Die Heterogenität des Nitratgehaltes in den Profilschichten einer Ackerbraunerde zu Beginn des Frühjahrs

Knittel, Hartmut; Fischbeck, G.

doi:10.1002/jpln.19791420505

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Recommended field sampling schemes for a variety of nutrients in forest and agricultural settings have been reported (163,257,377,383). Measurements of soil gases can be accomplished by collecting samples for later gas chromatographic measurements (80) or can be conducted on-site with a portable probe and mass spectrometer (393).…”

Section: Soilsmentioning

confidence: 99%

Sampling for chemical analysis

Kratochvil¹,

Wallace²,

Taylor³

1984

Anal. Chem.

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As analytical methodology improves and instrumental methods allow, or often require, the use of smaller and smaller analytical test portions, the error in the sampling operations becomes increasingly significant. Also, heterogeneity of trace components can introduce major sampling problems. Sampling errors cannot be controlled by use of blanks, standards, or reference samples and so are best treated independently.

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Section: Soilsmentioning

confidence: 99%

Sampling for chemical analysis

Kratochvil¹,

Wallace²,

Taylor³

1984

Anal. Chem.

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Regression analyses of weather effects on the annual concentrations of nitrate in soil and groundwater

Schweigert¹,

Pinter

Ploeg

2004

Z. Pflanzenernähr. Bodenk.

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To control the groundwater pollution by NO3–, different monitoring programs have been carried out during more than a decade in drinking water catchments in Germany. The monitoring programs are based on agricultural and hydrological data. Atmospheric influences and irregularities of sampling complicate the interpretation of NO3– values in the soil and in the groundwater. To take such complications into account, NO3– time series from a drinking water catchment in Lower Saxony were analyzed by multiple regression. A strong correlation between the precipitation during the fall season and the NO3– content of the soil was found. The NO3– content of the soil is also influenced by the October temperature. While the raw data of NO3– content of the soil did not decrease significantly over time, a highly significant yearly decrease of about 3 kg N ha–1 or 50 % from 1992 to 2002 was observed after atmospheric influences were taken into account. The variability due to precipitation was amplified by changing the date at which samples were taken. The NO3– concentration of the groundwater near the surface decreased yearly by about 10 mg l–1 or 55 % from 1993 to 2001. Beside this decrease, influences of the October temperature and the sampling depth on the NO3– concentration of groundwater were identified. It is concluded that a multiple regression analysis is indispensable in interpreting soil and groundwater NO3– time series of restricted length.

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Simplifying residual nitrogen (Nmin) sampling strategies and crop response

Heinemann

Schmidhalter

2021

European Journal of Agronomy

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Die Heterogenität des Nitratgehaltes in den Profilschichten einer Ackerbraunerde zu Beginn des Frühjahrs

Cited by 4 publications

References 6 publications

Sampling for chemical analysis

Sampling for chemical analysis

Regression analyses of weather effects on the annual concentrations of nitrate in soil and groundwater

Simplifying residual nitrogen (Nmin) sampling strategies and crop response

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