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土壤硒的生物有效性受磷素形态的显著影响，但富硒农田土壤中不同磷组分的区域差异及其驱动因子仍缺乏系统认识。本研究采集我国9个典型富硒区域的36份农田土壤样品（涵盖旱地与水田），采用Hedley分级法测定七类磷形态，包括氯化铵提取态磷、碳酸氢钠提取态磷、氢氧化钠溶性磷、磷灰石型磷、土壤团聚体内磷、有机磷和残留磷，并结合土壤理化性质分析与冗余分析，明确关键环境控制因子。研究结果表明富硒土壤磷库结构在区域间存在显著差异。北方弱碱性土壤（含南通样地）中碳酸氢钠提取态磷占比较高，而南方酸性土壤则以铁铝氧化物固定的氢氧化钠溶性磷和有机磷为主；广西巴马旱地土壤中多类磷组分（碳酸氢钠提取态磷、磷灰石型磷、土壤团聚体内磷、总磷）均达峰值。冗余分析（redundancy analysis,RDA）结果显示，pH、有效铁、铵态氮和总氮是主要驱动因子，RDA1和RDA2轴累计解释变异率为57.1%，其中p H与氯化铵提取态磷呈显著正相关，与氢氧化钠溶性磷和磷灰石型磷呈显著负相关。本研究为富硒农田的磷-硒耦合过程解析及区域化养分管理提供科学依据。
Abstract：Soil selenium bioavailability is significantly influenced by phosphorus(P) fractions, yet the regional variability of P components and their key driving factors in Se-rich agricultural soils remain poorly understood. In this study, 36 farmland soil samples were collected from nine representative selenium-rich regions across China, covering both upland and paddy fields. Seven P fractions were determined using the Hedley sequential extraction method, including ammonium chloride-extractable P(AP), sodium bicarbonate-extractable P(BP), sodium hydroxide-soluble P(NIP), apatite-type P(HP), intra-aggregate P(NIIP), organic P(OP), and residual P(ResP). Soil physicochemical properties were analyzed, and redundancy analysis(RDA) was applied to identify the major environmental controls.The results showed that P pool structure differed markedly among regions. Northern weakly alkaline soils(e.g., Nantong, NT) were characterized by higher proportions of BP, whereas acidic southern soils were dominated by NIP and OP, indicating strong stabilization of P by Fe/Al oxides and soil organic matter. Several fractions reached peak levels in Bama upland soils in Guangxi. RDA revealed soil pH, available Fe(AFe), NH4+-N, and total nitrogen(TN) as the primary drivers, with the first two axes explaining 57.1% of total variance. Soil pH was positively correlated with AP and negatively associated with NIP and HP. This study provides a scientific basis for understanding phosphorus-selenium coupling processes and for region-specific nutrient management in selenium-rich farmlands.
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基本信息:
DOI：10.12194/j.ntu.20251126001
中图分类号:S153.6
引用信息:
[1]陈澎军,刘素,陈旭,等.我国典型富硒农田土壤磷素组分特征及其影响因素分析[J].南通大学学报(自然科学版),2026,25(01):87-94.DOI:10.12194/j.ntu.20251126001.
基金信息:
国家自然科学基金面上项目(41773079,42377290)
2025-11-26
2025
2026-01-09
2026-01-21
2026
1
2026-03-27
2026-03-27
2026-03-27