Abstract
BackgroundThe soil P leaching change point (CP) has been widely used to evaluate soil P leaching risk. However, an automation calculation method for soil P leaching CP value, and an effective risk grading method performed for classifying soil P leaching risk evaluation have not been developed.ResultsThis study optimized the calculation process for soil P leaching CP value with two different fitting models. Subsequently, based on the Python programming language, a computation tool named Soil Phosphorus Leaching Risk Calculator (SPOLERC) was developed for soil P leaching risk assessment. SPOLERC not only embedded the calculation process of the soil P leaching CP value, but also introduced the single factor index (SFI) method to grade the soil P leaching risk level. The relationships between the soil Olsen-P and leachable P were fitted by using SPOLERC in paddy soils and arid agricultural soils in the Xingkai Lake Basin, and the results showed that there was a good linear fitting relationship between the soil Olsen-P and leachable P; and the CP values were 59.63 and 35.35 mg Olsen-P kg−1 for paddy soils and arid agricultural soils, respectively. Additionally, 32.7, 21.8, and 3.64% of arid agricultural soil samples were at low risk, medium risk, and high risk of P leaching, and 40.6% of paddy soil samples were at low risk.ConclusionsSPOLERC can accurately fit the split-line model relationship between the soil Olsen-P and leachable P, and greatly improved the calculation efficiency for the soil P leaching CP value. Additionally, the obtained CP value can be used for soil P leaching risk assessment, which could help recognize key area of soil P leaching.
Highlights
The soil P leaching change point (CP) has been widely used to evaluate soil P leaching risk
It is worth mentioning that the results evaluated by Soil Phosphorus Leaching Risk Calculator (SPOLERC) software were combined with the ArcGIS 10.2 for the analysis of soil P leaching risk spatial distribution
Change point for P leaching in agricultural soils The scatter distribution figures between the soil OlsenP and leachable P in arid agricultural soils and paddy soils were presented by the SPOLERC tool, respectively, and the results are shown in Additional file 1: Fig. S3
Summary
The soil P leaching change point (CP) has been widely used to evaluate soil P leaching risk. An automation calculation method for soil P leaching CP value, and an effective risk grading method performed for classifying soil P leaching risk evaluation have not been developed. On the other hand, when P enters water bodies and. The soil P leaching change point (CP) is estimated by using the split-line model to fit the relationship between the soil-leachable P and soil Olsen-P, and is often used to evaluate the P leaching risk in topsoil [3, 5, 20]. The research on soil P leaching risk evaluation has been continuously performed, the calculation process of the soil P leaching CP value has not been clearly described in the previous literature
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