Predicting Soil Compaction Risks Related to Field Traffic during Silage Maize Harvest

Duttmann, Rainer; Schwanebeck, Malte; Nolde, Michael; Horn, Rainer

doi:10.2136/sssaj2013.05.0198

Cited by 41 publications

(34 citation statements)

References 32 publications

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“…The IF includes all three tillage practices (CT, RT1, RT2) without HL. The HL are the sections in the front and back of the field, where highest traffic intensity occurs because of turning manoeuvres with the machinery (Duttmann et al ., ). The tillage treatment in the HL corresponds to the adjacent plots, as indicated by the different grey levels in Figure .…”

Section: Resultsmentioning

confidence: 97%

Spatial analysis of long‐term effects of different tillage practices based on penetration resistance

Kuhwald

Blaschek

Minkler

et al. 2016

Soil Use and Management

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Measuring penetration resistance (PR) is a common technique for evaluating the effects of field management on soils. This study focuses on the effects of long-term tillage on the spatial distribution of PR, comparing reduced and conventional tillage (CT) practices. The study site, located in Lower Saxony (Germany), has been subdivided into three plots, with one plot having been managed conventionally, whereas reduced tillage (RT) practices have been applied to the other two. In total, PR was measured at 63 randomly selected points. The PR data were stepwise interpolated using kriging with external drift. Core samples have been taken at 20 additional sites. The results show significant differences in PR between the different tillage practices. Within the conventionally managed plot, PR ranges to 2.3 MPa less in the topsoil than under RT. However, measured saturated hydraulic conductivity and amount of biopores at the depth of 30-35 cm are significantly greater under RT, indicating improved soil properties under RT. Comparisons between the headlands (HL) and the inner field point out the effects of intense field traffic in the HL, where maximum PR values of about 6 MPa have been measured. The spatial prediction of PR values show that long-term effects of different tillage practices result in clearly structured patterns between CT and RT and the HL. Combining extensive PR measurements and point measurements of additional soil properties supports an adequate interpretation of PR data and can lead to fieldwide derivation of soil functions influenced by field management.

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Section: Resultsmentioning

confidence: 97%

Spatial analysis of long‐term effects of different tillage practices based on penetration resistance

Kuhwald

Blaschek

Minkler

et al. 2016

Soil Use and Management

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show abstract

“…Horn and Fleige (2003) developed pedotransfer functions to estimate compaction sensitivity based on bulk density texture, organic matter content and soil structure as well as moisture status. Horn and Fleige (2003) also addressed the changes in physical soil functions that were related to soil surface loads, for example, due to vehicle traffic (Duttmann et al, 2014). Assouline (2006a,b) extended models for the soil water retention and hydraulic conductivity curves to account for structural changes in soils resulting from changes in porosity, enabling the prediction of the hydraulic properties of compacted or tilled soils.…”

Section: Modeling Soil Supporting and Degrading Processesmentioning

confidence: 99%

Modeling Soil Processes: Review, Key Challenges, and New Perspectives

Vereecken

Schnepf

Hopmans

et al. 2016

Vadose Zone Journal

526

394

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The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate-change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.

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“…These models can be used to estimate and depict the site-related soil compaction risk (van den Akker and Hoogland, 2011;D'Or and Destain, 2014), for individual machinery passes or operations D efossez et al, 2003;Trautner and Arvidsson, 2003;Lozano et al, 2013), or for a combination of both (Duttmann et al, 2014). Compared to these models, the model used here can quantify and assess the soil compaction risk of entire crop rotations up to the farm level.…”

Section: Soil Compaction Risk Modelled For the Model Farm Aiterhofenmentioning

confidence: 99%

Environmental impacts of different crop rotations in terms of soil compaction

Götze

Rücknagel

Jacobs³

et al. 2016

Journal of Environmental Management

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Predicting Soil Compaction Risks Related to Field Traffic during Silage Maize Harvest

Cited by 41 publications

References 32 publications

Spatial analysis of long‐term effects of different tillage practices based on penetration resistance

Spatial analysis of long‐term effects of different tillage practices based on penetration resistance

Modeling Soil Processes: Review, Key Challenges, and New Perspectives

Environmental impacts of different crop rotations in terms of soil compaction

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