Miklesh David, Meile Christof
Department of Marine Sciences, University of Georgia, Athens, GA, USA.
PeerJ. 2018 Nov 8;6:e5911. doi: 10.7717/peerj.5911. eCollection 2018.
In coastal marsh ecosystems, porewater salinity strongly affects vegetation distribution and productivity. To simulate marsh porewater salinity, an integrated, spatially explicit model was developed, accounting for tidal inundation, evaporation, and precipitation, as well as lateral and vertical exchanges in both surface waters and the subsurface. It was applied to the Duplin River marsh, Sapelo Island, USA, over a 3-year period, which covered both drought and wet conditions. Simulated porewater salinity in the low and high marsh correlated with Duplin River salinity, with evapotranspiration and precipitation leading to substantial variations in porewater salinities across seasons, in particular in the high marsh. The model revealed substantial interannual variability in marsh soil conditions, and-due to its process-based approach linked to external forcings-can be used to explore effects of sea level rise and changes in hydrological forcings on marsh soil conditions.
在沿海沼泽生态系统中,孔隙水盐度强烈影响植被分布和生产力。为了模拟沼泽孔隙水盐度,开发了一个综合的、具有空间明确性的模型,该模型考虑了潮汐淹没、蒸发和降水,以及地表水和地下水中的横向和垂直交换。该模型应用于美国萨佩洛岛的杜普林河沼泽,为期3年,涵盖了干旱和湿润条件。低沼泽和高沼泽中模拟的孔隙水盐度与杜普林河盐度相关,蒸散和降水导致孔隙水盐度在不同季节有显著变化,特别是在高沼泽。该模型揭示了沼泽土壤条件存在显著的年际变化,并且由于其基于过程的方法与外部强迫相关联,可用于探索海平面上升和水文强迫变化对沼泽土壤条件的影响。