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首页> 外文期刊>Agricultural and Food Science >A rainfall simulation study on the relationships between soil test P versus dissolved and potentially bioavailable particulate phosphorus forms in runoff
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A rainfall simulation study on the relationships between soil test P versus dissolved and potentially bioavailable particulate phosphorus forms in runoff

机译:降雨模拟研究土壤试验磷与径流中溶解态磷和潜在生物利用颗粒磷形态之间的关系

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Runoff from clayey soils often contains abundant particulate phoshorus (PP); part of which may solubilize in surface waters. Monitoring losses of potentially bioavailable forms of PP is expensive; calling for other ways to predict them. Such predictions could be based on soil loss and available soil P indices; e.g.; agronomic P status. To study correlations between P pools in runoff versus soil P saturation (by Mehlich 3 extraction; DPSM3) and acetate soil test P (PAc); 15 clayey soils of south Finland were subjected to laboratory rainfall simulation. Runoff from these simulations was analyzed for concentrations of suspended soil (TSS); dissolved molybdate-reactive P(DRP); total P(TP); and; as normalized to soil loss; potentially bioavailable formsof PP: desorbable (anion exchange resin-extractable; AER-PP/TSS) and redox-labile PP (bicarbo-nate-dithionite-extractable; BD-PP/TSS). Correlation coefficients (r2) between DPSM; and DRP; AER-PP/ TSS; and BD-PP/TSS equaled 0.92; 0.77; and 0.45; respectively. Runoff P forms were also correlated to soil PAc with r2 values of 0.84; 0.56; and 0.58 for DRP; AER-PP/TSS; and BD-PP/TSS; respectively. Prediction of soil loss-normalized concentrations of potentially bioavailable PPby the agronomic PAc test was considered possible. However; such predictions have a high degree of uncertainty; evidenced by comparison to published field data. Acceptably accurate predictive equations would require a large material as a basis for their construction; and soils should probably also be grouped according to other soil properties that would account for variation in P sorption capacity.
机译:粘土土壤的径流通常含有丰富的磷(PP)。其中一部分可能溶解在地表水中。监测潜在的生物利用形式的PP的损失是昂贵的;呼吁其他方式来预测它们。这种预测可以基于土壤流失和可用的土壤磷指数;例如。;农艺P状态。研究径流中磷库与土壤磷饱和度(通过Mehlich 3提取; DPSM3)和乙酸盐土壤测试磷(PAc)之间的相关性;对芬兰南部的15种黏土进行了实验室降雨模拟。分析了这些模拟的径流中的悬浮土壤(TSS)浓度;溶解钼酸盐反应性P(DRP);总P(TP);和;根据土壤流失归一化; PP的潜在生物利用形式:可解吸的(阴离子交换树脂可萃取; AER-PP / TSS)和氧化还原不稳定的PP(可对二苯甲酸酯-连二亚硫酸钠可萃取; BD-PP / TSS)。 DPSM之间的相关系数(r2);和DRP; AER-PP / TSS; BD-PP / TSS等于0.92; 0.77;和0.45;分别。径流P形态也与土壤PAc相关,r2值为0.84; 0.56; DRP为0.58; AER-PP / TSS;和BD-PP / TSS;分别。人们认为通过农艺学PAc试验预测土壤流失标准化的潜在生物利用度PP的浓度是可能的。然而;此类预测具有高度不确定性;通过与已发布的现场数据进行比较来证明。可接受的准确预测方程式将需要大量材料作为其构建的基础;土壤可能还应该根据其他土壤特性进行分组,这些特性会解释P吸附能力的变化。

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