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Application of a visual soil examination and evaluation technique at site and farm level
Author(s) -
Sonneveld M. P. W.,
Heuvelink G. B. M.,
Moolenaar S.W.
Publication year - 2014
Publication title -
soil use and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.709
H-Index - 81
eISSN - 1475-2743
pISSN - 0266-0032
DOI - 10.1111/sum.12117
Subject(s) - environmental science , soil water , soil quality , soil test , organic matter , soil organic matter , sampling (signal processing) , soil science , soil series , bulk density , stratified sampling , hydrology (agriculture) , soil classification , mathematics , statistics , geology , engineering , geotechnical engineering , ecology , filter (signal processing) , electrical engineering , biology
Visual soil examination and evaluation ( VSEE ) techniques are semi‐quantitative methods that provide rapid and cost‐effective information on soil quality. These are mostly applied at site or field level, but there is an increased need for soil quality indicators at farm level to allow integration with other sustainability indicators. The objectives of this study were to develop and apply a protocol for application of a VSEE technique at site level, to assess the VSEE observations against standardized laboratory analyses and to aggregate VSEE observations to farm level using an appropriate sampling design. The study was conducted at ten dairy farms in a reclaimed polder in the Netherlands with clay and organic soils. A stratified random sampling design was used to account for spatial variability in land use and soil series. VSEE was carried out using the Visual Soil Assessment approach. Results show that 81% of sites were assessed as good and the remainder as moderate to poor. For the clay soils, field observations of soil structure were significantly correlated with pH , bulk density, soil organic matter ( SOM ) and mean weight diameter of aggregates, whereas for organic soils, soil structure significantly correlated with pH , bulk density, organic C and SOM . The range in overall scores calculated at farm level was smaller than at site level, and most farms were assessed as good.