Soil Dynamic Models

Heinen, M.; Assinck, F.B.T.; Groenendijk, P.; Schoumans, O.F.

doi:10.1002/9781118921487.ch8-2

Cited by 4 publications

(4 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Farmers should also be aware about the potential risks of contaminants present in the organic resources, especially when they use these fertilizers frequently (Section 5.5). The use of farm specific emission factors and coefficients would improve the accuracy of emission calculations, using for example process-based soils models (Heinen et al, 2020).…”

Section: Challenges For Farmersmentioning

confidence: 99%

Managing organic resources in agriculture: future challenges from a scientific perspective

Velthof,

Cals,

van 't Hull

et al. 2024

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

Recycling of organic resources into agriculture has the potential to greatly increase nutrient use efficiency and improve soil carbon balance, but improper management can have adverse effects on the environment. Agriculture therefore faces large challenges to increase yields while decreasing these emissions to the environment. In this paper, we review (i) the availability and composition of organic resources, (ii) their agronomic value and risk of emissions, (iii) potential measures to reduce their emissions, and (iv) future challenges to support farmers and policy makers. The total amount of organic resource applied to soil amounted on average 41 kg nitrogen per ha agricultural land, 9 kg phosphorus per ha, and 456 kg carbon per ha in EU-27 + UK in 2017. Solid pig and cattle manures and cattle slurry are the most used organic resources. The availability of new organic resources from food processing, sewage sludge, municipal bio-wastes, and upcoming manure treatment techniques as fertilizer or soil conditioner is expected to strongly increase over the coming decade. Insight is needed into the composition of organic resources, the plant-availability of nutrients, the degradability of organic matter and the presence of contaminants. Measurement techniques become available to characterize soils, manures, crops, and emissions to the environment. However, the interpretation, and integration of data, and recommendations to farmers and policymakers using large amounts of data is expected to become more and more challenging. Many measures are available to improve nutrient and carbon management and to reduce emissions, including proper application, technological measures and structural changes in agriculture. For many measures, there is a risk of trade-offs that could lead to pollution swapping at different scales. We should focus on finding synergies between measures and no-regret management choices to develop effective mitigation strategies. The main future challenge for managing organic resources in agriculture is the development of an integrated nutrient management approach, including (i) the characterization of organic resources, their agronomic value and their environmental risks, (ii) knowledge of potential synergies and trade-offs between management measures, and (iii) implementation of this knowledge into decision support tools, models and legislation to support farmers and policy makers.

show abstract

Section: Challenges For Farmersmentioning

confidence: 99%

Managing organic resources in agriculture: future challenges from a scientific perspective

Velthof,

Cals,

van 't Hull

et al. 2024

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

show abstract

“…Met het ANIMO-model (Renaud et al, 2005;Groenendijk et al, 2014;Heinen et al, 2020) is met de gegevens van dit driejarige onderzoek berekend wat in deze proeven het effect is van een vanggewas op de nitraatconcentratie in het grondwater in de verschillende jaren. De simulatie is beperkt tot één vanggewas: winterrogge, gezaaid eind september en ingewerkt eind maart met een totale N-inhoud van 45 kg/ha N. De aanpak en resultaten staan in bijlage 8 en worden hier kort beschreven.…”

Section: Modelsimulatie Nitraatconcentratieunclassified

“…Met het ANIMO-model (Renaud et al, 2005;Groenendijk et al, 2014;Heinen et al, 2020) kan berekend worden wat het effect is van een vanggewas op de nitraatconcentratie in het grondwater in de verschillende jaren. Zo'n modelberekening is het resultaat van verschillen tussen de jaren in neerslag, stikstofbemesting en opname door het aardappelgewas en het vanggewas.…”

Section: Doelunclassified

Effect N-vanggewassen na aardappel op zandgrond op de nitraatuitspoeling : Verslag van driejarig veldonderzoek op zuidelijk zandgrond te Vredepeel

van Geel,

Rietra,

Verstegen

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Modeling of fate and transport of soil contaminants is vital for quantifying and predicting soil dynamics and process. ,,, Currently, typical soil physical models mainly use the Richards equation and convection–dispersion equations to describe water and solute flow and transport through soils . Modeling of soil biodegradation is often driven by soil pore water composition, weathering, and microbiological and chemical processes (e.g., oxidation of pyrite in clay barriers) .…”

Section: Current State and Challenges Of Rtcsm Data Application In So...mentioning

confidence: 99%

A Critical Review for Real-Time Continuous Soil Monitoring: Advantages, Challenges, and Perspectives

Fan

Wang

Funk

et al. 2022

Environ. Sci. Technol.

View full text Add to dashboard Cite

Most soil quality measurements have been limited to laboratory-based methods that suffer from time delay, high cost, intensive labor requirement, discrete data collection, and tedious sample pretreatment. Real-time continuous soil monitoring (RTCSM) possesses a great potential to revolutionize field measurements by providing first-hand information for continuously tracking variations of heterogeneous soil parameters and diverse pollutants in a timely manner and thus enable constant updates essential for system control and decision-making. Through a systematic literature search and comprehensive analysis of state-of-the-art RTCSM technologies, extensive discussion of their vital hurdles, and sharing of our future perspectives, this critical review bridges the knowledge gap of spatiotemporal uninterrupted soil monitoring and soil management execution. First, the barriers for reliable RTCSM data acquisition are elucidated by examining typical soil monitoring techniques (e.g., electrochemical and spectroscopic sensors). Next, the prevailing challenges of the RTCSM sensor network, data transmission, data processing, and personalized data management are comprehensively discussed. Furthermore, this review explores RTCSM data application for updating diverse strategies including high-fidelity soil process models, control methodologies, digital soil mapping, soil degradation, food security, and climate change mitigation. Finally, the significance of RTCSM implementation in agricultural and environmental fields is underscored through illuminating future directions and perspectives in this systematic review.

show abstract

Soil Dynamic Models

Cited by 4 publications

References 76 publications

Managing organic resources in agriculture: future challenges from a scientific perspective

Managing organic resources in agriculture: future challenges from a scientific perspective

Effect N-vanggewassen na aardappel op zandgrond op de nitraatuitspoeling : Verslag van driejarig veldonderzoek op zuidelijk zandgrond te Vredepeel

A Critical Review for Real-Time Continuous Soil Monitoring: Advantages, Challenges, and Perspectives

Contact Info

Product

Resources

About