678-3 Grouping Soil Fertility Indicators using Within-Field Spatial Variability Parameters and Multivariate Analysis.

Poster Number 539

See more from this Division: S05 Pedology
See more from this Session: Soil Genesis and Interpretations (Posters)

Tuesday, 7 October 2008
George R. Brown Convention Center, Exhibit Hall E

Michel C. Nolin1, Mathieu Quenum2, Daniel Cluis3, Monique Bernier3 and Adrien N'Dayegamiye4, (1)Pedology and Precision Agriculture Laboratories, Agriculture & Agri-Food Canada, Québec, QC, Canada
(2)Pedology and Precision Agriculture Laboratories, Agriculture and Agri-Food Canada, Québec, QC, Canada
(3)Centre Eau, Terre & Environnement (INRS-ETE), Institut national de la recherche scientifique, Quebec, QC, Canada
(4)Institut de recherche et de développement en agroenvironnement (IRDA), Quebec, QC, Canada
Abstract:

Getting knowledge of the within-field spatial variability of soil fertility indicators is crucial before implementing precision conservation. A study was conducted on two contiguous fields (8.7 ha) of the Bras d’Henri watershed, near Quebec City (Canada). The objective of this study was: 1) to describe the within-field spatial variability of selected soil fertility indicators, and 2) to group these soil properties according to their spatial variability.

A very detailed soil survey was conducted in these fields. The soil surface layer (0-20 cm) of 91 soil profiles was sampled using an unaligned grid (30-m x 30-m). Soil analyses include OM, soil humus fractions, i.e. humic (HA) and fulvic acid (FA), texture, Mehlich-3 extractable P (M3P), free forms of Fe and Al, P sorption capacity (PSC) and degree of P saturation (DPS). Parameters used for characterizing the spatial variability of these soil properties are the coefficient of variation, the range (A0), the ratio of structural variance over sill (C/C0+C), the cross-validation regression coefficient (R2cv), and the standard error of prediction expressed as a percentage of the soil property mean. The Ward’s clustering method and the Euclidean distance were used for grouping soil properties showing similar spatial variability.

The spatial distribution of HA, FA, Fe, Al and PSC was highly related to soil map and taxonomy. Three groups of soil properties have been identified in these fields according to their spatial variability: 1) M3P and DPS with A0=100-200m (small spatial structure) and R2cv=0.15-0.30 (weak prediction reliability), 2) humus fractions and soil texture with A0=100-200m and R2cv=0.30-0.60 (moderate reliability), and 3) PSC and free forms of Fe and Al with A0>300m (moderate structure) and R2cv=0.30-0.60. Soil properties related to soil nature and genesis are more reliably interpolated than those highly influenced by soil management and therefore should be included in precision conservation prescription.

See more from this Division: S05 Pedology
See more from this Session: Soil Genesis and Interpretations (Posters)