期刊
GEODERMA
卷 383, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.geoderma.2020.114708
关键词
Degree of phosphorus saturation; Phosphorus sorption capacity; Ammonium lactate extraction; Ammonium oxalate extraction; Sorption isotherms; PSI
类别
资金
- Swedish farmers' foundation for agricultural research
- Stiftelsen Svensk Vaxtnaringsforskning
- LIFE Programme of the European Union [LIFE15 IPE SE 015]
This study compared four different indices for soil phosphorus saturation (DPS) in predicting the release of dissolved P into soil solution. The PSI index combined with either P-AL or P-O1s provided the best predictions for both P-caCl2 and P-w. Adding additional explanatory variables did not significantly improve the regression models. Multiple measures of P saturation provide similar predictions of soil's potential for releasing dissolved P, offering flexibility in identifying leaching prone hotspots.
In response to concerns over the translocation of P from soils to P-sensitive water bodies, there is high demand for developing simple indicators for evaluating a soil's risk of releasing P into solution. Many studies have shown that the degree of soil phosphorus saturation (DPS), calculated as the ratio of soil P concentration to soil P sorption capacity (PSC), is good predictor of a soil's risk of releasing Pin solution. In this study we compared four different DPS indices in how well they predicted dissolved P following extraction with either a 0.01 M caCl2 (P-caCl2) solution or deionized water (P-w). The first two indices were calculated from the ratio of extractable P to extractable Al and Fe using either acid ammonium oxalate (Al-OX + Fe-OX) or ammonium lactate solutions (Al-AL + Fe-AL). The second two DPS indices were calculated from the ratio of either Olsen-extractable P or AL-extractable P with sorption capacity estimated from the single point P sorption index (PSI). On a subset of 11 soils, we compared the different methods for estimating PSC with fitted Langmuir sorption maximum (Smax) using data from complete sorption isotherms. Both (Al-OX + Fe-OX) and PSI were well correlated with Smax and hence regarded as good estimates for P sorption capacity. Conversely, (Al-AL + Fe-AL) was not significantly correlated with Smax. P saturation calculated from PSI together with P-AL or P-O1s predicted P-caCl2 and P-w, best, whereas P saturation calculated from ammonium oxalate predicted P-caCl2 and P-w the least. We did not find notable improvements in the regression models when we added a second explanatory variable (clay content, pH or total carbon) to the models. Our results show that multiple measures of P saturation provide similar predictions of a soils potential for releasing dissolved P into soil solution. This provides flexibility in how P saturation indices are calculated to identify leaching prone hotspots.
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