Title of article :
Simulation of soil chemistry and nutrient availability in a forested
ecosystem of southern Quebec — I. Reconstruction of the timeseries
files of nutrient cycling using the Makedep model
Author/Authors :
Nicolas Be´langer a، نويسنده , , Beno?ˆt Coˆte´ a، نويسنده , , Francois Courchesne، نويسنده , , James W. Fyles a، نويسنده , , Per Warfvinge، نويسنده , , William H. Hendershot، نويسنده , , ?، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2002
Abstract :
The Makedep model is used to reconstruct the time-series input files of deposition, forest growth, uptake and litterfall needed
to run the dynamic biogeochemical model SAFE. The amounts and timing of N made available for tree growth is what determines
most of the model output. In this paper, the sensitivity of Makedep to various amounts and timing of N availability, including
increased supplies of N prior to air pollution assuming increased biological N2 fixation, was assessed in a small hardwood stand
of southern Quebec. The scenarios of N cycling were validated for burned and unburned conditions based on the simulated tree
growth and N leaching rates as well as the model’s ability to recreate the trends in atmospheric deposition of major ions in
northeastern North America. The N leaching rates were calculated as the residual component of all simulated processes acting as
sources and sinks of N. The N availability scenarios that subtracted/added 5 mmol m 2 yr 1 of NH4 in the unburned and burned
conditions, respectively, recreated N leaching rates and tree biomass with the most precision. Modifying the amounts of N made
available prior to air pollution was also necessary for the trees to grow to reasonable values before 1900. Historical trends of
deposition were linked to the changes in the continental emissions in northeastern North America. Observational data for 30 years
at the Hubbard Brook Experimental Forest, New Hampshire, showed convergent trends for most ions with the deposition trends
simulated with Makedep.
Keywords :
Iron and steel , Trade effects , Linear programming , policy analysis , Carbon leakage , CO2
Journal title :
Environmental Modelling and Software
Journal title :
Environmental Modelling and Software