https://github.com/ecodynizw/kuerschner_2021_ecolevol

"Movement can mediate temporal mismatches between resource availability and biological events in host–pathogen interactions"
https://github.com/ecodynizw/kuerschner_2021_ecolevol

agent-based-modeling animal-movement autocorrelation csf disease disease-spread netlogo rstats spatially-explicit-models spatiotemporal-dynamics wild-boar

Last synced: 26 days ago
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"Movement can mediate temporal mismatches between resource availability and biological events in host–pathogen interactions"

• Host: GitHub
• URL: https://github.com/ecodynizw/kuerschner_2021_ecolevol
• Owner: EcoDynIZW
• Created: 2021-03-10T15:59:44.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-10-09T11:39:02.000Z (over 1 year ago)
• Last Synced: 2024-11-06T17:38:37.413Z (2 months ago)
• Topics: agent-based-modeling, animal-movement, autocorrelation, csf, disease, disease-spread, netlogo, rstats, spatially-explicit-models, spatiotemporal-dynamics, wild-boar
• Language: NetLogo
• Homepage: https://doi.org/10.1002/ece3.7478
• Size: 1.65 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Kürschner et al. (2021) *Ecology and Evolution*

[![DOI](https://zenodo.org/badge/177115379.svg)](https://zenodo.org/badge/latestdoi/177115379)  

> **Tobias Kürschner**, **Cédric Scherer**, **Viktoriia Radchuk**, Niels Blaum & **Stephanie Kramer-Schadt** (2021):

Movement can mediate temporal mismatches between resource availability and biological events in host–pathogen interactions. *Ecology and Evolution* 11(10), 5728–5741, DOI: [10.1002/ece3.7478](https://doi.org/10.1002/ece3.7478)

We used a spatially explicit individual-based eco-epidemiological model originally developed by [Scherer et al. (2020)](https://doi.org/10.1111/oik.07002). It is based on earlier models considering neighbourhood infections only which was developed by [Kramer-Schadt et al. (2009)](https://doi.org/10.1111/j.1600-0706.2008.16582.x) and [Lange et al. (2012)](https://doi.org/10.1186/1297-9716-43-37). The model by [Scherer et al. (2020)](https://doi.org/10.1111/oik.07002) relies on individual movement decisions of host individuals, i.e. long-distance roaming movement of males (hereafter termed ‘movement’), a process important for disease transmission. We further modified the model by adding spatiotemporal landscape dynamics representing changing resource availability, a response of movement decisions to that landscape and a resource-based mortality. A complete and detailed model description following the modified ODD (Overview, Design concepts, Detail) protocol (Grimm et al., 2020, 2006) is provided in the supplementary material. The NetLogo model and the R code to analyse the simulation results are available on Zenodo [Kürschner et al. (2021)](https://doi.org/10.5281/zenodo.4593791)