Nondestructive assessment of rangeland soil depth to petrocalcic horizon using electromagnetic induction

Boettinger, Janis L.; Doolittle, James; West, Neil E.; Bork, Edward W.; Schupp, Eugene W.

doi:10.1080/15324989709381490

Cited by 28 publications

(11 citation statements)

References 25 publications

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“…Khakural et al (1998) found that A-horizon thickness was best estimated by measurements of EM H . Boettinger et al (1997), who used measurements of EC a to estimate soil depth to a cemented (petrocalcic) subsoil horizon, also concluded that measurements made with horizontal dipole orientation of the EM38 (EM H ) was the best mode. In the present research, there was no indication of better correlation between subsoil properties and EM V (Table 2), in spite of the larger relative weighting of the EM V signal from the subsoil compared to that of EM H .…”

Section: Differences Between Em H and Em Vmentioning

confidence: 97%

Soil Apparent Electrical Conductivity (ECa) as a Means of Monitoring Changesin Soil Inorganic N on Heterogeneous Morainic Soils in SE Norway During Two Growing Seasons

Korsæth

2005

Nutr Cycl Agroecosyst

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An efficient method to monitor changes in soil inorganic N content during crop growth would be a useful means to guide N fertilization to ensure high yields and low N losses to the environment. In this study, soil apparent electrical conductivity (EC a ) measured by the widely used conductivity meter EM38 was tested as an indirect measurement of available N in spring barley during two cropping seasons at two sites with morainic loam in SE Norway. The experiment was constructed to maximize soil variation. In spite of the 'noise' caused by the soil heterogeneity, concentrations of inorganic N (cN inorg ) or NO 3 -N were most strongly correlated with EC a in both years and at both locations (with one exception). The measurements of EC a reflected well the temporal variation in inorganic N content (N inorg ), and a ranking of the treatments based on EC a fitted very well with a ranking based on N inorg at the first three sampling times after fertilizing. The best subset of sensor variables (i.e. variables which can be measured 'on-the-go' by sensor techniques in the field) described 27-69% (average 47%) of the variation in topsoil cN inorg . When expanding the regression models to include pH as well, the degree of explanation increased significantly. In conclusion, the method of using EC a appears to be quite robust in terms of detecting relative differences in cN inorg , whereas a determination of absolute levels of cN inorg with the method is unreliable.

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Section: Differences Between Em H and Em Vmentioning

confidence: 97%

Soil Apparent Electrical Conductivity (ECa) as a Means of Monitoring Changesin Soil Inorganic N on Heterogeneous Morainic Soils in SE Norway During Two Growing Seasons

Korsæth

2005

Nutr Cycl Agroecosyst

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“…In other words, the land upon which the plots occur is very old. This is shown by the continuous accumulation of the petrocalic layer (Boettinger et al 1997) …”

Section: Discussionmentioning

confidence: 99%

Vegetation responses following wildfire on grazed and ungrazed sagebrush semi-desert

West¹,

Yorks²

2002

REM

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A 20-year set of cover data on sagebrush semi-desert plant communities responding to wildfire and livestock grazing near Mills in central Utah provided an opportunity to compare the assumptions and adaptability of classical and state-and-transition models for describing secondary succession. Cover data were organized and analyzed by plant species, growth forms, and other ground cover classes. Graphical analysis, ordination (employing semi-strong hybrid multi-dimensional scaling), regression, and analysis-of-variance were used to determine whether the patterns observed were best described as community change (tightly linked species) or individualistic change (each species acting independently). Distinct differences in total plant cover, growth form, and species composition were found between burned (both grazed and ungrazed) and the unburned and grazed treatments. Conventional graphical and statistical analyses of burned and ungrazed plots showed greater and earlier expansion of perennial grasses and then relatively less coverweighted compositional change in recent years compared to the other treatments. Vegetation on none of the treatments appears to have stabilized toward either the pre-burn sagebrush semidesert, a new state or the potential natural community for the site involved. Pathways of change reflected in the ordinations have been complex in all treatments. The only obvious trends in responses of individual species were to fire and the inverse relationship of cheatgrass to total perennial vegetational cover. All this evidence points to few tight linkages between species or growth form groups and thus favors viewing these patterns individualistically. While the state-and-transition model allows greater flexibility than the classical model in the depiction of plant community/individual species changes consequent to any management action, it doesn't apply readily everywhere, as exemplified by this case study.

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“…In several field-scale and landscape-scale special soil research projects, EMI has been used to map small areas and assess the depths to argillic horizons, claypans, fragipans, hardpans, and petrocalcic horizons (Boettinger et al, 1997;Chen et al, 2000;Doolittle et al, 1994;Mueller et al, 2003;Saey et al, 2012a;Stroh et al, 1993;Sudduth and Kitchen, 1993;Sudduth et al, 1995Sudduth et al, , 2009, reconstruct buried landscapes (De Smedt et al, 2013a, 2013bSaey et al, 2008Saey et al, , 2013 and periglacial features (Meerschman et al, 2011a, Saey et al, 2012a; estimate depths to bedrock (Bork et al, 1998;Doolittle et al, 1998Doolittle et al, , 2002bPalacky and Stephens, 1990;Zalasiewicz et al, 1985), and assess differences in soil drainage (Kravchenko et al, 2002).…”

Section: Refine and Improve The Quality Of Soil Mapsmentioning

confidence: 99%

The use of electromagnetic induction techniques in soils studies

Doolittle¹,

2014

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Nondestructive assessment of rangeland soil depth to petrocalcic horizon using electromagnetic induction

Cited by 28 publications

References 25 publications

Soil Apparent Electrical Conductivity (ECa) as a Means of Monitoring Changesin Soil Inorganic N on Heterogeneous Morainic Soils in SE Norway During Two Growing Seasons

Soil Apparent Electrical Conductivity (ECa) as a Means of Monitoring Changesin Soil Inorganic N on Heterogeneous Morainic Soils in SE Norway During Two Growing Seasons

Vegetation responses following wildfire on grazed and ungrazed sagebrush semi-desert

The use of electromagnetic induction techniques in soils studies

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