Last data update: 2014.03.03
R: Catch input for CTSA
CTSA.catch.input R Documentation
Catch input for CTSA
Description
CTSA.catch.input is used to create inputs for the CTSA.forward function. It is a list of data.frames referring to catches per fleet formatted with TL classes in rows and trophic groups in columns.
Usage
CTSA.catch.input(catch.group,smooth_type=NULL,sigmaLN_cst=NULL,
pas=NULL,shift=NULL,smooth_param=NULL)
Arguments
catch.group
is a data.frame containing: a column group_name, column(s) referring to the catches of each fleet (named 'catch.1', 'catch.2'...), a column TL specifying the mean TL of each group, and optionally a column OI (omnivory index) used for smooth_type=3.
smooth_type
is a parameter of the create.smooth function. It defines the type of sigma calculation for the lognormal distribution. Values of this parameter are 1, 2 or 3. By default smooth_type=1, this defines a constant sigma. By choosing smooth_type=2, the user has the possibility to implement a sigmaLN=smooth_param*ln(TL-0.05), with the parameter smooth_param=0.07 and shift=0.95 by default. Smooth_type=3 corresponds to the use of the omnivory index (OI) in the sigmaLN calculation (sigmaLN=OI/TL).
sigmaLN_cst
is a parameter of the create.smooth function. It defines the value of the constant sigma of the lognormal distribution in case of smooth_type=1. By default, sigmaLN_cst=0.12.
pas
is a parameter of the create.smooth function. It defines the splitting of the TL classes. By default, pas=0.1.
shift
is a parameter of the create.smooth function. It defines the beginning of the smooth function and allows the substraction of 0.05 in the sigma calculation accounting for the half interval range of the trophic class. By default, with a constant sigmaLN (smooth_type=1), shift=1.8; with a function defined sigmaLN (smooth_type=2), shift=0.95; and with sigmaLN=OI/TL (smooth_type=3), shift=0.
smooth_param
is a parameter of the create.smooth function. It defines the slope of the log-linear increase of the TL variability with the mean trophic level of the group. SigmaLN(TL) is thus defined as sigmaLN(TL)=smooth_param*ln(TL-0.05). By default, smooth_param=0.07.
Value
CTSA.catch.input returns a list of data.frames, referring to catches per fleet formatted with TL classes in rows and trophic groups in columns.
Author(s)
Gatti Paul, Colleter Mathieu, Guitton Jerome.
See Also
create.smooth, Transpose and CTSA.forward.
Examples
data(ecopath_guinee)
catch.group=ecopath_guinee[,c("group_name","TL","catch.1","catch.2")]
Y_test <- CTSA.catch.input(catch.group)
Y_test
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(EcoTroph)
Loading required package: XML
