Dynamics of soil phosphorus measured by ammonium lactate extraction as a function of the soil phosphorus balance and soil properties

Geoderma ◽  
2021 ◽  
Vol 385 ◽  
pp. 114855
Author(s):  
Fien Amery ◽  
Bart Vandecasteele ◽  
Tommy D'Hose ◽  
Sophie Nawara ◽  
Annemie Elsen ◽  
...  
Keyword(s):  
Soil Properties ◽  
Soil Phosphorus ◽  
Phosphorus Balance ◽  
Ammonium Lactate

scholarly journals Relationship between the 0.01 M CaCl2- and AL-soluble soil phosphorus contents

2018 ◽  
Vol 67 (1) ◽  
pp. 23-33
Author(s):  
Emese Szabó ◽  
László Huzsvai ◽  
Rita Kremper ◽  
Jakab Loch
Keyword(s):  
Regression Analysis ◽  
Soil Properties ◽  
Soil Phosphorus ◽  
Linear Regression Analysis ◽  
Extraction Methods ◽  
Soil Parameters ◽  
Regression Equations ◽  
Weak Correlation ◽  
Ammonium Lactate ◽  
Wide Range

The traditional Hungarian method for determining soil phosphorus (P) status is ammonium-lactate acetic acid (AL) extraction. AL is an acidic solution (buffered at pH 3.75), which is also able to dissolve P reserves, so there is a need for extraction methods that also characterize the mobile P pool. 0.01 M CaCl2-P is considered to directly describe available P forms, because the dilute salt solution has more or less the same ionic strength as the average salt concentration in many soil solutions. The amount of AL-P may be two orders of magnitude greater than that of CaCl2-P. Previous studies suggested that the relationship between AL-P and CaCl2-P was influenced by soil parameters. Regression analysis between AL-P and CaCl2-P showed medium or strong correlations when using soils with homogeneous soil properties, while there was a weak correlation between them for soils with heterogeneous properties. The objective of this study was to increase the accuracy of the conversion between AL-P and CaCl2-P, by constructing universal equations that also take soil properties into consideration. The AL-P and CaCl2-P contents were measured in arable soils (n=622) originating from the Hungarian Soil Information and Monitoring System (SIMS). These soils covered a wide range of soil properties. A weak correlation was found between AL-P and CaCl2-P in SIMS soils. The amounts and ratio of AL-P and CaCl2-P depended on soil properties such as CaCO3 content and texture. The ratio of AL-P to CaCl2-P changed from 37 in noncalcareous soils to 141 on highly calcareous soils. CaCl2-P decreased as a function of KA (plasticity index according to Arany), which is related to the clay content, while the highest AL-P content was found on loam soils, probably due to the fact that a high proportion of them were calcareous. The relationships between AL-P, CaCl2-P and soil properties in the SIMS dataset were evaluated using multiple linear regression analysis. In order to select the best model the Akaike Information Criterion (AIC) was used to compare different models. The soil factors included in the models were pHKCl, humus and CaCO3 content to describe AL-P, and KA, CaCO3 content and pHKCl to describe CaCl2-P. AL-P was directly proportional to pHKCl, humus and CaCO3 content, while CaCl2-P was inversely proportional to KA, CaCO3 content and pHKCl. The explanatory power of the models increased when soil properties were included. The percentage of the explained variance in the AL-P and CaCl2-P regression models was 56 and 51%, so the accuracy of the conversion between the two extraction methods was still not satisfactory and it does not seem to be possible to prepare a universally applicable equation. Further research is needed to obtain different regression equations for soils with different soil properties, and CaCl2-P should also be calibrated in long-term P fertilization trials.

