Effects of biochar application and irrigation rate on the soil phosphorus leaching risk of fluvisol profiles in open vegetable fields

Xie, Zijian; Yang, Xiaosong; Sun, Xiaolei; Huang, Lijuan; Li, Songyan; Hu, Zhengyi

doi:10.1016/j.scitotenv.2021.147973

Cited by 24 publications

(14 citation statements)

References 40 publications

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“…In the present investigation, the CP value measured in arid agricultural soils was higher than that value in paddy land soils (59.63 mg P kg −1 vs. 35.35 mg P kg −1 ). These values were slightly lower than that those reported for soils in Broadbalk (60 mg P kg −1 ) and much higher than those reported for fluvisol soils in the Chaobaihe Basin (30.4 ~ 44.4 mg P kg −1 ) [4,17,18].…”

Section: Discussioncontrasting

confidence: 67%

“…According to an indoor incubation experiment, Zhao et al [20] demonstrated that biochar application can improve the soil CP value from 48.65 and 71.25 mg Olsen-P kg −1 to 185.07 and 98.66 mg Olsen-P kg −1 , respectively. Xie et al [18] confirmed this result through a field trial (33.52 mg Olsen-P kg −1 vs. 25.86 mg Olsen-P kg −1 ). In the present investigation, the CP value measured in arid agricultural soils was higher than that value in paddy land soils (59.63 mg P kg −1 vs. 35.35 mg P kg −1 ).…”

Section: Discussionmentioning

confidence: 68%

“…However, if there was only one linear relationship between the soil Olsen-P and leachable P, and the linear correlation between soil Olsen-P and soil-leachable P below the CP value did not exist. Then, the CP value was estimated based on the intersection of the X axis and another linear significant relationship between the soil Olsen-P (high-value area) and soil-leachable P (p < 0.05) [18], and the data distribution sample of scatter diagram is shown in Additional file 1: Fig. S2.…”

Section: Data Preview and Soil P Leaching Change Point Calculationmentioning

confidence: 99%

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A tool (SPOLERC) to guide the evaluation of phosphorus leaching for agricultural soil by using the change point value in the Xingkai Lake Basin, China

Xie

Zhang

et al. 2021

Environ Sci Eur

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Background The 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. Results This 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. Conclusions SPOLERC 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.

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Section: Discussioncontrasting

confidence: 67%

Section: Discussionmentioning

confidence: 68%

Section: Data Preview and Soil P Leaching Change Point Calculationmentioning

confidence: 99%

See 1 more Smart Citation

A tool (SPOLERC) to guide the evaluation of phosphorus leaching for agricultural soil by using the change point value in the Xingkai Lake Basin, China

Xie

Zhang

et al. 2021

Environ Sci Eur

Self Cite

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show abstract

“…In the present investigation, the CP value measured in arid agricultural soils was higher than that value in the paddy land soils (59.63 mg P kg − 1 vs. 35.35 mg P kg − 1 ). And these values were slightly lower than that reported for soils in Broadbulk (60 mg P kg − 1 ) and much higher than that reported for uvisol soils in Chaobaihe basin (30.4 ~ 44.4 mg P kg − 1 ) (Hesketh and Brookes, 2000;Xie et al, 2019;Xie et al, 2021). The difference of soil types and land use may be the main reason for this result.…”

Section: Discussioncontrasting

confidence: 60%

“…However, if there was only one linear relationship between soil Olsen-P and leachable P, and the linear correlation between soil Olsen-P and soil leachable P before the CP did not exist. Then, the CP value would estimate based on the intersection of the X axis and another linear signi cant relationship between soil Olsen-P (high-value area) and soil leachable P (p < 0.05) (Xie et al, 2021), and the data distribution sample of scatter diagram is shown in Fig S .2. In this case, the "M2 Change point" function in the SPOLERC was used to calculated the P leaching CP value.…”

Section: Data Preview and Soil P Leaching Change Point Calculationmentioning

confidence: 99%

A Tool (SPOLERC) to Guide the Evaluation of Phosphorus Leaching for Agricultural Soil by Using Soil Phosphorus Leaching Change Point in the Lake Xingkai Basin, China