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/EcoTroph/CTSA.catch.input.Rd_%03d_medium.png", width=480, height=480)
> ### Name: CTSA.catch.input
> ### Title: Catch input for CTSA
> ### Aliases: CTSA.catch.input
> ### Keywords: ~EcoTroph ~CTSA
>
> ### ** Examples
>
> data(ecopath_guinee)
> catch.group=ecopath_guinee[,c("group_name","TL","catch.1","catch.2")]
> Y_test <- CTSA.catch.input(catch.group)
> Y_test
$catch.1
Whales Dolphins Turtles Sea birds Rays+ Sharks+ Large pelagics
1 0 0 0 0 0.000000e+00 0.000000e+00 0.000000e+00
2 0 0 0 0 8.412132e-86 7.378753e-99 3.200979e-95
2.1 0 0 0 0 1.055894e-59 1.255417e-70 1.725415e-67
2.2 0 0 0 0 3.419605e-44 1.323994e-53 8.050220e-51
2.3 0 0 0 0 7.012120e-34 4.047005e-42 1.307161e-39
2.4 0 0 0 0 1.433833e-26 7.524877e-34 1.449529e-31
2.5 0 0 0 0 3.592697e-21 1.219003e-27 1.516867e-25
2.6 0 0 0 0 4.496767e-17 7.684999e-23 6.549187e-21
2.7 0 0 0 0 6.618610e-14 4.708239e-19 2.873372e-17
2.8 0 0 0 0 1.995212e-11 5.082843e-16 2.301038e-14
2.9 0 0 0 0 1.795995e-09 1.450775e-13 5.012737e-12
3 0 0 0 0 6.298415e-08 1.459034e-11 3.939262e-10
3.1 0 0 0 0 1.044211e-06 6.375553e-10 1.371897e-08
3.2 0 0 0 0 9.454856e-06 1.416030e-08 2.469659e-07
3.3 0 0 0 0 5.219100e-05 1.802205e-07 2.584801e-06
3.4 0 0 0 0 1.912844e-04 1.442967e-06 1.723541e-05
3.5 0 0 0 0 4.978870e-04 7.825192e-06 7.870849e-05
3.6 0 0 0 0 9.711984e-04 3.049531e-05 2.608484e-04
3.7 0 0 0 0 1.482887e-03 8.960643e-05 6.575499e-04
3.8 0 0 0 0 1.836467e-03 2.065067e-04 1.310308e-03
3.9 0 0 0 0 1.899725e-03 3.856551e-04 2.130931e-03
4 0 0 0 0 1.682106e-03 5.997658e-04 2.904546e-03
4.1 0 0 0 0 1.301322e-03 7.947998e-04 3.393336e-03
4.2 0 0 0 0 8.949912e-04 9.151374e-04 3.463041e-03
4.3 0 0 0 0 5.553434e-04 9.308653e-04 3.137614e-03
4.4 0 0 0 0 3.148431e-04 8.485101e-04 2.559072e-03
4.5 0 0 0 0 1.648657e-04 7.016915e-04 1.901547e-03
4.6 0 0 0 0 8.049036e-05 5.321018e-04 1.300712e-03
4.7 0 0 0 0 3.693788e-05 3.734620e-04 8.264749e-04
4.8 0 0 0 0 1.604716e-05 2.445908e-04 4.916827e-04
4.9 0 0 0 0 6.640822e-06 1.505515e-04 2.757784e-04
5 0 0 0 0 2.632166e-06 8.764424e-05 1.467272e-04
5.1 0 0 0 0 1.004066e-06 4.852676e-05 7.445326e-05
5.2 0 0 0 0 3.701820e-07 2.568105e-05 3.620440e-05
5.3 0 0 0 0 1.324069e-07 1.304775e-05 1.694321e-05
5.4 0 0 0 0 4.610030e-08 6.389430e-06 7.660184e-06
5.5 0 0 0 0 1.567085e-08 3.026392e-06 3.357141e-06
5.6 0 0 0 0 5.214781e-09 1.390915e-06 1.430580e-06
5.7 0 0 0 0 1.702834e-09 6.220507e-07 5.943703e-07
5.8 0 0 0 0 5.468046e-10 2.714041e-07 2.413667e-07
5.9 0 0 0 0 1.730027e-10 1.157925e-07 9.601534e-08
6 0 0 0 0 5.402417e-11 4.840941e-08 3.749057e-08
6.1 0 0 0 0 1.667699e-11 1.986972e-08 1.439508e-08
6.2 0 0 0 0 5.096314e-12 8.020804e-09 5.444228e-09
6.3 0 0 0 0 1.543686e-12 3.189272e-09 2.031151e-09
