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NAME

r.fidimo - Calculating fish dispersal in a river network from source populations with species specific dispersal parameters

KEYWORDS

Fish Dispersal Model

SYNOPSIS

r.fidimo
r.fidimo --help
r.fidimo [-bar] [river=string] [coors=x,y] [barriers=string] [passability_col=name] [n_source=number[%]] [source_populations=string] [species=string] [l=integer] [ar=float] [t=integer] [p=float] [habitat_attract=string] [habitat_p=string] [truncation=string] [seed1=integer] [seed2=integer] [output=name] [statistical_interval=name] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-b
Don't keep basic vector maps (source_points, barriers)
-a
Keep all temporal vector and raster maps
-r
Source population input are real fish counts per cell. Backtransformation into fish counts will be performed.
--overwrite
Allow output files to overwrite existing files
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog

Parameters:

river=string
River network (raster, e.g. output from r.watershed)
coors=x,y
River networks' outlet coordinates: E,N
barriers=string
Barrier point file (vector map)
passability_col=name
Column name indicating passability value (0-1) of barrier
n_source=number[%]
Either: Number of random cells with source populations
source_populations=string
Or: Source population raster (relative or absolute occurence)
species=string
Select fish species
Options: Custom species, Catostomus commersoni, Moxostoma duquesnii, Moxostoma erythrurum, Ambloplites rupestris, Lepomis auritus, Lepomis cyanellus, Lepomis macrochirus, Lepomis megalotis, Micropterus dolomieui, Micropterus punctulatus, Micropterus salmoides, Pomoxis annularis, Cottus bairdii, Cottus gobio, Abramis brama, Barbus barbus, Cyprinus carpio carpio, Gobio gobio, Leuciscus idus, Rutilus rutilus, Squalius cephalus, Tinca tinca, Esox lucius, Fundulus heteroclitus heteroclitus, Ameiurus natalis, Ictalurus punctatus, Morone americana, Etheostoma flabellare, Etheostoma nigrum, Perca fluviatilis, Percina nigrofasciata, Sander lucioperca, Oncorhynchus mykiss, Oncorhynchus gilae, Salmo salar, Salmo trutta fario, Salvelinus fontinalis, Salvelinus malma malma, Thymallus thymallus, Aplodinotus grunniens, Salmo trutta, Gobio gobio, Rutilus rutilus
l=integer
Fish Length [mm] (If no species is given, range=39-810)
ar=float
Aspect Ratio of Caudal Fin (If no species is given) (valid range 0.51 - 2.29)
t=integer
Time interval for model step [d]
Options: 1-3650
Default: 30
p=float
Share of the stationary component (valid range 0 - 1)
Default: 0.67
habitat_attract=string
Attractiveness of habitat used as weighting factor (sink effect, habitat-dependent dispersal)
habitat_p=string
Spatially varying and habitat-dependent p factor (float: 0-1, source effect, habitat-dependent dispersal)
truncation=string
kernel truncation criterion (precision)
Options: 0.9, 0.95, 0.99, 0.995, 0.999, 0.99999, 0.999999999, inf
Default: 0.99
seed1=integer
fixed seed for generating dispersal parameters
seed2=integer
fixed seed for multinomial realisation step
output=name
Base name for output raster
Default: fidimo_out
statistical_interval=name
Statistical Intervals
Options: no, Confidence Interval, Prediction Interval, Random Value within Confidence Interval
Default: no

Table of contents

NAME

r.fidimo performs analysis of fish dispersal based on leptokurtic dispersal kernels. It calculates fish dispersal along river corridors based on a users stream network input, fish source populations and species-specific dispersal parameters.

OPTIONS

Stream parameters

river
Name of input stream network map (thinned raster map) on which the calculations of dispersal is performed. In cases of very maeandering rivers (with bends narrower than the spatial resolution of the analyis (cell size) it is recommended to run v.generalize and r.thin and/or to use r.fidimo.river in advance. The stream network should only consist of tree like structures, as braiding rivers and networks with two-side connected side arms will not work. Check the raster beforehand carefully!
outflow_point
Name of the outflow point txt-file (single point) for the calculation of the flow direction within the provided river network. The text-file must only contain a single |-separeted coordinate pair (X|Y; same coordinate system as the river network raster). The file should not contain any headings etc. E.g the content of the file can look like:
545287.44|1942020.18
barriers
Name of input barrier text-file indicating the geographical position and passability of barriers e.g. weirs. The file should contain the X and Y coordinate and a value for passability (0-1 where 0 is impassable and 1 is 100% passable). The values must be |-separated:
3543350.8001|6064831.9001|1
3535061.5179|6064457.5321|0.3

Source populations

The source populations can be provided either as random points (flag -r), or as fixed source population raster (flag -f).
n_source
For the random locations; number or percentage of cells containing source populations. The model selects randomly cell (number specified by the user) and assigns a starting density of 1 to each occupied cell.
source_populations
Input raster map indicating the starting density per cell. All cells with densities > 0 will act as source populations for the model. The raster map must have the resolution as the river raster and all source population cells must also be part of the river raster.

Dispersal parameters

species
Selected species with predefined L and AR (see R-package 'fishmove').
L
Length of fish which should be modelled. Increasing L is positively correlated with larger dispersal distances. Setting L will overwrite any species-settings (see R-package 'fishmove').
AR
Aspect ratio of the caudal fin of a fish which should be modelled. Increasing AR is positively correlated with larger dispersal distances. etting AR will overwrite any species-settings (see R-package 'fishmove').
T
Time interval for one modelling step. The dispersal kernel is time dependent and increasing T is positively correlated with larger dispersal istances (see R-package 'fishmove').
p
Share of the stationary component of the population. The value is set to 0.67 by default (my Paper).

Output

output
The base name of the output file(s). The output raster files will be %output%_fit respectively %output%_lwr and %output%_upr if a statistical interval is set.
statistical_interval
Statistical interval (confidence or prediction) derived from the regression analyis (see R-package 'fishmove'). If a statistical interval is set, three output maps will be created (fit, lwr and upr).

Dependencies

SEE ALSO

r.stream.order, r.watershed

REFERENCES

Fidimo-paper

AUTHOR

Johannes Radinger, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin (Germany)

Last changed: (Mo, Sept 20, 2011)

SOURCE CODE

Available at: r.fidimo source code (history)


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