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Assessing alternative approaches to predicting soil phosphorus sorption

Citation

Burkitt, LL and Gourley, CJP and Hannah, MC and Sale, PWG, Assessing alternative approaches to predicting soil phosphorus sorption, Soil Use and Management, 22, (4) pp. 325-333. ISSN 0266-0032 (2006) [Refereed Article]

DOI: doi:10.1111/j.1475-2743.2006.00042.x

Abstract

Twenty-five pasture soils were sampled from high-rainfall zones of southeastern Australia to examine relationships between soil properties, and between soil properties and P buffering capacity (PBC) measures. Correlations between PBC values and soil properties were generally poor, with the exception of oxalate-extractable Al (Alox) (r ≥ 0.97). Predictions of PBC were further improved when clay, as well as Alox, was included in a linear regression model (r2 ≥ 0.98). When Alox and oxalate-extractable Fe were excluded from the modelling exercise, a more complex three-term linear regression model, including pHH2O, exchangeable H and cation exchange capacity, adequately fitted both PBC values of the 25 soils examined in this study (r2 ≥ 0.76). However, the Alox, Alox plus clay and the three-term models gave poor predictions of the PBC values when the models were validated using 28 independent soils. These results emphasize the importance of model validation, because predictive models based on soil properties were not robust when tested across a broader range of soil types. In comparison, direct measures of PBC, such as single-point P sorption measures, are more practical and robust methods of estimating PBC for Australian soils. © 2006 The Authors.

Item Details

Item Type:Refereed Article
Research Division:Environmental Sciences
Research Group:Soil Sciences
Research Field:Soil Chemistry (excl. Carbon Sequestration Science)
Objective Division:Animal Production and Animal Primary Products
Objective Group:Environmentally Sustainable Animal Production
Objective Field:Environmentally Sustainable Animal Production not elsewhere classified
Author:Burkitt, LL (Dr Lucy Burkitt)
ID Code:36224
Year Published:2006
Web of Science® Times Cited:15
Deposited By:Agricultural Science
Deposited On:2006-08-01
Last Modified:2007-10-17
Downloads:0

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