Soil physical quality varies among contrasting land uses in Northern Prairie regions

Hebb, Christina; Schoderbek, Donald; Hernandez‐Ramirez, Guillermo; Hewins, Daniel B.; Carlyle, Cameron N.; Bork, Edward W.

doi:10.1016/j.agee.2017.02.008

Cited by 65 publications

(24 citation statements)

References 42 publications

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“…In this equation, M(v) is the mass of aggregates (g) with volume v (cm 3 ), K m is a constant representing the mass of aggregate unit volume, and D m is the fractal dimension (Hebb et al 2017;Kiani et al 2017). Larger aggregates have a lower mass to volume ratio as explained by the porosity exclusion principle (Hirmas et al 2013); denser microaggregates are bonded to form macroaggregates with greater porosity.…”

Section: Soil Fractal Aggregationmentioning

confidence: 99%

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Soil organic matter dynamics in long-term temperate agroecosystems: rotation and nutrient addition effects

Hernandez‐Ramirez

Kiani

et al. 2018

Can. J. Soil. Sci.

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Soil organic matter (SOM) is a major driver of key agroecosystem functions. Our objective was to examine the dynamics of organic matter in whole soil, particulate (POM; >53 μm size), and mineral-associated (MAOM) fractions under varying crop rotations and nutrient managements at two long-term experimental sites (Breton and Lethbridge). Soil samples were collected from simple (2 yr) and complex (5 or 6 yr) crop rotations at the 5-10 cm depth. We found associations between SOM pools versus microbial community and soil aggregation. Compared to cropped soils, an adjacent forest exhibited a significantly higher soil total organic carbon (TOC) and a shift in SOM fractions with substantially higher POM. However, the forest soil had the lowest microbial biomass C among all the assessed land use systems (P < 0.05), suggesting that other factors than the amount of labile SOM (i.e., POM-C) were controlling the microbial community. When contrasted to simple 2 yr rotations, the complex rotations including perennials and legumes significantly raised TOC and soil total nitrogen as well as the stable SOM fraction (i.e., MAOM-C and -N) consistently for both Breton and Lethbridge sites. Our findings highlight that varying land managements have profound feedbacks on soil quality as mediated by alterations in long-term SOM dynamics.Résumé : La matière organique (MO) joue un rôle important dans le fonctionnement des écosystèmes agricoles. Les auteurs voulaient approfondir la dynamique de la MO dans le sol entier, dans les particules de matière organique (PMO; granulométrie > 53 μm) et dans les minéraux associés à la matière organique (MAMO) en fonction du régime d'assolement et de gestion des éléments nutritifs à deux sites expérimentaux à long terme (Breton et Lethbridge). Pour cela, ils ont échantillonné le sol des assolements simples (2 ans) et complexes (5 ou 6 ans) à une profondeur de 5 à 10 cm. Le réservoir de MO présente des liens avec la microflore tellurique et les agrégats. Comparativement aux sols cultivés, le sol d'une forêt contigüe s'est avéré sensiblement plus riche en carbone organique total (COT), et la MO comprenait sensiblement plus de particules. Cependant, le sol forestier présentait la plus faible biomasse microbienne parmi les sols examinés (P < 0,05), signe que d'autres facteurs que la concentration de MO labile (à savoir, le C-PMO) régissent la microflore. Comparativement aux assolements simples de deux ans, les assolements complexes incluant des vivaces et des légumineuses accroissent sensiblement le COT et l'azote total du sol, de même que la fraction de MO stable (à savoir, C-MAMO et N-MAMO), tant aux sites de Breton qu'à ceux de Lethbridge. Ces constatations soulignent que les différents régimes de gestion du sol ont des répercussions appréciables sur la qualité du sol, consécutivement à une modification de la dynamique à long terme de la MO. [Traduit par la Rédaction] Mots-clés : écosystème agricole, biomasse microbienne, matière organique du sol, agrégation, qualité du sol.

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Section: Soil Fractal Aggregationmentioning

confidence: 99%

“…Repeated laser scanning (n = 20) was used to assure the precision of the volume measurement. Details about measuring fractal dimension were described by Hebb et al (2017).…”

Section: Soil Fractal Aggregationmentioning

confidence: 99%

Soil organic matter dynamics in long-term temperate agroecosystems: rotation and nutrient addition effects

Hernandez‐Ramirez

Kiani

et al. 2018

Can. J. Soil. Sci.

