@article{SachsePetzoldtBlumstocketal.2014,
  author    = {Sachse, Rene and Petzoldt, Thomas and Blumstock, Maria and Moreira, Santiago and Paetzig, Marlene and Ruecker, Jacqueline and Janse, Jan H. and Mooij, Wolf M. and Hilt, Sabine},
  title     = {Extending one-dimensional models for deep lakes to simulate the impact of submerged macrophytes on water quality},
  series = {Environmental modelling \& software with environment data news},
  volume    = {61},
  journal   = {Environmental modelling \& software with environment data news},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {1364-8152},
  doi       = {10.1016/j.envsoft.2014.05.023},
  pages     = {410 -- 423},
  year      = {2014},
  abstract  = {Submerged macrophytes can stabilise clear water conditions in shallow lakes. However, many existing models for deep lakes neglect their impact. Here, we tested the hypothesis that submerged macrophytes can affect the water clarity in deep lakes. A one-dimensional, vertically resolved macrophyte model was developed based on PCLake and coupled to SALMO-1D and GOTM hydrophysics and validated against field data. Validation showed good coherence in dynamic growth patterns and colonisation depths. In our simulations the presence of submerged macrophytes resulted in up to 50\% less phytoplankton biomass in the shallowest simulated lake (11 m) and still 15\% less phytoplankton was predicted in 100 m deep oligotrophic lakes. Nutrient loading, lake depth, and lake shape had a strong influence on macrophyte effects. Nutrient competition was found to be the strongest biological interaction. Despite a number of limitations, the derived dynamic lake model suggests significant effects of submerged macrophytes on deep lake water quality. (C) 2014 Elsevier Ltd. All rights reserved.},
  language  = {en}
}