LIMEverglades              package:LIM              R Documentation

_L_i_n_e_a_r _i_n_v_e_r_s_e _m_o_d_e_l _s_p_e_c_i_f_i_c_a_t_i_o_n _f_o_r _t_h_e _h_e_r_p_e_t_o_l_o_g_i_c_a_l _f_o_o_d _w_e_b
_o_f _t_h_e _E_v_e_r_g_l_a_d_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     Linear inverse model specification for the herpetological wet
     prairie example from the everglades.

     as described in Diffendorfer et al., 2001

     The everglades are a freshwater wetland in Florida, USA.

     The model contains 9 functional compartments and 3 external
     compartments, connected with 402 flows.

     Units of the flows are gram wet weight / Ha / year

     The linear inverse model LIMEverglades is generated from the file
     Everglades.input which can be found in subdirectory
     '/examples/FoodWeb' of the package directory

     In this subdirectory you will find many foodweb example input
     files

     These files can be read using 'Read' and their output processed by
     'Setup' which will produce a linear inverse problem specification
     similar to LIMEverglades

_U_s_a_g_e:

     data(LIMEverglades)

_F_o_r_m_a_t:

     a list of matrices, vectors, names and values that specify the
     linear inverse model problem.

     see the return value of 'Setup' for more information about this
     list

     A more complete description of this structures is in
     vignette("LIM")

_A_u_t_h_o_r(_s):

     Karline Soetaert <k.soetaert@nioo.knaw.nl> Dick van
     Oevelen<d.vanoevelen@nioo.knaw.nl>

_R_e_f_e_r_e_n_c_e_s:

     Diffendorfer, J.E., Richards, P.M., Dalrymple, G.H., DeAngelis,
     D.L., 2001. Applying Linear Programming to estimate fluxes in
     ecosystems or food webs: an example from the herpetological
     assemblage of the freshwater Everglades. Ecol. Model. 144, 99-120.

_S_e_e _A_l_s_o:

     browseURL(paste(system.file(package="LIM"), "/examples/Foodweb/",
     sep=""))

     contains "Everglades.input", the input file; read this with
     'Setup'

     'LIMTakapoto', 'LIMRigaSummer' and many others

_E_x_a_m_p_l_e_s:

     # Cannot be solved, but the least squares solution is found
     Flows <- Lsei(LIMEverglades,parsimonious=TRUE)
     Everglades <- Flowmatrix(LIMEverglades)
     plotweb(Everglades,main="Everglades Herpetological Wet Prairie model",
             sub="g WW/Ha/Yr",lab.size=0.8)