Effect of land use on some soil properties related to the risk of loss of soil phosphorus

2008 ◽  
Vol 19 (1) ◽  
pp. 21-35 ◽  
Author(s):  
F. Troitiño ◽  
F. Gil-Sotres ◽  
M.C. Leirós ◽  
C. Trasar-Cepeda ◽  
S. Seoane
Keyword(s):  
Land Use ◽  
Soil Properties ◽  
Soil Phosphorus

Temporal patterns of soil phosphorus release to runoff during a rainfall event as influenced by soil properties and its effects on estimating soil P losses

2011 ◽  
Vol 91 (3) ◽  
pp. 339-347 ◽  
Author(s):  
Y. T. Wang ◽  
T. Q. Zhang ◽  
Q. C. Hu ◽  
I. P. O'Halloran ◽  
C. S. Tan ◽  
...  
Keyword(s):  
Soil Properties ◽  
Surface Runoff ◽  
Temporal Pattern ◽  
Soil Phosphorus ◽  
Temporal Patterns ◽  
Phosphorus Release ◽  
Rainfall Event ◽  
Soil P ◽  
Soil Runoff ◽  
Wide Range

Wang, Y. T., Zhang, T. Q., Hu, Q. C., O'Halloran, I. P., Tan, C. S. and Reid, K. 2011. Temporal patterns of soil phosphorus release to runoff during a rainfall event as influenced by soil properties and its effects on estimating soil P losses. Can. J. Soil Sci. 91: 339–347. The phosphorus (P) released in soil runoff during a rainfall event varies as labile P is depleted, and the dynamic pattern can be a function of soil P content and other soil properties. This study was conducted to determine the temporal pattern of runoff dissolved reactive P (DRP) concentration during a simulated rainfall event and the controlling soil properties. Soil samples were collected from six soil types across the province of Ontario, with 10 sites for each, to provide a wide range of soil test P (STP) levels. The instantaneous DRP concentration in surface runoff created during the rainfall event could be predicted by time t (min, since the onset of surface runoff) through a power function: DRP=αt−β, where α and β are constants representing initial potential of soil P release to runoff as DRP at the onset of surface runoff and DRP decrease rate with time, respectively. The values of α and β for a given soil could be determined by DPSM3-2 (Mehlich-3 P/Mehlich-3 Al) using the following formulas:[Formula: see text] The description of the temporal pattern of runoff DRP concentration during a rainfall event with the constants estimated using DPSM3−2 can aid in the prediction of soil runoff DRP loss.

scholarly journals Relationship Between Sugarcane Rust Severity and Soil Properties In Louisiana

2007 ◽  
Vol 97 (6) ◽  
pp. 748-755 ◽  
Author(s):  
Richard M. Johnson ◽  
Michael P. Grisham ◽  
Edward P. Richard
Keyword(s):  
Soil Properties ◽  
Soil Phosphorus ◽  
Linear Regression Analysis ◽  
Predictive Ability ◽  
Multiple Linear Regression Analysis ◽  
Spatial And Temporal Variability ◽  
Spatially Correlated ◽  
Contour Plots ◽  
Two Parameters ◽  
Soil Sulfur

The extent of spatial and temporal variability of sugarcane rust (Puccinia melanocephala) infestation was related to variation in soil properties in five commercial fields of sugarcane (interspecific hybrids of Saccharum spp., cv. LCP 85–384) in southern Louisiana. Sugarcane fields were grid-soil sampled at several intensities and rust ratings were collected at each point over 6 to 7 weeks. Soil properties exhibited significant variability (coefficients of variation = 9 to 70.1%) and were spatially correlated in 39 of 40 cases with a range of spatial correlation varying from 39 to 201 m. Rust ratings were spatially correlated in 32 of 33 cases, with a range varying from 29 to 241 m. Rust ratings were correlated with several soil properties, most notably soil phosphorus (r = 0.40 to 0.81) and soil sulfur (r = 0.36 to 0.68). Multiple linear regression analysis resulted in coefficients of determination that ranged from 0.22 to 0.73, and discriminant analysis further improved the overall predictive ability of rust models. Finally, contour plots of soil properties and rust levels clearly suggested a link between these two parameters. These combined data suggest that sugarcane growers that apply fertilizer in excess of plant requirements will increase the incidence and severity of rust infestations in their fields.

scholarly journals A multi-regional soil phosphorus balance for exploring secondary fertilizer potential: the case of Norway

2015 ◽  
Vol 104 (3) ◽  
pp. 307-320 ◽  
Author(s):  
Ola Stedje Hanserud ◽  
Eva Brod ◽  
Anne Falk Øgaard ◽  
Daniel B. Müller ◽  
Helge Brattebø
Keyword(s):  
Soil Phosphorus ◽  
Phosphorus Balance

scholarly journals Agricultural Soil Phosphorus in Hungary: High Resolution Mapping and Assessment of Socioeconomic and Pedological Factors of Spatiotemporal Variability