Xie

Fan

et al. 2021

Preprint

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BackgroundAs the key factor of soil P leaching risk assessment, soil P leaching change point (CP) has been widely reported. However, there was no report have clearly described the calculation method of soil P leaching CP value and its automation calculation. Additionally, there was no effective risk grading method performed on the classification of soil P leaching evaluation.ResultsThis study has optimized the calculation process of soil P leaching CP value under two different models. Subsequently, based on the Python programming language, a computation tool named SPOLERC (Soil Phosphorus Leaching Risk Calculator) was developed for soil P leaching risk assessment. SPOLERC not only embedded the calculation process of soil P leaching CP value, but also introduced the single factor index (SFI) method to grade the soil P leaching risk level. Considering the relationships between soil Olsen-P and leachable P fitted by using SPOLERC in paddy land soils and arid agricultural land soils in the Lake Xingkai basin, results have shown that there is a good linear fitting relationship between soil Olsen-P and leachable P; and the CP values were 59.63 and 35.35 mg Olsen-P kg-1 in paddy land soils and arid agricultural land soils, respectively. Additionally, 32.7%, 21.8%, and 3.64% of arid agricultural soil samples are at low risk, medium risk, and high risk of P leaching, and 40.6% of paddy land soil samples are at low risk. ConclusionsThe SPOLERC can accurately fit the split-line model relationship between soil Olsen-P and leachable P, and greatly improve the calculating efficiency for soil P leaching CP value. Additionally, the obtained CP value can be used for soil P leaching risk assessment, which can provide support for the quantitative study of soil P leaching loss and the control technology of soil P leaching loss.

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The distribution, effectiveness and environmental threshold of soil aggregate phosphorus fractions in the sub‐alpine region of Southwest China

et al. 2022

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This article is a study of total phosphorus (TP), available phosphorus (AP) and phosphorus (P) fractions of soil aggregates along an altitude gradient in the sub-alpine region of Southwest China. We conclude that soil aggregate TP and AP contents are higher at 3980 m and 3347 m; there are no significant differences in soil aggregate TP at any altitude (p > 0.05); the AP and phosphorus activation coefficient (PAC) are higher in 0.25-0.5 mm aggregate. Soil aggregates TPi > TPo at 3009 m and TPo > TPi at 3347, 3654 and 3980 m. Using multiple stepwise regression analysis, we conclude that NaOH-Pi is the key fraction of AP supply, NaHCO 3 -Pi and NaOH-Pi are important fractions of CaCl 2 -P. Through piecewise linear fitting of soil aggregate AP and CaCl 2 -P, the soil P environmental threshold obtained is 27.766 mg kg À1 in this region. Also we got <0.25 mm, 0.25-0.5 mm aggregates at 3980 m which have high soil P loss risk. Our study fills in gap about the distribution of P fraction in aggregates and effects of soil P fraction for AP and CaCl 2 -P in high-altitude areas. Our study provides a reference and scientific basis for understanding the soil aggregate P storage capacity and the biological effectiveness of P fractions at high altitudes. Our study on the P environmental threshold provides a reference for soil P storage capacity. Our study provides a reference value for the soil P loss risk management, and sustainable development of soil ecosystems in the sub-alpine region of Southwest China.

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Effects of biochar application and irrigation rate on the soil phosphorus leaching risk of fluvisol profiles in open vegetable fields

Cited by 24 publications

References 40 publications

A tool (SPOLERC) to guide the evaluation of phosphorus leaching for agricultural soil by using the change point value in the Xingkai Lake Basin, China

A tool (SPOLERC) to guide the evaluation of phosphorus leaching for agricultural soil by using the change point value in the Xingkai Lake Basin, China

A Tool (SPOLERC) to Guide the Evaluation of Phosphorus Leaching for Agricultural Soil by Using Soil Phosphorus Leaching Change Point in the Lake Xingkai Basin, China

The distribution, effectiveness and environmental threshold of soil aggregate phosphorus fractions in the sub‐alpine region of Southwest China

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