6.4 0 0 0 0 4.640127e-13 1.250939e-09 7.485607e-10
6.5 0 0 0 0 1.385561e-13 4.846403e-10 2.728556e-10
6.6 0 0 0 0 4.113968e-14 1.856786e-10 9.848156e-11
6.7 0 0 0 0 1.215663e-14 7.042683e-11 3.523267e-11
6.8 0 0 0 0 3.577879e-15 2.647184e-11 1.250601e-11
6.9 0 0 0 0 1.049569e-15 9.869598e-12 4.408123e-12
7 0 0 0 0 3.070823e-16 3.653009e-12 1.544181e-12
Barracudas+ Carangids Horse mackerels+ Ethmalosa Sardinella+
1 0.000000e+00 0.000000e+00 0 0.000000e+00 0.000000e+00
2 1.674258e-92 1.860287e-92 0 3.390901e-24 8.383082e-41
2.1 2.722641e-65 3.025157e-65 0 1.565249e-11 8.898009e-24
2.2 5.428059e-49 6.031176e-49 0 1.489525e-05 1.052874e-14
2.3 4.557698e-38 5.064109e-38 0 1.234276e-02 2.193381e-09
2.4 2.948634e-30 3.276260e-30 0 2.296807e-01 3.733138e-06
2.5 1.956493e-24 2.173881e-24 0 4.492700e-01 3.324055e-04
2.6 5.692740e-20 6.325267e-20 0 2.116584e-01 4.277639e-03
2.7 1.763368e-16 1.959298e-16 0 3.898944e-02 1.457194e-02
2.8 1.034278e-13 1.149198e-13 0 3.795027e-03 1.928221e-02
2.9 1.700009e-11 1.888899e-11 0 2.374536e-04 1.278733e-02
3 1.033014e-09 1.147793e-09 0 1.090236e-05 5.066523e-03
3.1 2.839699e-08 3.155221e-08 0 4.027067e-07 1.358953e-03
3.2 4.106436e-07 4.562707e-07 0 1.277629e-08 2.702748e-04
3.3 3.505080e-06 3.894534e-06 0 3.650696e-10 4.265190e-05
3.4 1.931314e-05 2.145904e-05 0 9.729210e-12 5.621942e-06
3.5 7.372874e-05 8.192082e-05 0 2.482149e-13 6.438438e-07
3.6 2.063653e-04 2.292947e-04 0 6.182316e-15 6.606350e-08
3.7 4.433820e-04 4.926467e-04 0 1.525876e-16 6.222073e-09
3.8 7.592488e-04 8.436098e-04 0 3.774611e-18 5.483453e-10
3.9 1.068943e-03 1.187715e-03 0 9.440494e-20 4.592153e-11
4 1.269848e-03 1.410943e-03 0 2.403201e-21 3.700251e-12
4.1 1.300899e-03 1.445443e-03 0 6.258679e-23 2.897978e-13
4.2 1.170701e-03 1.300779e-03 0 1.674060e-24 2.224337e-14
4.3 9.401346e-04 1.044594e-03 0 4.612554e-26 1.684599e-15
4.4 6.828582e-04 7.587313e-04 0 1.312072e-27 1.265940e-16
4.5 4.538505e-04 5.042783e-04 0 3.859470e-29 9.483287e-18
4.6 2.788087e-04 3.097875e-04 0 1.175322e-30 7.108822e-19
4.7 1.597029e-04 1.774476e-04 0 3.708424e-32 5.349466e-20
4.8 8.595140e-05 9.550156e-05 0 1.212946e-33 4.051764e-21
4.9 4.375627e-05 4.861808e-05 0 4.113636e-35 3.095647e-22
5 2.119527e-05 2.355031e-05 0 1.446686e-36 2.390140e-23
5.1 9.820068e-06 1.091119e-05 0 5.275370e-38 1.867734e-24
5.2 4.371935e-06 4.857706e-06 0 1.994230e-39 1.479000e-25
5.3 1.878022e-06 2.086691e-06 0 7.812937e-41 1.188033e-26
5.4 7.812406e-07 8.680451e-07 0 3.171101e-42 9.688588e-28
5.5 3.157524e-07 3.508360e-07 0 1.332837e-43 8.027134e-29
5.6 1.243537e-07 1.381707e-07 0 5.798429e-45 6.760304e-30
5.7 4.784784e-08 5.316426e-08 0 2.609695e-46 5.789834e-31
5.8 1.802957e-08 2.003286e-08 0 1.214463e-47 5.044361e-32
