READ ME File For 'River infrastructure and the spread of freshwater invasive species: inferences from an experimentally-parameterised individual-based model'

Dataset DOI: https://doi.org/10.5258/SOTON/D2552
Licence: CC-BY

ReadMe Author: JACK DANIELS, University of Southampton [ORCID ID: https://orcid.org/0000-0001-8205-0631]

This project was supported by the Engineering and Physical Sciences Research Council Centre for Doctoral Training in Sustainable Infrastructure Systems (EP/L01582X/1) and the European Horizon 2020 AMBER (Adaptive Management of Barriers in European Rivers) Project, Grant number: 689682.. 

This dataset supports the publication:
AUTHORS: Daniels, J.A., Kerr, J.R. & Kemp, P.S.
TITLE: River infrastructure and the spread of freshwater invasive species: inferences from an experimentally-parameterised individual-based model
JOURNAL: Journal of Applied Ecology
DOI: XXXXXXX

This ReadMe file describes the Data file accompanying the above publication. For any queries please contact j.a.daniels@soton.ac.uk. The dataset contains:
1. "Final Crayfish Data.xlsx" - Experimental data collected to determine the influence of signal crayfish population density on barrier passage behaviour.
2. "IBM_means.xlsx" - Outputs from the IBM showing the spread of signal crayfish (averaged over 100 model runs for each scenario).
3. "Crayfish_dispersal_v2.m" - MatLab code for the individual-based model to predict the spread of American signal crayfish.
4. "Run_DispersalModel.m" - MatLab code required to run the IBM.
4. "Run_DispersalModel_Clusters.m" - MatLab code required to run the IBM in parallel.


Information about geographic location of data collection: Boldrewood Innovation Campus (Southampton, UK).

Date that the file was created: 28/02/2023