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• W3204463670 endingPage "118240" @default.
• W3204463670 startingPage "118240" @default.
• W3204463670 abstract "Phytoextraction using hyperaccumulator, Pteris vittata, to extract arsenic (As) from soil has been applied to large areas to achieve an As removal rate of 18% per year. However, remarkable difference among different studies and field practices has led to difficulties in the standardization of phytoextraction technology. In this study, data on As concentration in P. vittata and related environmental conditions were collected through literature search. A conceptual framework was proposed to guide the improvement of phytoextraction efficiency in the field. The following influencing factors of As concentration in this hyperaccumulator were identified: total As concentration in soil, soil available As, organic matter in soil, total potassium (K) concentration in soil, and annual rainfall. The geodetection results show that the main factors that affect As concentration in P. vittata include soil organic matter (q = 0.75), soil available As (q = 0.67), total K (q = 0.54), and rainfall (q = 0.42). The predictive models of As concentration in P. vittata were established separately for greenhouse and field conditions through multivariate linear stepwise regression method. Under greenhouse condition, soil available As was the most important influencing factor and could explain 41.4% of As concentration in P. vittata. Two dominant factors were detected in the field: soil available As concentration and average annual rainfall. The combination of these two factors gave better prediction results with R2 = 0.762. The establishment of the model might help predict phytoextraction efficiency and contribute to technological standardization. The strategies that were used to promote As removal from soil by P. vittata were summarized and analyzed. Intercropping with suitable plants or a combination of different measures (e.g., phosphate fertilizer and water retention) was recommended in practice to increase As concentration in P. vittata." @default.
• W3204463670 created "2021-10-11" @default.
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• W3204463670 date "2022-01-01" @default.
• W3204463670 modified "2023-10-18" @default.
• W3204463670 title "Influencing factors and prediction of arsenic concentration in Pteris vittata: A combination of geodetector and empirical models" @default.
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• W3204463670 doi "https://doi.org/10.1016/j.envpol.2021.118240" @default.
• W3204463670 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34619180" @default.
• W3204463670 hasPublicationYear "2022" @default.
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