5.9 6.667361e-09 7.408179e-09 0 5.840555e-49 4.471946e-33
6 2.424401e-09 2.693779e-09 0 2.901049e-50 4.034752e-34
6.1 8.683475e-10 9.648305e-10 0 1.487438e-51 3.705272e-35
6.2 3.068365e-10 3.409295e-10 0 7.867847e-53 3.463676e-36
6.3 1.071193e-10 1.190214e-10 0 4.290977e-54 3.295944e-37
6.4 3.699481e-11 4.110535e-11 0 2.411519e-55 3.192590e-38
6.5 1.265441e-11 1.406046e-11 0 1.395765e-56 3.147811e-39
6.6 4.291810e-12 4.768678e-12 0 8.315266e-58 3.158972e-40
6.7 1.444657e-12 1.605175e-12 0 5.096134e-59 3.226368e-41
6.8 4.830660e-13 5.367400e-13 0 3.211209e-60 3.353233e-42
6.9 1.605918e-13 1.784353e-13 0 2.079339e-61 3.546001e-43
7 5.311820e-14 5.902022e-14 0 1.382870e-62 3.814844e-44
Bobo croaker Other croakers Lesser Afr. threadfin Giant Afr. threadfin
1 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
2 1.338931e-84 5.187481e-85 3.722696e-83 4.278659e-92
2.1 1.680631e-58 6.511346e-59 1.182874e-57 6.957861e-65
2.2 5.442871e-43 2.108756e-43 1.445359e-42 1.387171e-48
2.3 1.116096e-32 4.324141e-33 1.391548e-32 1.164745e-37
2.4 2.282184e-25 8.841968e-26 1.534140e-25 7.535399e-30
2.5 5.718376e-20 2.215496e-20 2.280119e-20 4.999927e-24
2.6 7.157354e-16 2.773006e-16 1.815301e-16 1.454811e-19
2.7 1.053462e-12 4.081476e-13 1.792668e-13 4.506386e-16
2.8 3.175712e-10 1.230380e-10 3.781692e-11 2.643156e-13
2.9 2.858625e-08 1.107530e-08 2.464650e-09 4.344468e-11
3 1.002498e-06 3.884023e-07 6.436446e-08 2.639924e-09
3.1 1.662036e-05 6.439303e-06 8.136208e-07 7.257009e-08
3.2 1.504898e-04 5.830494e-05 5.731130e-06 1.049422e-06
3.3 8.307068e-04 3.218445e-04 2.504145e-05 8.957428e-06
3.4 3.044610e-03 1.179587e-03 7.375240e-05 4.935580e-05
3.5 7.924701e-03 3.070303e-03 1.563218e-04 1.884179e-04
3.6 1.545824e-02 5.989057e-03 2.512403e-04 5.273779e-04
3.7 2.360261e-02 9.144468e-03 3.193968e-04 1.133087e-03
3.8 2.923044e-02 1.132488e-02 3.324519e-04 1.940302e-03
3.9 3.023729e-02 1.171497e-02 2.915028e-04 2.731744e-03
4 2.677352e-02 1.037299e-02 2.204712e-04 3.245168e-03
4.1 2.071272e-02 8.024822e-03 1.467147e-04 3.324519e-03
4.2 1.424528e-02 5.519113e-03 8.735384e-05 2.991791e-03
4.3 8.839216e-03 3.424618e-03 4.720154e-05 2.402566e-03
4.4 5.011253e-03 1.941533e-03 2.343022e-05 1.745082e-03
4.5 2.624113e-03 1.016672e-03 1.079638e-05 1.159840e-03
4.6 1.281138e-03 4.963572e-04 4.659911e-06 7.125112e-04
4.7 5.879279e-04 2.277836e-04 1.898758e-06 4.081295e-04
4.8 2.554173e-04 9.895750e-05 7.353777e-07 2.196536e-04
4.9 1.056997e-04 4.095173e-05 2.723231e-07 1.118216e-04
5 4.189531e-05 1.623169e-05 9.693004e-08 5.416570e-05
5.1 1.598138e-05 6.191738e-06 3.331404e-08 2.509573e-05
5.2 5.892064e-06 2.282789e-06 1.110076e-08 1.117272e-05