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“…Because of dry climate and soil excessive exploitation, soil physical condition of lands in southern part of Iran such as studied area is unfavorable. Hebb et al [48] also reported that intensive cropping system leads to the physical disruption, decreasing water content, and distortion of soil structure, thereby reducing macro-porosity and increasing bulk density. Frequently use of conventional tillage destroyed soil structure in the studied area.…”

Section: Resultsmentioning

confidence: 99%

Relationship between Spatial Variability Pattern of Wheat Yield and Soil Properties

Karami

Afzalinia

2018

ASRJ

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Aims: Determining effects of spatial variation of some soil properties on wheat quantity and quality variation in order that proper soil and inputs management can be applied for sustainable wheat production. Study Design: Analyzing data of a field with center pivot irrigation system and uniform management using the geostatistical method. Place and Duration Methodology: Wheat yield data harvested by class lexion 510 combine from 25 m 2 plots (11340 locations) with the corresponding geographical location were used. Besides, soil properties and wheat yield were measured at 36 randomly selected points on the field. Interpolation of parameters was predicted with the best semi-variogram model using kriging, inverse distance weighted (IDW), and cokriging methods. Results:Results showed that wheat yield varied from 2 to 10.08 tons per hectare. Cokriging with cofactor of kernel weight interpolator had more accuracy compared to the combine default interpolator (kriging). A logical, linear correlation was found between different parameters. The best variogram model for pH, OC, and ρb was exponential, for EC, TNV, SP, soil silt and clay percentage was spherical, and for soil, percentage sand was Gaussian model. Data of soil sand, silt, and clay percentage, EC, TNV, and SP had strong spatial structure, and soil pH, OC, and ρb had moderate spatial structure. The best interpolation method for soil pH, EC, sand and silt percentage was kriging method; while, for TNV, SP, OC, ρb, and clay percentage was IDW. Conclusion: There was a close relationship between wheat yield variation and changes in the soil properties. Soil properties and wheat yield distribution maps provided valuable information which could be used for wheat yield improvement in precision agriculture.

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“…In this regard, the studied area used a short-term grazing rotation system and a good management of the pasture that minimized the negative impacts. Hebb et al (2017), evaluated native grasslands, introduced pastures and annual crops, where they found that introduced pastures increased medium-sized pores from 9% to 12% in contrast to farmland, improved the availability and content of volumetric water.…”

Section: Discussionmentioning

confidence: 99%

Effects of land use change and seasonal variation in the hydrophysical properties in Vertisols in northeastern Mexico

Yáñez-Díaz

Silva

González‐Rodríguez

et al. 2019

Soil Use and Management

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The impact of the use of natural resources associated with anthropogenic activities has increased evidently, mainly through land use changes which have altered hydrophysical properties of soils. We hypothesized that, in the same soil type (Vertisol), four types of land use system (grassland, agricultural, Eucalyptus plantation and thornscrub) and seasonal variation can modify the soil hydrophysical properties. Results showed significant differences between land use systems and seasons for hydraulic conductivity (K), infiltration capacity (fp) and cumulative infiltration (fc). There were no seasonal differences in soil penetration resistance (SPR), bulk density (ρd) and total porosity (φP). Grassland presented higher values for ρd (1.2 g cm−3) and SPR (5.3 kg cm−2) and lower for K (0.8 × 10−5 cm s−1) and φP (53%), unlike thornscrub. Agriculture presented lower SPR (0.4 kg cm−2), while plantation showed similar values when compared to the thornscrub. Kostiakov infiltration model was fitted to land use infiltration curves, showing differences between land use and season. The values for fp oscillated between 53.6 and 548.8 mm hr−1 and fc ranged from 105.3 to 1,061 mm. The order of the infiltration values goes as follows: agriculture > plantation > thornscrub > grassland. Land use changes in Vertisols induced modification of soil physical properties affecting processes like permeability, soil compaction and water availability.

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Soil physical quality varies among contrasting land uses in Northern Prairie regions

Cited by 65 publications

References 42 publications

Soil organic matter dynamics in long-term temperate agroecosystems: rotation and nutrient addition effects

Soil organic matter dynamics in long-term temperate agroecosystems: rotation and nutrient addition effects

Relationship between Spatial Variability Pattern of Wheat Yield and Soil Properties

Effects of land use change and seasonal variation in the hydrophysical properties in Vertisols in northeastern Mexico

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