首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Combining a regional climate model with a phytoplankton community model to predict future changes in phytoplankton in lakes
Authors:J ALEX ELLIOTT  STEPHEN J THACKERAY  CHRIS HUNTINGFORD  RICHARD G JONES
Institution:Centre for Ecology and Hydrology Lancaster, Library Avenue, Bailrigg, U.K.; Centre for Ecology and Hydrology Wallingford, Wallingford, U.K.; Met office, Hadley Centre for Climate Prediction and Research, Exeter, Devon, U.K.
Abstract:1. Linking a regional climate model (RCM) configured for contemporary atmospheric greenhouse gas concentrations, with a phytoplankton community model (PROTECH) produced realistic simulations of 20 years of recent phytoplankton data from Bassenthwaite Lake, in the North‐West of England. 2. Meteorological drivers were derived from the RCM to represent a future climate scenario involving a 1% per annum compound increase in atmospheric CO2 concentrations until 2100. Using these drivers, PROTECH was run for another 20 year period representing the last two decades of the 21st century. 3. Comparison of these present and future simulations revealed likely impacts on the current seasonal phytoplankton development. Under future climate conditions, the simulated spring bloom showed an increase in cyanobacteria dominance caused by greater success of Planktothrix. Also, the summer cyanobacteria bloom declined earlier because of nutrient limitation caused by the increased spring growth. Overall productivity in the lake did not change. 4. Analysis showed that these predicted changes were driven by changes in water temperature, which were in turn triggered by the higher air temperatures predicted by the RCM.
Keywords:blooms  blue-green algae  climate change  cyanobacteria  diatoms
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号