Quantification of macropore flow in Danish soils using near-saturated hydraulic properties

Kotlar, Ali Mehmandoost; Lier, Quirijn de Jong van; Andersen, Hans Estrup; Nørgaard, Trine; Iversen, Bo V.

doi:10.1016/j.geoderma.2020.114479

Cited by 18 publications

(9 citation statements)

References 47 publications

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“…The availability of soil texture maps in raster format (50) therefore directly enabled the spatial prediction of macropore flow. The higher resolution of the soil textural maps from 2013-2014 and robust PTFs enabled the development of maps of saturated and unsaturated hydraulic conductivities as well as water contents at specific pressure heads [Figure 4B (75)]. These results indicated that soils in eastern Denmark, which contain higher amounts of clay, have a higher probability for macropore flow.…”

Section: Water Regulationmentioning

confidence: 99%

Soil assessment in Denmark: Towards soil functional mapping and beyond

et al. 2023

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Soil provides essential ecosystem services sustaining and improving human life, but mapping soil functions is an ongoing challenge. Denmark has a long history of carrying out soil assessments − originally in order to determine tax revenues for the king, and, more recently, for aiding policymakers and farmers. This knowledge has supported the development of intensive agricultural systems while maintaining the provision of ecosystem services (e.g., clean water). Getting an overview of historical soil surveys and pedological mapping approaches can generate useful information for mapping soil, identifying gaps and proposing directions for future research. In this review, we explore the evolution of soil and environmental inventories, the historical development of soil mapping methods, and how these factors contributed to a better spatial understanding of soil functions. Specifically, we discuss soil functions related to water regulation (e.g., drainage, groundwater and water surface interactions, water table), water filtering (e.g., nitrogen leaching), carbon sequestration (e.g., peatlands), agricultural production (e.g., land suitability, wheat yields), and threats related to soil degradation (e.g., soil erosion). Denmark has benefitted from a government-coordinated approach, promoting detailed and systematic national soil surveys and environmental monitoring programmes. The large databases produced in the surveys formed the basis for mapping several soil properties and functions at increasingly high resolutions over the last many years based on developments in machine learning. In contrast to methodological advances in soil mapping and relevant contributions to pedometric research, we identified a lack of spatial information on soil biodiversity. Detailed spatial information about soil functions is essential to address global issues, such as climate change, food security and water security, and the experience of mapping soil functions in Denmark can be a source of inspiration to other parts of the world.

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Section: Water Regulationmentioning

confidence: 99%

Soil assessment in Denmark: Towards soil functional mapping and beyond

et al. 2023

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“…comm.). Soil information was available in each locality for depths 0-30, 30-60, 60-100, 100-200 cm and described texture (clay, sand, silt), carbon content, hydraulic conductivity and plant available water (Adhikari et al, 2013;Kotlar et al, 2020).…”

Section: Environmental Data and Environmental Covariatesmentioning

confidence: 99%

Integrating a growth degree-days based reaction norm methodology and multi-trait modeling for genomic prediction in wheat

Raffo

Sarup

Andersen³

et al. 2022

Front. Plant Sci.

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Multi-trait and multi-environment analyses can improve genomic prediction by exploiting between-trait correlations and genotype-by-environment interactions. In the context of reaction norm models, genotype-by-environment interactions can be described as functions of high-dimensional sets of markers and environmental covariates. However, comprehensive multi-trait reaction norm models accounting for marker × environmental covariates interactions are lacking. In this article, we propose to extend a reaction norm model incorporating genotype-by-environment interactions through (co)variance structures of markers and environmental covariates to a multi-trait reaction norm case. To do that, we propose a novel methodology for characterizing the environment at different growth stages based on growth degree-days (GDD). The proposed models were evaluated by variance components estimation and predictive performance for winter wheat grain yield and protein content in a set of 2,015 F6-lines. Cross-validation analyses were performed using leave-one-year-location-out (CV1) and leave-one-breeding-cycle-out (CV2) strategies. The modeling of genomic [SNPs] × environmental covariates interactions significantly improved predictive ability and reduced the variance inflation of predicted genetic values for grain yield and protein content in both cross-validation schemes. Trait-assisted genomic prediction was carried out for multi-trait models, and it significantly enhanced predictive ability and reduced variance inflation in all scenarios. The genotype by environment interaction modeling via genomic [SNPs] × environmental covariates interactions, combined with trait-assisted genomic prediction, boosted the benefits in predictive performance. The proposed multi-trait reaction norm methodology is a comprehensive approach that allows capitalizing on the benefits of multi-trait models accounting for between-trait correlations and reaction norm models exploiting high-dimensional genomic and environmental information.

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“…However, obstacles for models with high predictive ability are the spatial variability and the lack of adequate field-scale data on soil hydraulic properties (Nielsen et al, 1973;Varvaris et al, 2019;Wood et al, 1988). Increased attention has been given to the development of hydrogeological concepts using pedotransfer functions (PTF) and a promising spectroscopic method called visible−near-infrared spectroscopy (vis−NIRS) for predicting hydraulic parameters from available directly or indirectly measured soil properties (Babaeian et al, 2015;Iversen et al, 2011;Kotlar et al, 2019Kotlar et al, , 2020Pittaki-Chrysodonta et al, 2018;Varvaris et al, 2019). The vis−NIRS is a simple, rapid, reproducible, and nondestructive method, since this method avoids the use of hazardous chemicals (Pittaki-Chrysodonta et al, 2019;Stenberg et al, 2010).…”

Section: Core Ideasmentioning

confidence: 99%

Parameterization of two‐dimensional approaches in HYDRUS‐2D: Part 1. Simulating water flow dynamics at the field scale

Varvaris

Pittaki‐Chrysodonta

Børgesen

et al. 2021

Soil Science Soc of Amer J

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Parameterization of theeffective properties as input in hydrogeological models for simulating water flow is a time consuming and costly process, and it is characterized by high uncertainty because of the spatial variability of soil properties. Integrating visible−near-infrared spectroscopy (vis−NIRS) models and a developed pedotransfer function, a hydrogeological tool was suggested by Varvaris et al. in 2019 for estimating the hydraulic properties used in an equilibrium approach. In the current study, the proposed concept was further expanded for assisting on a rapid and inexpensive parameterization of effective parameters in nonequilibrium models. In our approach, the soil-water retention curves for the wet and hyper-dry ends were predicted using existing vis−NIRS calibration models for obtaining the parameters for the Campbell retention model and the Campbell and Shiozawa model, respectively.The HYDRUS-2D software package was used to simulate tile drainage discharge in a loamy structured field using as initial input hydraulic parameters the output from the suggested concept. The estimated parameters were validated based on measured hydraulic properties in the laboratory. Two-dimensional models incorporating nonequilibrium flow were used to evaluate the ability of each approach to predict the tile drainage discharge: a single-porosity with modified van Genuchten function, a dual-porosity model, and a dual-permeability model. All approaches gave a fairly good fit to the hydrograph features for both calibration and validation datasets with dual-porosity to present the highest predictive ability. Finally, the suggested initial parameterization concept proved its potential to be used as an alternative for covering the absence of measured data of soil hydraulic properties.

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Quantification of macropore flow in Danish soils using near-saturated hydraulic properties

Cited by 18 publications

References 47 publications

Soil assessment in Denmark: Towards soil functional mapping and beyond

Soil assessment in Denmark: Towards soil functional mapping and beyond

Integrating a growth degree-days based reaction norm methodology and multi-trait modeling for genomic prediction in wheat

Parameterization of two‐dimensional approaches in HYDRUS‐2D: Part 1. Simulating water flow dynamics at the field scale

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