2020 ◽  
Vol 12 (13) ◽  
pp. 5311
Author(s):  
Piroska Kassai ◽  
Gergely Tóth
Keyword(s):  
Soil Properties ◽  
Crop Production ◽  
Agricultural Soils ◽  
Soil Phosphorus ◽  
Spatiotemporal Variability ◽  
Phosphorus Fertilization ◽  
Phosphorus Level ◽  
Soluble Phosphorus ◽  
Agricultural Areas ◽  
Phosphorus Levels

Over-fertilization before 1989 resulted in high phosphorus levels in agricultural soils of Hungary, but the accumulated reserves seem to have been depleted in recent decades due to under-fertilization. The aims of this study were to map the spatial pattern of phosphorus level and its change in the last few decades in Hungary to document the effect of fertilization and underlying socio-economic conditions on P concentrations, to identify the role of soil properties in changing soil soluble P and to quantify the total amount of soluble phosphorus level change in agricultural areas in the last few decades in the country. Two soil datasets were analyzed (National Pedological and Crop Production Database of Hungary and the Land Use/Land Cover Area Frame Survey, LUCAS, topsoil dataset), representing the status of soil nutrient contents in 1989 and in 2009. The measured phosphorus concentrations were compared to the reported phosphorus fertilization inputs. We also evaluated the effect of some important soil properties on soluble phosphorus content and on its change. We produced three maps by using kriging methods: soluble phosphorus levels in 1989, in 2009 and the change between 1989 and 2009. The results confirmed that phosphorus levels in agricultural areas depend mainly on agricultural use, while soil physical characteristics play a smaller role. Nevertheless, we demonstrated that the decrease in soil phosphorus levels was significantly influenced by soil chemistry (pH and CaCO3 content). The mean soluble phosphorus level was 108 mg/kg in 1989 and 28 mg/kg in 2009, and the median values were 100 and 22. The total loss (caused by harvesting, fixation and erosion) is ~1.5 million tons of soluble phosphorus, which is twice as much as the reported phosphorus balances indicated. In conclusion, our results show that approximately 50% of agricultural areas in Hungary are characterized by a very low supply of phosphorus (according to the latest data), posing a risk of nutrient depletion in these areas.

scholarly journals Variations in Soil Properties Rather than Functional Gene Abundances Dominate Soil Phosphorus Dynamics under Short-Term Nitrogen Input

2021 ◽  
Author(s):  
Bing Han ◽  
Jingjing Li ◽  
Kesi Liu ◽  
Hui Zhang ◽  
Xiaoting Wei ◽  
...  
Keyword(s):  
Microbial Biomass ◽  
Soil Properties ◽  
Soil Ph ◽  
Soil Phosphorus ◽  
Functional Genes ◽  
Short Term ◽  
Soil P ◽  
Soil Microbial ◽  
N Input ◽  
Microbial Biomass P

Abstract Background and aims Microorganisms play a vital role in regulating soil phosphorus (P) dynamics in terrestrial ecosystems. However, how nitrogen (N) inputs trigger the functional traits of P transformation-related microorganisms to affect P fates in soil needs to be explored further. Our aims were to reveal the soil microbial functional profiles for P turnover in response to N input and to explore the relationships between soil P dynamics, soil properties and functional genes.Methods We collected soil samples from field experiments with three levels of N input over three years in an alpine meadow of the Qinghai-Tibet Plateau to determine soil P dynamics and other properties and functional genes via metagenomics.Results The soil available P and microbial biomass P were significantly affected by N inputs and significantly associated with soil properties (including soil pH, alkaline phosphatase activity, and soil total N and NO3--N contents). Meanwhile, high N input decreased the relative abundance of the pstS gene, and low N input reduced the relative abundances of ugpQ and C-P lyase genes. The pstS gene was a determinant of soil microbial biomass P and significantly correlated with soil pH. Moreover, Alphaproteobacteria with C-P lyase and Actinobacteria related to alkaline phosphatases and phosphate-specific transport were the most abundant taxa but not affected by N input.Conclusions We found relationships between the pstS gene, microbial biomass P and soil pH, and the microbial functional gene abundance was less important than soil properties in regulating soil P dynamics under short-term N inputs.

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