A dynamic biomass model of emergent aquatic vegetation under different water levels and salinity

摘要: Abstract Emergent aquatic vegetation (EAV) is an important part of wetland ecosystems that provide multiple ecological services. However, human activities and natural changes often influence hydrological regimes such as water levels, salinity, other factors, which greatly the survival growth plants. Based on field measurements control experiments, we developed EAV model to simulate biomass dynamics under changing conditions levels salinity. This successfully reproduced seasonal variation three typical emergent plants, Phragmites australis, Typha angustifolia Scirpus mariqueter, simulated response EVA scenarios salinity in Chongming Dongtan Nature Reserve (CDNR), Shanghai, China. Results suggest there a negative correlation between biomass. An optimal range are suitable for EAV, will decrease when below or above their range. Applying this dynamic cost-effective approach find sustainable nature-based solution managing predicting changes. The used study may management protection ecosystems, be transferrable systems well.