5.3 2.107476e-06 8.165091e-07 3.599094e-09 4.799389e-06
5.4 7.337632e-07 2.842852e-07 1.139026e-09 1.996504e-06
5.5 2.494277e-07 9.663691e-08 3.528624e-10 8.069229e-07
5.6 8.300193e-08 3.215782e-08 1.072771e-10 3.177927e-07
5.7 2.710344e-08 1.050081e-08 3.207900e-11 1.222778e-07
5.8 8.703306e-09 3.371962e-09 9.454230e-12 4.607557e-08
5.9 2.753626e-09 1.066850e-09 2.751137e-12 1.703881e-08
6 8.598847e-10 3.331491e-10 7.917506e-13 6.195691e-09
6.1 2.654422e-10 1.028415e-10 2.256802e-13 2.219110e-09
6.2 8.111633e-11 3.142727e-11 6.379744e-14 7.841378e-10
6.3 2.457034e-11 9.519399e-12 1.790762e-14 2.737492e-10
6.4 7.385536e-12 2.861412e-12 4.996514e-15 9.454230e-11
6.5 2.205351e-12 8.544291e-13 1.387129e-15 3.233905e-11
6.6 6.548066e-13 2.536947e-13 3.835064e-16 1.096796e-11
6.7 1.934930e-13 7.496588e-14 1.056779e-16 3.691902e-12
6.8 5.694791e-14 2.206359e-14 2.904481e-17 1.234502e-12
6.9 1.670565e-14 6.472344e-15 7.967369e-18 4.104013e-13
7 4.887726e-15 1.893674e-15 2.182656e-18 1.357465e-13
Royal threadfin Seabream+ Sea catfish Mullets+ Grunts+
1 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
2 4.907077e-86 9.975086e-75 1.134066e-77 1.966896e-14 5.250045e-76
2.1 6.159381e-60 1.631511e-50 8.501117e-53 6.973950e-06 8.586901e-52
2.2 1.994769e-44 2.429338e-36 3.728012e-38 7.991143e-03 1.278599e-37
2.3 4.090404e-34 4.570341e-27 1.621074e-28 3.602148e-02 2.405443e-28
2.4 8.364024e-27 1.327302e-20 9.335195e-22 9.464872e-03 6.985800e-22
2.5 2.095740e-21 6.386054e-16 8.012153e-17 5.049058e-04 3.361081e-17
2.6 2.623114e-17 1.913876e-12 3.964341e-13 1.050246e-05 1.007303e-13
2.7 3.860856e-14 7.983572e-10 2.573446e-10 1.234145e-07 4.201880e-11
2.8 1.163873e-11 7.790937e-08 3.730025e-08 1.024375e-09 4.100493e-09
2.9 1.047664e-09 2.528139e-06 1.731166e-06 6.912513e-12 1.330599e-07
3 3.674075e-08 3.493044e-05 3.316083e-05 4.155328e-14 1.838444e-06
3.1 6.091233e-07 2.458306e-04 3.151937e-04 2.364928e-16 1.293845e-05
3.2 5.515332e-06 1.006858e-03 1.705111e-03 1.328013e-18 5.299255e-05
3.3 3.044475e-05 2.655557e-03 5.826959e-03 7.569180e-21 1.397661e-04
3.4 1.115826e-04 4.877469e-03 1.363702e-02 4.465067e-23 2.567089e-04
3.5 2.904341e-04 6.634328e-03 2.329047e-02 2.762949e-25 3.491752e-04
3.6 5.665324e-04 7.018429e-03 3.053694e-02 1.809944e-27 3.693910e-04
3.7 8.650172e-04 6.007267e-03 3.202037e-02 1.262906e-29 3.161720e-04
3.8 1.071273e-03 4.296209e-03 2.776357e-02 9.423471e-32 2.261163e-04
3.9 1.108173e-03 2.636110e-03 2.046031e-02 7.537400e-34 1.387426e-04
4 9.812283e-04 1.418570e-03 1.311162e-02 6.470561e-36 7.466155e-05
4.1 7.591048e-04 6.819026e-04 7.447533e-03 5.964141e-38 3.588961e-05
4.2 5.220782e-04 2.973672e-04 3.810502e-03 5.901339e-40 1.565090e-05
4.3 3.239503e-04 1.191931e-04 1.780352e-03 6.264241e-42 6.273320e-06
