FIDIMO

### The most recent version of  FIDIMO for GRASS6.x can be downloaded here ###

Please carefully read the installation notes about software prerequisites and FIDIMO installation first.
Your ideas for improving FIDIMO and your feedback is mostly welcome. Please contact me if you have any questions regarding FIDIMO and its use via email.

# Why model fish dispersal?

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There is increasing evidence that even restoration measures which lead to an increase in local habitat diversity had no positive effect on river biota, yet. This might be simply due to the fact that fish and invertebrates were not able to reach and colonize the restored river in an engineering time frame.

The presence of barriers like dams obviously determines if a restored reach can be colonized, which is already considered in most River Basin Management Plans. Moreover, the presence and distance of source populations and many other factors influencing fish movement determine if a restored reach can be colonized and how long it takes (e.g. habitat requirements, population size).

FIDIMO [1] is developed within the scope of the project IMPACT (Developing an integrated model to predict abiotic habitat conditions and biota of rivers for application in climate change research and water management) to predict fish movement and dispersal and to assess the (re)-colonization potential.

# Modelling approach

The functionality and possible future application of FIDIMO are extensively discussed
in “Radinger et. al (2013) – FIDIMO – A Free and Open Source GIS based dispersal model for riverine fish. Ecological Informatics.”

Leptokurtic Dispersal Kernel

Fig. 1: Example of a leptokurtic dispersal kernel, with typical high peak and fat tails, used as diffusion function in FIDIMO

Challenges:

  • Fish movement is restricted to the dentritic river corridor [2]
  • A fish population consists of stationary and mobile components which can be mathematically described best by a leptokurtic dispersal function [3] (see Fig. 1)

FIDIMO links GRASS GIS with the open source Python programming language. The moving component is split at each river junction according to the size of the river.

Model input

  • River network of interest in GIS raster format
  • The presence and location of source populations. Species distribution models can be used in a preliminary analysis to model the presence of species
  • Dispersal function with uncertainties based on empirical data
  • Optionally, the location and passability of barriers can be incorporated

# Model output

Model output as probability of occurrence after the modelled time steps (see Fig. 2). Based on the results it is possible to assess if and how many individuals will probably reach a restored section in a given time.
Future applications:

  • Assessing colonization of restored river reaches
  • Assessment of the effects of weir removal
  • Estimating recovery times of fish populations
  • Predicting the spread of invasive fish species
  • Assessment of the maximum distance between restored reaches acting as stepping-stones for meta-populations
FIDIMO output

Fig. 2: FIDIMO output map showing probability of occurence per grid cell

# References

[1] Radinger, J., Kail, J. and Wolter, C. (2013) FIDIMO – A Free and Open Source GIS based dispersal model for riverine fish. Ecological Informatics 1–10. DOI: 10.1016/j.ecoinf.2013.06.002
[2] Grant, E. H. C., Lowe, W. H., & Fagan, W. F. (2007). Living in the branches: population dynamics and ecological processes in dendritic networks. Ecology Letters, 10(2), 165-75.
[3] Skalski, G. T., & Gilliam, J. F. (2000). Modeling Diffusive Spread in a Heterogeneous Population: a Movement Study With Stream Fish. Ecology, 81(6), 1685-1700.

# How to cite

Please cite FIDIMO and GRASS when using the software in your work:

  • Radinger J, Kail J, Wolter C (2013). FIDIMO – A Free and Open Source GIS based dispersal model for riverine fish. Ecological Informatics. 1-10. DOI: 10.1016/j.ecoinf.2013.06.002
  • GRASS Development Team, 2008. Geographic Resources Analysis Support System (GRASS) Software. Open Source Geospatial Foundation Project. http://grass.osgeo.org

Cite FIDIMO via BibTeX:

@article{Radinger2013,
author = {Johannes Radinger},
title = {{FIDIMO – A Free and Open Source GIS based dispersal model for riverine fish}},
journal = {Ecological Informatics}
year = {2013}}

# Open source

FIDIMO, GRASS GIS and Python are free and open source programs. For legal notices have a look at the corresponding webpages.

# Funding

FIDIMO is developed within the scope of the project IMPACT (Developing an integrated model to predict abiotic habitat conditions and biota of rivers for application in climate change research and water management).
The overall project IMPACT is carried out with financial support from the Commission of the European Communities, specific RTD programme “IWRMNET”. It does not necessarily reflects its views and in no way anticipates the Commission’s future policy in this area.
This project is partly funded by the German Federal Ministry for Education and Research (grant number 02WM1134).

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