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首页> 外文期刊>Ecological informatics: an international journal on ecoinformatics and computational ecology >Modeling inorganic nutrient distributions among hydrologic gradients using multivariate approaches
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Modeling inorganic nutrient distributions among hydrologic gradients using multivariate approaches

机译：使用多元方法模拟水文梯度中的无机养分分布

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摘要

River inflow can control the distribution of dissolved inorganic nutrients in an estuary. So, it is expected that estuaries with different inflow regimes will have a different nutrient transport and different structural and functional balance of nutrient dynamics. A long term (1987-2012) data set of nutrients in the three South Texas Estuaries (the Guadalupe (GE), Lavaca-Colorado (LC), and Nueces (NC) Estuaries) was used to test these hypotheses. The nutrient dynamics in the estuaries were compared using multivariate linear regression and structural equation modeling (SEM). The Nueces Estuary is relatively oligotrophic because the probabilities of detecting ammonia, nitrite + nitrate, and orthophosphate concentrations at <= 1 mu mol/L were 0.63, 0.75, and 0.64 respectively. Although the GE and LC Estuaries have more river inflow than the NC Estuary, the probability of detecting dissolved inorganic nitrogen (DIN) (ammonia + nitrite + nitrate) concentrations of <= 1 mu mol/L was greater than 0.5. In all the three estuaries, silicate was constantly available and was always at a high concentration, whereas inorganic nitrogen and phosphorus concentrations have decreased since 1987. The SEM identified that environmentalflow and phytoplankton were the most important predictor variables to predict DIN, silicate and orthophosphate, whereas TSS was important in predicting phosphorous and silica. The direct negative effect of latent variable phytoplankton to DIN implies that remineralization is likely maintaining the supply of DIN concentrations. The environmental flow was identified as the most important predictor variable in maintaining DIN. However, the low path coefficient of environment flow to nitrogen and other nutrients indicate that there is insufficient river inflow to maintain inorganic nitrogen and phosphorus concentrations into the estuaries. These findings imply future water diversions or a drier climate that could lead to oligotrophication. (C) 2014 Elsevier B.V. All rights reserved.
机译：河流流入可以控制河口中溶解的无机养分的分布。因此，预计具有不同流入方式的河口将具有不同的养分运移以及养分动态的结构和功能平衡。使用三个南德克萨斯河口（瓜达卢佩河（GE），拉瓦卡-科罗拉多河（LC）和纽西斯河（NC）河口）中的长期营养数据集（1987-2012）来检验这些假设。使用多元线性回归和结构方程模型（SEM）比较河口的养分动态。 Nueces河口相对贫血，因为在<= 1μmol / L时检测氨，亚硝酸盐+硝酸盐和正磷酸盐的可能性分别为0.63、0.75和0.64。尽管GE和LC河口的河水流入量比NC河口的要多，但检测到的溶解无机氮（DIN）（氨气+亚硝酸盐+硝酸盐）浓度<= 1 mol / L的可能性大于0.5。在这三个河口中，硅酸盐一直存在并且一直处于高浓度，而无机氮和磷的浓度自1987年以来一直在下降。SEM指出，环境流量和浮游植物是预测DIN，硅酸盐和正磷酸盐的最重要的预测变量， TSS在预测磷和二氧化硅方面很重要。潜在的浮游植物对DIN的直接负面影响表明，再矿化可能会维持DIN浓度的供应。在维持DIN方面，环境流量被认为是最重要的预测变量。但是，环境流向氮和其他养分的路径系数较低，表明河水流入不足以维持河口中无机氮和磷的浓度。这些发现暗示着未来的调水或更干燥的气候可能导致富营养化。 （C）2014 Elsevier B.V.保留所有权利。

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