 950, depending on the soil property, and 366 environmental covariates. We assess the accuracy of mean and median predictions using design-based statistical inference of a probability sample and location-grouped 10-fold cross-validation, and prediction uncertainty using the prediction interval coverage probability. We found that the accuracy of clay, sand and pH maps was highest, with the model efficiency coefficient (MEC) ranging between 0.6–0.92 depending on depth. Silt, bulk density, soil organic matter, total nitrogen and cation exchange capacity (MEC = 0.27–0.78), and especially oxalate-extractable phosphorus (MEC = −0.11–0.38), were more difficult to predict. One of the main limitations of BIS-4D is that prediction maps cannot be used to quantify the uncertainty of spatial aggregates. A step-by-step manual helps users decide whether BIS-4D is suitable for their intended purpose, an overview of allmaps and their uncertainties can be found in the supplementary information (SI), openly available code and input data enhance reproducibility and future updates, and BIS-4D prediction maps can be easily downloaded at https://doi.org/10.4121/0c934ac6-2e95-4422-8360-d3a802766c71 (Helfenstein et al., 2024a). BIS-4D fills the previous data gap of a national scale GlobalSoilMap product in the Netherlands and will hopefully facilitate the inclusion of soil spatial variability as a routine and integral part of decision support systems.

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Section: Strengthsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

BIS-4D: Mapping soil properties and their uncertainties at 25 m resolution in the Netherlands

Helfenstein,

Mulder,

Hack-ten Broeke

et al. 2024

Preprint

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“…Bij recente actualisaties kan door het gebruik van Algemeen Hoogtebestand Nederland (AHN) en GIS-technieken een hogere mate van detail bereikt worden. Deze karteringen worden ook vaker samen met de actualisatie van de Bodemkaart van Nederland uitgevoerd, waardoor kaartvlakken beter aansluiten (Brouwer et al, 2021;. Het grootste deel van de kaart is nog gebaseerd op de kartering 'Oude stijl' met de oorspronkelijke kaartschaal (zie Figuur 2.2).…”

Section: Geomorfologieunclassified

“…Vallei is te zien (Brouwer et al, 2021). Om voor dergelijke terreinen toch een goede inschatting te kunnen maken van de natuurpotenties, is het wenselijk om deze wél te karteren op de LBK.…”

Section: Veranderingen Als Gevolg Van Inrichtingunclassified

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Landschappelijke Bodemkartering (LBK) : Achtergronden, toepassingen en technische documentatie

van Delft,

Maas

2023

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In dit rapport bespreken wij de achtergronden, toepassingen en technische documentatie van de methode voor de 'Landschappelijke Bodemkartering'. Hierbij worden basiskaarten van geomorfologie, bodem en oppervlaktewaterdynamiek door middel van een aantal sleutels vertaald naar landschapsecologisch relevante eenheden op een 'Landschappelijke Bodemkaart' (LBK) voor een gebied. De LBK-Nederland versie 2023 is gepubliceerd op de website Bodemdata.nl, maar ook van kleinere gebieden kan een LBK afgeleid worden voor specifieke vragen. Deze kaarten kunnen geïnterpreteerd worden voor diverse toepassingen, zoals de realisatiekansen voor natuur of voor het beoordelen van kansen voor klimaatadaptatie. Omdat de methode is vastgelegd in een aantal R-Scripts, is het afleiden grotendeels geautomatiseerd en daardoor reproduceerbaar. Zo kan er bij elke revisie van de landelijke BRO-Geomorfologische kaart en BRO-Bodemkaart een nieuwe LBK-Nederland afgeleid worden. De inhoudelijke documentatie zal elders verzorgd worden.This report discusses the background, applications and technical documentation of the Landscape Soil Mapping method. The method combines base maps of geomorphology, soil and surface water dynamics for an area and in a number of stages translates these into a Landscape Soil Map (Landschappelijke Bodemkaart -LBK) with landscape ecologically relevant units. The LBK for the Netherlands version 2023 is available on the website Bodemdata.nl.LBKs for smaller areas can also be generated for specific purposes. These maps can be interpreted for various applications, such as identifying the potential for restoring or creating natural habitats or assessing options for climate adaptation. As the method is written in R scripts, the generation of maps is largely automated and therefore reproducible. For example, a new LBK for the Netherlands can be generated when the geomorphology and soil maps in the National Key Register of the Subsurface are revised. The content documentation will be published elsewhere.

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Monitoring long-term peat subsidence with subsidence platens in Zegveld, The Netherlands

Massop,

Hessel,

van den Akker

et al. 2024

Geoderma

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Bodemkaart en Geomorfologische Kaart van Nederland: actualisatie 2020-2021 en toepassing : deelgebieden Gelderse Vallei-Zuid en -West en Veluwe-Zuid

Cited by 5 publications

References 8 publications

BIS-4D: Mapping soil properties and their uncertainties at 25 m resolution in the Netherlands

BIS-4D: Mapping soil properties and their uncertainties at 25 m resolution in the Netherlands

Landschappelijke Bodemkartering (LBK) : Achtergronden, toepassingen en technische documentatie

Monitoring long-term peat subsidence with subsidence platens in Zegveld, The Netherlands

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