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Towards the development of a biogeochemical model for addressing the eutrophication problems in the shallow hypertrophic lagoon of Albufera de Valencia, Spain

机译:致力于开发一种生物地球化学模型,以解决西班牙阿尔布费拉-德巴伦西亚的肥厚浅水泻湖中的富营养化问题

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Our study presents a biogeochemical model that aims to reproduce the ecological processes shaping phytoplankton dynamics in the shallow hypertrophic lagoon of Albufera de Valencia (Spain). The model simulates two elemental cycles (N and P), two phytoplankton groups (cyanobacteria and non-cyanobacteria), and heterotrophic bacteria. First, we examine the capacity to reproduce the observed plankton patterns, while accommodating the uncertainty related to the external forcing factors of our model (hydraulic and nutrient loading, zooplanlcton grazing). Sensitivity analysis is also performed to identify the most influential parameters and therefore to shed light on the knowledge needed to solidify the model parameter specification. We subsequently utilize the calibrated model to assess the phytoplankton response to potential restoration actions; namely, the interplay between external nutrient loading reductions and variant flushing rates. The model successfully simulates a number of relevant water quality variables in the system, including total chlorophyll a, nitrate, ammonia, total nitrogen and total phosphorus. According to our sensitivity analysis, the credibility of the model as a management tool is primarily dependent upon the characterization of the phytoplankton growth strategies and associated settling rates. External P and N loadings are identified as the predominant driver of the system dynamics and their control should remain the main priority of local management efforts. Finally, we pinpoint future research directions that could advance our understanding of the ecosystem functioning, including an improved quantitative description of the seasonal variability of the hydraulic regime in the studied lagoon. (C) 2015 Elsevier B.V. All rights reserved.
机译:我们的研究提出了一个生物地球化学模型,旨在再现在西班牙阿尔巴费拉-德巴伦西亚的肥厚浅泻湖中塑造浮游植物动态的生态过程。该模型模拟了两个元素周期(N和P),两个浮游植物群(蓝细菌和非蓝细菌)以及异养细菌。首先,我们研究了再现观察到的浮游生物模式的能力,同时适应了与我们模型的外部强迫因素(液压和营养物负荷,浮游动物放牧)有关的不确定性。还执行敏感性分析以识别最有影响力的参数,从而阐明巩固模型参数规格所需的知识。随后,我们使用校准的模型来评估浮游植物对潜在恢复行动的反应;就是说,外部养分减少和不同冲洗速度之间的相互作用。该模型成功模拟了系统中的许多相关水质变量,包括总叶绿素a,硝酸盐,氨,总氮和总磷。根据我们的敏感性分析,该模型作为管理工具的可信度主要取决于浮游植物生长策略的特征以及相关的沉降率。外部的P和N负载被认为是系统动力学的主要驱动力,它们的控制应仍然是本地管理工作的主要优先事项。最后,我们确定了可以促进我们对生态系统功能的理解的未来研究方向,包括对所研究的泻湖中水力状况的季节性变化进行定量描述。 (C)2015 Elsevier B.V.保留所有权利。

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