Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

The spore of the beans: Spatially explicit models predict coffee rust spread in fragmented landscapes

View ORCID ProfileE.M. Beasley, View ORCID ProfileN. Aristizábal, View ORCID ProfileE. Bueno, View ORCID ProfileE.R. White
doi: https://doi.org/10.1101/2020.10.16.343194
E.M. Beasley
1Department of Biology, University of Vermont, 109 Carrigan Dr., Burlington, VT 05405
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for E.M. Beasley
  • For correspondence: ebeasley@uvm.edu
N. Aristizábal
2Rubenstein School of Environment and Natural Resources, University of Vermont, 81 Carrigan Dr., Burlington, VT 05405
3Gund Institute for Environment, University of Vermont, 210 Colchester Ave., Burlington, VT 05405
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for N. Aristizábal
E. Bueno
4Department of Plant and Soil Science, University of Vermont, 63 Carrigan Dr., Burlington, VT 05405
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for E. Bueno
E.R. White
1Department of Biology, University of Vermont, 109 Carrigan Dr., Burlington, VT 05405
3Gund Institute for Environment, University of Vermont, 210 Colchester Ave., Burlington, VT 05405
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for E.R. White
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading

Abstract

Landscape structure influences the spread of plant pathogens, primarily by affecting pathogen dispersal. Coffee leaf rust (Hemileia vastatrix), a fungal disease that causes heavy economic losses in the coffee industry, is likely to be affected by landscape structure via dispersal of its wind-borne spores. Previous studies have found positive associations between leaf rust incidence and the proportion of pasture cover, suggesting that deforestation may facilitate rust spore dispersal. We explored this idea by modeling the spread of rust transmission in simulated landscapes. Specifically, we modeled within-patch transmission using a probabilistic cellular automata model, and between-patch transmission using a random walk with spore movement inhibited by forest canopy cover. We used this model to understand how the spread of coffee rust is affected by: 1) clustering of coffee plants, 2) clustering of deforestation, and 3) proportion of landscape deforestation. We found that clustering of coffee plants is the primary driver of rust transmission, affecting the likelihood and severity of rust outbreak. Deforestation is important in landscapes with high clustering of coffee: rust outbreaks are more severe in landscapes with a higher proportion of deforested areas, and more variable in landscapes where deforested areas are more evenly dispersed throughout the landscape.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/Beasley015/QuestCoffeeRustLandscape

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted October 17, 2020.
Download PDF
Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
The spore of the beans: Spatially explicit models predict coffee rust spread in fragmented landscapes
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
The spore of the beans: Spatially explicit models predict coffee rust spread in fragmented landscapes
E.M. Beasley, N. Aristizábal, E. Bueno, E.R. White
bioRxiv 2020.10.16.343194; doi: https://doi.org/10.1101/2020.10.16.343194
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
The spore of the beans: Spatially explicit models predict coffee rust spread in fragmented landscapes
E.M. Beasley, N. Aristizábal, E. Bueno, E.R. White
bioRxiv 2020.10.16.343194; doi: https://doi.org/10.1101/2020.10.16.343194

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Ecology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3609)
  • Biochemistry (7585)
  • Bioengineering (5533)
  • Bioinformatics (20825)
  • Biophysics (10344)
  • Cancer Biology (7995)
  • Cell Biology (11653)
  • Clinical Trials (138)
  • Developmental Biology (6617)
  • Ecology (10224)
  • Epidemiology (2065)
  • Evolutionary Biology (13639)
  • Genetics (9557)
  • Genomics (12856)
  • Immunology (7930)
  • Microbiology (19568)
  • Molecular Biology (7675)
  • Neuroscience (42182)
  • Paleontology (308)
  • Pathology (1259)
  • Pharmacology and Toxicology (2208)
  • Physiology (3271)
  • Plant Biology (7058)
  • Scientific Communication and Education (1295)
  • Synthetic Biology (1953)
  • Systems Biology (5433)
  • Zoology (1119)