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Identifying Dutch elm disease ‘danger-spots’ on the Isle of Manwith an agent-based model Bruce Mitchell a, Joana Barros b,Daniel Wendelc Email a: bruce.birkbeck@ntlworld.comb: j.barros@bbk.ac.ukc: djwendel@gmail.com 1
Suffolk, 1984 2
StarLogo TNG - code blocks 3
The Isle of Man in TNG SpaceLand 4
Objective Is there a relationship between where a beetle cluster originates and the number of agent elms that die? If so, might that relationship be used to map the island to reveal locations where an infestation might potentially be more or less damaging? 5
Isle of Man - Relief ,[object Object]
Landscape determineselm habitats
On Man, there is an ‘elm-line’ of ca. 160 metres a.s.l..
Two ranges of hills exceed this elevation, restricting the flow of the disease across the island
In the model, a ‘beetle-line’ was set at an arbitrary 25 % higher (200m) than the elm-line.The combination of DEM, elm-line and beetle-line places elevation at the model’s centre.  ,[object Object],6
A single model run … Sets up tree, beetle, forester, bird agents ‘Infects’ up to 1.5% of elms with beetles Runs an elm census at game turn (GT) 0 Generates a single beetle cluster Runs a beetle census at GT 60 Continues to GT 1,000 Exports results to .csv file Resets to GT 0 and introduces next run 7
Model agent flow chart 8
The agents 9
Model system flow chart 10
SL-TNG Output For each run: cluster originates in random location; number of elms surviving to GT1000 varies .csv run results ported to MapInfo and SPSS for processing, then transferred to ArcGIS Spatial Analyst 11
12 RCNS Calculation – step one
13 RCNS Calculation – step two
RCNS zones and regions 14
Data processing flowchart 15
Frequency of cell inclusion 16

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Modelling dutch elm disease on the isle of man

  • 1. Identifying Dutch elm disease ‘danger-spots’ on the Isle of Manwith an agent-based model Bruce Mitchell a, Joana Barros b,Daniel Wendelc Email a: bruce.birkbeck@ntlworld.comb: j.barros@bbk.ac.ukc: djwendel@gmail.com 1
  • 3. StarLogo TNG - code blocks 3
  • 4. The Isle of Man in TNG SpaceLand 4
  • 5. Objective Is there a relationship between where a beetle cluster originates and the number of agent elms that die? If so, might that relationship be used to map the island to reveal locations where an infestation might potentially be more or less damaging? 5
  • 6.
  • 8. On Man, there is an ‘elm-line’ of ca. 160 metres a.s.l..
  • 9. Two ranges of hills exceed this elevation, restricting the flow of the disease across the island
  • 10.
  • 11. A single model run … Sets up tree, beetle, forester, bird agents ‘Infects’ up to 1.5% of elms with beetles Runs an elm census at game turn (GT) 0 Generates a single beetle cluster Runs a beetle census at GT 60 Continues to GT 1,000 Exports results to .csv file Resets to GT 0 and introduces next run 7
  • 12. Model agent flow chart 8
  • 14. Model system flow chart 10
  • 15. SL-TNG Output For each run: cluster originates in random location; number of elms surviving to GT1000 varies .csv run results ported to MapInfo and SPSS for processing, then transferred to ArcGIS Spatial Analyst 11
  • 16. 12 RCNS Calculation – step one
  • 17. 13 RCNS Calculation – step two
  • 18. RCNS zones and regions 14
  • 20. Frequency of cell inclusion 16
  • 21. Cluster median centres and elm survival 17
  • 23. Identifying Dutch elm disease ‘danger-spots’ on the Isle of Manwith an agent-based model Bruce MitchellData Visualisation CentreMethodology DirectorateOffice for National Statistics bruce.mitchell@ons.gov.ukJoana Barros Department of Geography, Environment and Development Studies, Birkbeck, University of London, Malet Street, London, WC1E 7HX j.barros@bbk.ac.ukDaniel WendelLead StarLogo TNG DeveloperScheller Teacher Education Program Massachusetts Institute of TechnologyBoston, MA, USA djwendel@gmail.com  19
  • 24. 20