4.4 1.836585e-04 4.440617e-05 7.685155e-04 7.126586e-44 2.337167e-06
4.5 9.617166e-05 1.552464e-05 3.095789e-04 8.679024e-46 8.170863e-07
4.6 4.695271e-05 5.135218e-06 1.173846e-04 1.129924e-47 2.702746e-07
4.7 2.154710e-05 1.618619e-06 4.221022e-05 1.570300e-49 8.519045e-08
4.8 9.360845e-06 4.891699e-07 1.448818e-05 2.325997e-51 2.574578e-08
4.9 3.873813e-06 1.425085e-07 4.773785e-06 3.666484e-53 7.500446e-09
5 1.535430e-06 4.020961e-08 1.517478e-06 6.140724e-55 2.116295e-09
5.1 5.857050e-07 1.103364e-08 4.673998e-07 1.091023e-56 5.807177e-10
5.2 2.159395e-07 2.955173e-09 1.400335e-07 2.053124e-58 1.555354e-10
5.3 7.723735e-08 7.750197e-10 4.094773e-08 4.085968e-60 4.079051e-11
5.4 2.689184e-08 1.995893e-10 1.172170e-08 8.586552e-62 1.050470e-11
5.5 9.141329e-09 5.059946e-11 3.293646e-09 1.902598e-63 2.663130e-12
5.6 3.041956e-09 1.265629e-11 9.105916e-10 4.438711e-65 6.661207e-13
5.7 9.933196e-10 3.129540e-12 2.482299e-10 1.088787e-66 1.647126e-13
5.8 3.189693e-10 7.663654e-13 6.684877e-11 2.804255e-68 4.033502e-14
5.9 1.009182e-10 1.861481e-13 1.781479e-11 7.573774e-70 9.797268e-15
6 3.151410e-11 4.491199e-14 4.705206e-12 2.142282e-71 2.363789e-15
6.1 9.728247e-12 1.077697e-14 1.233340e-12 6.338378e-73 5.672091e-16
6.2 2.972850e-12 2.574868e-15 3.212391e-13 1.959307e-74 1.355194e-16
6.3 9.004837e-13 6.131683e-16 8.323347e-14 6.320526e-76 3.227202e-17
6.4 2.706741e-13 1.456696e-16 2.147468e-14 2.125449e-77 7.666819e-18
6.5 8.082438e-14 3.455257e-17 5.522133e-15 7.442724e-79 1.818556e-18
6.6 2.399815e-14 8.189110e-18 1.416425e-15 2.711131e-80 4.310058e-19
6.7 7.091367e-15 1.940565e-18 3.626665e-16 1.026302e-81 1.021350e-19
6.8 2.087096e-15 4.600622e-19 9.275538e-17 4.033576e-83 2.421380e-20
6.9 6.122488e-16 1.091787e-19 2.371108e-17 1.644350e-84 5.746248e-21
7 1.791313e-16 2.594809e-20 6.061531e-18 6.947039e-86 1.365689e-21
Soles+ L. demersal pred.eaters SM demersal pred.eaters
1 0.000000e+00 0.000000e+00 0.000000e+00
2 8.994636e-64 4.907077e-86 2.874776e-72
2.1 8.672154e-42 6.159381e-60 9.403994e-49
2.2 3.381802e-29 1.994769e-44 4.469785e-35
2.3 3.772332e-21 4.090404e-34 3.468000e-26
2.4 1.089181e-15 8.364024e-27 4.884311e-20
2.5 7.442773e-12 2.095740e-21 1.274477e-15
2.6 4.113082e-09 2.623114e-17 2.248143e-12
2.7 3.861867e-07 3.860856e-14 5.875783e-10
2.8 9.927598e-06 1.163873e-11 3.774257e-08
2.9 9.637703e-05 1.047664e-09 8.389600e-07
3 4.425144e-04 3.674075e-08 8.206330e-06
3.1 1.130391e-03 6.091233e-07 4.203379e-05
3.2 1.811606e-03 5.515332e-06 1.282860e-04
3.3 1.994711e-03 3.044475e-05 2.572956e-04
3.4 1.618234e-03 1.115826e-04 3.657765e-04
3.5 1.021615e-03 2.904341e-04 3.911199e-04
3.6 5.241231e-04 5.665324e-04 3.297765e-04
