Modelling the relative importance of internal and external nutrient loads on water column nutrient concentrations and phytoplankton biomass in a shallow polymictic lake

2008 ◽  
Vol 211 (3-4) ◽  
pp. 411-423 ◽  
Author(s):  
David F. Burger ◽  
David P. Hamilton ◽  
Conrad A. Pilditch
Keyword(s):  
Water Column ◽  
Phytoplankton Biomass ◽  
Nutrient Concentrations ◽  
Nutrient Loads ◽  
Relative Importance ◽  
Water Column Nutrient ◽  
Polymictic Lake ◽  
External Nutrient

Water column nutrient concentrations are related to excretion by benthic invertebrates in Lake Taihu, China

2020 ◽  
Vol 261 ◽  
pp. 114161
Author(s):  
Kai Peng ◽  
Boqiang Qin ◽  
Yongjiu Cai ◽  
Zhijun Gong ◽  
Erik Jeppesen
Keyword(s):  
Water Column ◽  
Benthic Invertebrates ◽  
Lake Taihu ◽  
Nutrient Concentrations ◽  
Water Column Nutrient

scholarly journals Estimates of Water-Column Nutrient Concentrations and Carbonate System Parameters in the Global Ocean: A Novel Approach Based on Neural Networks

2017 ◽  
Vol 4 ◽  
Author(s):  
Raphaëlle Sauzède ◽  
Henry C. Bittig ◽  
Hervé Claustre ◽  
Orens Pasqueron de Fommervault ◽  
Jean-Pierre Gattuso ◽  
...  
Keyword(s):  
Neural Networks ◽  
Water Column ◽  
Global Ocean ◽  
Nutrient Concentrations ◽  
Carbonate System ◽  
System Parameters ◽  
Novel Approach ◽  
Water Column Nutrient

Dynamics of annual nutrinets and bloom-forming cyanobacteria, revealed by daily observation in a hyper-eutrophic lake

2020 ◽  
Author(s):  
Mengyuan Zhu ◽  
Guangwei Zhu ◽  
Hans Paerl ◽  
Wei Zhang ◽  
Hai Xu
Keyword(s):  
Water Column ◽  
Phytoplankton Biomass ◽  
Lake Taihu ◽  
Eutrophic Lake ◽  
Trophic Levels ◽  
Monitoring Data ◽  
Limiting Factors ◽  
Nutrient Concentrations ◽  
Nitrogen And Phosphorus ◽  
Chl A

<p>Daily monitoring over a period of one year in Lake Taihu, China, included chlorophyll a (Chl-a) and nutrient measurements, determining the taxonomic composition of the phytoplankton community and various water column physicochemical parameters. Chl-a and nutrient concentrations showed strong circadian variations ‒ Chl-a rised during daylight hours, while ammonium and phosphate rised at night. Chl-a concentrations also showed strong seasonal variations, with one annual peak in spring and another from summer to autumn, dominated by Dolichospermum spp. and Microcystis spp. respectively. Temperature appeared to exert the most important effect in this species succession. A nutrient‒Chl-a balance calculation indicated that both nitrogen and phosphorus in the water column could be limiting factors for phytoplankton growth during bloom periods. Over two thirds of particulate nutrients was attributed to phytoplankton biomass during blooms. Daily (or weekly) monitoring data provided more precise description of water quality, capturing short-term peaks in phytoplankton biomass, and reduced risks of under- or overestimating trophic levels in lakes, which always happened when using monthly monitoring data.</p>

Modelling nitrogen transport across compartments over northern Europe

2021 ◽  
Author(s):  
Stefan Hagemann ◽  
Ute Daewel ◽  
Volker Matthias ◽  
Tobias Stacke
Keyword(s):  
Baltic Sea ◽  
Land Surface ◽  
Climate Model ◽  
Transport Model ◽  
Atmospheric Transport ◽  
Regional Climate ◽  
Marine Ecosystem ◽  
Coupled System ◽  
Nutrient Concentrations ◽  
Nutrient Loads

<p>River discharge and the associated nutrient loads are important factors that influence the functioning of the marine ecosystem. Lateral inflows from land carrying fresh, nutrient-rich water determine coastal physical conditions and nutrient concentration and, hence, dominantly influence primary production in the system. Since this forms the basis of the trophic food web, riverine nutrient concentrations impact the variability of the whole coastal ecosystem. This process becomes even more relevant in systems like the Baltic Sea, which is almost decoupled from the open ocean and land-borne nutrients play a major role for ecosystem productivity on seasonal up to decadal time scales.</p><p> </p><p>In order to represent the effects of climate or land use change on nutrient availability, a coupled system approach is required to simulate the transport of nutrients across Earth system compartments. This comprises their transport within the atmosphere, the deposition and human application at the surface, the lateral transport over the land surface into the ocean and their dynamics and transformation in the marine ecosystem. In our study, we combine these processes in a modelling chain within the GCOAST (Geesthacht Coupled cOAstal model SysTem) framework for the northern European region. This modelling chain comprises:</p><p> </p><ul><li>Simulation of emissions, atmospheric transport and deposition with the chemistry transport model CMAQ at 36 km grid resolution using atmospheric forcing from the coastDat3 data that have been generated with the regional climate model COSMO-CLM over Europe at 0.11° resolution using ERA-Interim re-analyses as boundary conditions</li> <li>Simulation of inert processes at the land surface with the global hydrology model HydroPy (former MPI-HM), i.e. considering total nitrogen without any chemical reactions</li> <li>Riverine transport with the Hydrological Discharge (HD) model at 0.0833° spatial resolution</li> <li>Simulation of the North Sea and Baltic Sea ecosystems with 3D coupled physical-biogeochemical NPZD-model ECOSMO II at about 10 km resolution</li> </ul><p> </p><p>We will present first results and their validation from this exercise.</p><p> </p>

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