Effect of subsoil tillage during pipeline construction activities on near‐term soil physical properties and crop yields in the right‐of‐way

Tekeste, Mehari Z.; Ebrahimi, Elnaz; Hanna, Mark; Neideigh, Erica R.; Horton, Robert

doi:10.1111/sum.12623

Cited by 14 publications

(18 citation statements)

References 33 publications

(49 reference statements)

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“…Larger amounts of non‐decomposed roots in the ROW easement area were explained by high values of soil BD and CI, as reported by Tekeste et al. (2020).…”

Section: Resultssupporting

confidence: 78%

“…Dornbush et al (2002) reported that soil disturbance decreased the decay of fine roots due to changes in decomposer dynamics. Larger amounts of non-decomposed roots in the ROW easement area were explained by high values of soil BD and CI, as reported by Tekeste et al (2020).…”

Section: F I G U R Esupporting

confidence: 65%

“…Subsoil compaction results in a higher concentration of roots in the upper part of the subsoil layer (Bengough et al, 2011;Lipiec et al, 2012) due to excessive mechanical impedance or insufficient oxygen supply. The presence of a root-limiting hardpan and the magnitude of soil penetration resistance at an approximate depth of 400 mm (p ≤ .05; Figure 2d) in Z1 and Z2 (Tekeste et al, 2020) were expected to create similar root accumulation patterns in both of the disturbed zones. However, significant differences (p ≤ .05) in root mass, root tissue density, and root length density were observed between Z1 and Z2 in the 0-to-400-mm soil layer (Figure 2a, b, and c).…”

Section: Few If Any Only In Cracksmentioning

confidence: 99%

“…The dominant soil type was Clarion loam (fine-loamy, mixed, mesic Hapludolls). As explained by Tekeste et al (2019Tekeste et al ( , 2020, the long-term experiment (2017-2021) was based on a randomized complete block design. The field experiment included two distinct areas: (a) the ROW, described as a disturbed area, composed of two distinct zones-the trenched zone (Z1) and the highly trafficked zone (Z2); and (b) land adjacent to the ROW was designated as a control area (CN).…”

Section: Site and Field Characteristicsmentioning

confidence: 99%

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Buried pipeline installation impacts on soil structure and crop root decomposition

Ebrahimi

Tekeste

Horton

et al. 2022

Agricultural & Env Letters

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The severe manipulation of soil that occurs in the right‐of‐way (ROW) easement areas for pipeline installation leads to soil degradation and yield loss. The objectives of this study were to investigate the use of the Visual Evaluation of Soil Structure method (VESS) and root litter sampling as alternative ways to characterize pipeline installation impacts on soil degradation. Digital images of aggregate specimens and root samples were obtained from disturbed (trenched and highly trafficked ROW areas) and undisturbed (adjacent to the ROW) soil profiles one month after maize (Zea mays L.) harvest in Iowa. Images of soil aggregates indicated that pipeline installation deteriorated soil structure. Root attributes were significantly (p < 0.05) affected by the ROW activities. The non‐decomposed root mass in the highly trafficked area (3,568 kg ha–1) was two times greater than the root mass in undisturbed soil (1,779 kg ha–1). These data provide evidence that soil structure quality and root decomposition rates are affected by soil disturbance. The VESS and root measurements can be used in future studies to evaluate the impacts of soil disturbance.