3.7 2.262408e-04 8.650172e-04 2.277469e-04
3.8 8.451488e-05 1.071273e-03 1.328735e-04
3.9 2.795947e-05 1.108173e-03 6.717523e-05
4 8.348655e-06 9.812283e-04 3.005400e-05
4.1 2.285922e-06 7.591048e-04 1.211003e-05
4.2 5.815802e-07 5.220782e-04 4.460148e-06
4.3 1.390272e-07 3.239503e-04 1.520323e-06
4.4 3.152313e-08 1.836585e-04 4.847492e-07
4.5 6.834155e-09 9.617166e-05 1.458936e-07
4.6 1.426420e-09 4.695271e-05 4.177158e-08
4.7 2.883212e-10 2.154710e-05 1.145444e-08
4.8 5.672538e-11 9.360845e-06 3.025852e-09
4.9 1.091081e-11 3.873813e-06 7.739334e-10
5 2.059538e-12 1.535430e-06 1.925141e-10
5.1 3.827846e-13 5.857050e-07 4.675255e-11
5.2 7.025325e-14 2.159395e-07 1.112262e-11
5.3 1.276446e-14 7.723735e-08 2.599959e-12
5.4 2.301038e-15 2.689184e-08 5.987264e-13
5.5 4.123574e-16 9.141329e-09 1.361461e-13
5.6 7.358577e-17 3.041956e-09 3.063327e-14
5.7 1.309593e-17 9.933196e-10 6.832651e-15
5.8 2.327431e-18 3.189693e-10 1.513214e-15
5.9 4.135446e-19 1.009182e-10 3.332394e-16
6 7.353955e-20 3.151410e-11 7.306667e-17
6.1 1.309991e-20 9.728247e-12 1.596947e-17
6.2 2.339452e-21 2.972850e-12 3.482715e-18
6.3 4.191480e-22 9.004837e-13 7.585822e-19
6.4 7.538781e-23 2.706741e-13 1.651594e-19
6.5 1.361936e-23 8.082438e-14 3.597005e-20
6.6 2.472558e-24 2.399815e-14 7.841592e-21
6.7 4.512932e-25 7.091367e-15 1.712186e-21
6.8 8.284354e-26 2.087096e-15 3.746388e-22
6.9 1.530000e-26 6.122488e-16 8.218588e-23
7 2.843705e-27 1.791313e-16 1.808383e-23
ML demers. invert.eaters S. demersal invert.eaters Bathy-dem pred.eaters
1 0.000000e+00 0.000000e+00 0.000000e+00
2 9.994040e-65 2.998212e-64 6.197082e-80
2.1 9.635727e-43 2.890718e-42 4.645419e-55
2.2 3.757557e-30 1.127267e-29 2.037165e-40
2.3 4.191480e-22 1.257444e-21 8.858330e-31
2.4 1.210201e-16 3.630602e-16 5.101199e-24
2.5 8.269748e-13 2.480924e-12 4.378226e-19
2.6 4.570091e-10 1.371027e-09 2.166307e-15
2.7 4.290964e-08 1.287289e-07 1.406255e-12
2.8 1.103066e-06 3.309199e-06 2.038265e-10
2.9 1.070856e-05 3.212568e-05 9.459925e-09
3 4.916827e-05 1.475048e-04 1.812067e-07
3.1 1.255990e-04 3.767970e-04 1.722370e-06
3.2 2.012896e-04 6.038688e-04 9.317549e-06
3.3 2.216346e-04 6.649038e-04 3.184130e-05
3.4 1.798037e-04 5.394112e-04 7.451923e-05
3.5 1.135127e-04 3.405382e-04 1.272703e-04
3.6 5.823590e-05 1.747077e-04 1.668685e-04
3.7 2.513787e-05 7.541361e-05 1.749747e-04
3.8 9.390542e-06 2.817163e-05 1.517135e-04
3.9 3.106607e-06 9.319822e-06 1.118049e-04
4 9.276283e-07 2.782885e-06 7.164818e-05
4.1 2.539913e-07 7.619740e-07 4.069690e-05
4.2 6.462003e-08 1.938601e-07 2.082241e-05
4.3 1.544747e-08 4.634241e-08 9.728698e-06
4.4 3.502570e-09 1.050771e-08 4.199538e-06
4.5 7.593506e-10 2.278052e-09 1.691688e-06
4.6 1.584912e-10 4.754735e-10 6.414457e-07
