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在富营养化太阳盐沼池塘中模拟浮游植物动态:预测恢复和气候变化的影响。

Modelling the phytoplankton dynamics in a nutrient-rich solar saltern pond: predicting the impact of restoration and climate change.

出版信息

Environ Sci Pollut Res Int. 2013 Dec;20(12):9057-65. doi: 10.1007/s11356-013-1936-y.

Abstract

An ecological model for the solar saltern of Sfax (Tunisia) was established and validated by comparing simulation results to observed data relative to horizontal distributions of temperature, nutrients and phytoplankton biomass. Sensitivity analysis was performed in order to assess the influence of the main ecological model parameters. First applied at the saltern's pond A1, the model was calibrated with field data measured over 4 years of study (from 2000 to 2003), which allowed an evaluation of parameters such as maximum growth rate of phytoplankton, optimal growth temperature and constant of half saturation for P/N assimilation by phytoplankton. Simulation results showed that the model allowed us to predict realistic phytoplankton variations of the study area, though we were unable to accurately reproduce the nutrient variation. The model was then applied to simulations of the impact of changes in phytoplankton biomass through scenarios such as hypothetic climate changes and saltern restoration.

摘要

建立了突尼斯斯法克斯盐田的生态模型,并通过将模拟结果与观测到的温度、营养物质和浮游植物生物量的水平分布数据进行比较来验证该模型。进行了敏感性分析,以评估主要生态模型参数的影响。该模型首先应用于盐田的 A1 池塘,使用 4 年(2000 年至 2003 年)的研究期间测量的现场数据进行了校准,这使得可以评估浮游植物最大生长率、最佳生长温度和浮游植物吸收 P/N 的半饱和常数等参数。模拟结果表明,该模型允许我们预测研究区域浮游植物的实际变化,但我们无法准确再现营养物质的变化。然后,该模型应用于通过假设气候变化和盐田恢复等情景来模拟浮游植物生物量变化的影响的模拟。

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