5 and 6) of Lucas and Thompson (2012) (2) via numerical integration along the streamwise habitat axis. This model calculates steady-state habitat averaged phytoplankton biomass and productivity two ways: (1) via analytical expressions provided in the Appendix (see Eqs. In addition, a range of benthic grazing rates and transport times are specified. In this model, net phytoplankton growth rate, inflowing algal biomass concentration, zooplankton grazing rate, water depth, and cellular C:Chl ratio are specified by the user and assumed uniform and constant. The Matlab script “B_and_NPP_of_Trantime.m” contains the model used to test Hypothesis #2 in Lucas and Thompson (2012), i.e., to explore the relationship between phytoplankton biomass and productivity and transport time, and how that relationship changes as a function of benthic grazing rate. See Appendix and Table 1 in main manuscript and comments in source code for more detail. To produce the results presented in Lucas and Thompson (2012), the model was compiled with Compaq Visual Fortran Standard Edition 6.6.a. However, if any changes are made to the include file, the code needs to be recompiled before running in order for changes to take effect. We include an executable version of the code “calcB7_5curve.exe”. The include file, B7.inc, contains and describes all changeable model parameters. The Fortran code “calcB7_5curve.for” and accompanying include file “B7.inc” contain the model used to test Hypothesis #1 in Lucas and Thompson (2012), i.e., to explore the relationship between phytoplankton biomass and productivity and water depth, and how that relationship changes as a function of benthic grazing rate.

Compaq Visual Fortran 6.6 Standard