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“…Larger amounts of non‐decomposed roots in the ROW easement area were explained by high values of soil BD and CI, as reported by Tekeste et al. (2020).…”

Section: Resultssupporting

confidence: 78%

Section: F I G U R Esupporting

confidence: 65%

Section: Few If Any Only In Cracksmentioning

confidence: 99%

Section: Site and Field Characteristicsmentioning

confidence: 99%

See 2 more Smart Citations

Buried pipeline installation impacts on soil structure and crop root decomposition

Ebrahimi

Tekeste

Horton

et al. 2022

Agricultural & Env Letters

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“…To couple this idea, we need to be able to better explain the mechanisms of yield drag/boost and be able to accurately model them (Kivi et al 2022). For example, one additional known yield drag mechanism in the Accola field is a diagonal line that follows the Bakken Pipeline installation (Tekeste et al 2021); an example of something that we may not currently be able to explain from available yield monitor and remote sensing data alone, and instead need on-field measurements and prior field knowledge to diagnose problems.…”

Section: Discussionmentioning

confidence: 99%

Augmenting agroecosystem models with remote sensing data and machine learning increases overall estimates of nitrate-nitrogen leaching

Nowatzke

Damiano²,

Miguez³

et al. 2022

Environ. Res. Lett.

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Process-based agroecosystem models are powerful tools to assess performance of managed landscapes, but their ability to accurately represent reality is limited by the types of input data they can use. Ensuring these models can represent cropping field heterogeneity and environmental impact is important, especially given the growing interest in using agroecosystem models to quantify ecosystem services from best management practices and land use change. We posited that augmenting process-based agroecosystem models with additional field-specific information such as topography, hydrologic processes, or independent indicators of yield could help limit simulation artifacts that obscure mechanisms driving observed variations. To test this, we augmented the agroecosystem model APSIM with field-specific topography and satellite imagery in a simulation framework we call Foresite. We used Foresite to optimize APSIM yield predictions to match those created from a machine learning model built on remotely sensed indicators of hydrology and plant productivity. Using these improved subfield yield predictions to guide APSIM optimization, total NO3-N loss estimates increased by 39% in maize and 20% in soybeans when summed across all years. In addition, we found a disproportionate total amount of leaching in the lowest yielding field areas vs the highest yielding areas in maize (42% vs 15%) and a similar effect in soybeans (31% vs 20%). Overall, we found that augmenting process-based models with now-common subfield remotely sensed data significantly increased values of predicted nutrient loss from fields, indicating opportunities to improve field-scale agroecosystem simulations, particularly if used to calculate nutrient credits in ecosystem service markets.

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Pipeline installation effects on soils and plants: A review and quantitative synthesis

Brehm

Culman

2022

Agrosystems Geosci & Env

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Oil and natural gas pipelines are essential to the transport of energy materials, but construction of these pipelines commonly causes disturbance to ecosystems. Due to variability in pipeline installation practices and environments, drawing consensus about how pipeline installations typically impact ecosystems is challenging. Here, we performed a systematic literature review to compile studies that have evaluated impacts of pipeline installation on soil and plant properties. We found 34 studies reporting pipeline impacts on agricultural and natural ecosystems from eight countries. We quantified and synthesized the magnitude of responses and found that the majority of studies found pipeline installation resulted in soil degradation via increased compaction and soil mixing, paired with decreased aggregate stability and soil carbon (C) relative to adjacent, undisturbed areas. Averaged across all studies, aggregate stability decreased 44.8%, water infiltration was reduced 85.6%, and compaction via penetration resistance increased 40.9% over pipeline areas relative to nondisturbed adjacent areas. This soil degradation led to general declines in plant productivity, with 15 out of 25 studies documenting declines in crop yields (6.2-45.6%) and six out of nine studies reporting decreased biomass from natural ecosystems (1.7-56.8%). We conclude from our quantitative synthesis that pipeline installation typically results in degraded soil and vegetation resources, and this can persist for many years following installation.

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Effect of subsoil tillage during pipeline construction activities on near‐term soil physical properties and crop yields in the right‐of‐way

Cited by 14 publications

References 33 publications

Buried pipeline installation impacts on soil structure and crop root decomposition

Buried pipeline installation impacts on soil structure and crop root decomposition

Augmenting agroecosystem models with remote sensing data and machine learning increases overall estimates of nitrate-nitrogen leaching

Pipeline installation effects on soils and plants: A review and quantitative synthesis

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