4.7 3.203569e-11 9.610707e-11 2.306569e-07
4.8 6.302820e-12 1.890846e-11 7.917037e-08
4.9 1.212312e-12 3.636937e-12 2.608626e-08
5 2.288375e-13 6.865125e-13 8.292231e-09
5.1 4.253163e-14 1.275949e-13 2.554097e-09
5.2 7.805916e-15 2.341775e-14 7.652105e-10
5.3 1.418273e-15 4.254820e-15 2.237581e-10
5.4 2.556709e-16 7.670128e-16 6.405301e-11
5.5 4.581749e-17 1.374525e-16 1.799807e-11
5.6 8.176197e-18 2.452859e-17 4.975910e-12
5.7 1.455104e-18 4.365311e-18 1.356447e-12
5.8 2.586035e-19 7.758104e-19 3.652938e-13
5.9 4.594940e-20 1.378482e-19 9.734858e-14
6 8.171061e-21 2.451318e-20 2.571151e-14
6.1 1.455546e-21 4.366637e-21 6.739561e-15
6.2 2.599391e-22 7.798173e-22 1.755405e-15
6.3 4.657200e-23 1.397160e-22 4.548277e-16
6.4 8.376423e-24 2.512927e-23 1.173480e-16
6.5 1.513262e-24 4.539785e-24 3.017559e-17
6.6 2.747287e-25 8.241861e-25 7.740027e-18
6.7 5.014369e-26 1.504311e-25 1.981784e-18
6.8 9.204838e-27 2.761451e-26 5.068600e-19
6.9 1.700000e-27 5.100000e-27 1.295687e-19
7 3.159672e-28 9.479016e-28 3.312312e-20
Bathy-dem invert.eaters Crustacea Cephalopods Benthos Large zooplankton
1 0.000000e+00 0 0 0 0
2 1.437388e-72 0 0 0 0
2.1 4.701997e-49 0 0 0 0
2.2 2.234892e-35 0 0 0 0
2.3 1.734000e-26 0 0 0 0
2.4 2.442156e-20 0 0 0 0
2.5 6.372385e-16 0 0 0 0
2.6 1.124071e-12 0 0 0 0
2.7 2.937892e-10 0 0 0 0
2.8 1.887128e-08 0 0 0 0
2.9 4.194800e-07 0 0 0 0
3 4.103165e-06 0 0 0 0
3.1 2.101689e-05 0 0 0 0
3.2 6.414298e-05 0 0 0 0
3.3 1.286478e-04 0 0 0 0
3.4 1.828883e-04 0 0 0 0
3.5 1.955599e-04 0 0 0 0
3.6 1.648883e-04 0 0 0 0
3.7 1.138735e-04 0 0 0 0
3.8 6.643677e-05 0 0 0 0
3.9 3.358761e-05 0 0 0 0
4 1.502700e-05 0 0 0 0
4.1 6.055017e-06 0 0 0 0
4.2 2.230074e-06 0 0 0 0
4.3 7.601615e-07 0 0 0 0
4.4 2.423746e-07 0 0 0 0
4.5 7.294681e-08 0 0 0 0
4.6 2.088579e-08 0 0 0 0
4.7 5.727222e-09 0 0 0 0
4.8 1.512926e-09 0 0 0 0
4.9 3.869667e-10 0 0 0 0
5 9.625703e-11 0 0 0 0
5.1 2.337627e-11 0 0 0 0
5.2 5.561312e-12 0 0 0 0
5.3 1.299980e-12 0 0 0 0
5.4 2.993632e-13 0 0 0 0
5.5 6.807303e-14 0 0 0 0
5.6 1.531664e-14 0 0 0 0
5.7 3.416326e-15 0 0 0 0
5.8 7.566068e-16 0 0 0 0
5.9 1.666197e-16 0 0 0 0
6 3.653333e-17 0 0 0 0
6.1 7.984735e-18 0 0 0 0
6.2 1.741358e-18 0 0 0 0
6.3 3.792911e-19 0 0 0 0
6.4 8.257968e-20 0 0 0 0
6.5 1.798503e-20 0 0 0 0
6.6 3.920796e-21 0 0 0 0
6.7 8.560930e-22 0 0 0 0
6.8 1.873194e-22 0 0 0 0
6.9 4.109294e-23 0 0 0 0
7 9.041916e-24 0 0 0 0
Small zooplankton Primary producers Detritus
1 0 0 0
2 0 0 0
2.1 0 0 0
2.2 0 0 0
2.3 0 0 0
2.4 0 0 0
2.5 0 0 0
2.6 0 0 0
2.7 0 0 0
2.8 0 0 0
2.9 0 0 0
3 0 0 0
3.1 0 0 0
3.2 0 0 0
3.3 0 0 0
3.4 0 0 0
3.5 0 0 0
3.6 0 0 0
3.7 0 0 0
3.8 0 0 0
3.9 0 0 0
4 0 0 0
4.1 0 0 0
4.2 0 0 0
4.3 0 0 0
4.4 0 0 0
4.5 0 0 0
4.6 0 0 0
4.7 0 0 0
4.8