scholarly journals Comparison of soil sampling techniques for alkaline hydrolyzable‐nitrogen on clay soils

age ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Jarom T. Davidson ◽  
Trenton L. Roberts ◽  
Jarrod T. Hardke ◽  
Nathan A. Slaton ◽  
Anthony M. Fulford
1993 ◽  
Vol 33 (8) ◽  
pp. 983 ◽  
Author(s):  
AJ Brown

A review of soil sampling for chemical analysis is presented for farm paddocks, orchard blocks and experimental plots with relevance to Australian and New Zealand conditions. Basic principles concerning field variability and its determination, sampling equipment, sample handling and sampling techniques are given. Detailed examination of both published and unpublished data on spatial and temporal variation in cultivated and uncultivated soils is also provided. Deficiencies and conflicts in the database are highlighted and provide a basis for future work.


2004 ◽  
Vol 5 (4) ◽  
pp. 345-358 ◽  
Author(s):  
A. N. Thompson ◽  
J. N. Shaw ◽  
P. L. Mask ◽  
J. T. Touchton ◽  
D. Rickman

1993 ◽  
Vol 73 (3) ◽  
pp. 317-328 ◽  
Author(s):  
Ivan J. Fernandez ◽  
Lindsey E. Rustad ◽  
Gregory B. Lawrence

The concentration, contents, and distribution of nutrients, metals, and soil materials were quantified at the Howland Integrated Forest Study (HIFS) site in eastern Maine. The site is a mature, low-elevation spruce-fir forest on Podzolic soils developed from dense basal till. Standard morphologically based soil sampling and quantitative soil pits were both used to characterize the soil component of this ecosystem. Vertical trends in nutrient concentrations at the site were largely governed by the distribution of organic matter. Standard morphological soil sampling techniques tended to overestimate soil pools of labile cationic nutrients and C, and underestimate trace metals and P, as a result of underestimations of coarse fragment content. These discrepancies can be critical if extrapolations for nutrients, metals, and C are made using existing databases to regional or global scales.Key words: Forest soils, spruce-fir, quantitative pits, sample size


2021 ◽  
Vol 147 (3) ◽  
pp. 04020165
Author(s):  
Amin Ariannezhad ◽  
Abolfazl Karimpour ◽  
Xiao Qin ◽  
Yao-Jan Wu ◽  
Yasamin Salmani

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