BGS Hosted Metadata
Simulations of Emerald Ash Borer (EAB) spread in Great Britain with optimised surveillance
This dataset contains a model, input data and outputs of the Emerald Ash Borer (EAB; Agrilus planipennis) lifecycle and spread across Great Britain. Nine different scenarios are considered related to how certain we are that EAB will arrive through known pathways related to wood imports (70%, 50%, 30%) and the probability that EAB would escape at port rather than at the onwards depots (25%, 50%, 75%). The model outputs can be used to predict the best places to locate surveillance technologies (i.e., girdled trees or traps) and included in this dataset are optimised trap locations for 27 scenarios (three trapping types for each of the nine different scenarios). Full details about this dataset can be found at https://doi.org/10.5285/6209742a-bfd6-4fbc-9b40-29d7d75d57b4
Simple
- Date (Publication)
- 2024-02-27
- Citation identifier
- https://catalogue.ceh.ac.uk/id/6209742a-bfd6-4fbc-9b40-29d7d75d57b4
- Citation identifier
- doi: / 10.5285/6209742a-bfd6-4fbc-9b40-29d7d75d57b4
- Other citation details
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Milne, A., Alonso Chavez, V., Brown, N., Parnell, S. (2024). Simulations of Emerald Ash Borer (EAB) spread in Great Britain with optimised surveillance. NERC EDS Environmental Information Data Centre 10.5285/6209742a-bfd6-4fbc-9b40-29d7d75d57b4
- Point of contact
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Organisation name Individual name Electronic mail address Role Rothamsted Research Milne, A. Author Rothamsted Research Alonso Chavez, V. Author Forest Research Brown, N. Author University of Warwick Parnell, S. Author Rothamsted Research Milne, A. Point of contact Rothamsted Research Owner NERC EDS Environmental Information Data Centre Custodian NERC EDS Environmental Information Data Centre Publisher
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GEMET - INSPIRE themes, version 1.0
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Environmental Monitoring Facilities
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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If you reuse this data, you should cite: Milne, A., Alonso Chavez, V., Brown, N., Parnell, S. (2024). Simulations of Emerald Ash Borer (EAB) spread in Great Britain with optimised surveillance. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/6209742a-bfd6-4fbc-9b40-29d7d75d57b4
- Spatial representation type
- Text, table
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
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Name Version CPP
Comma-separated values (CSV)
Text file (.txt)
Header file (.h)
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://catalogue.ceh.ac.uk/datastore/eidchub/6209742a-bfd6-4fbc-9b40-29d7d75d57b4 Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/6209742a-bfd6-4fbc-9b40-29d7d75d57b4.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- Date (Publication)
- 2010-12-08
- Statement
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The model requires the entry point to be initialized. We developed maps to identify the most likely first incursion point at locations across Great Britain on a 1km x 1km grid. These maps were informed by data from the forestry commission on likely entry points, and data on firewood use. When creating these maps, we considered nine scenarios related to how certain we are that EAB will arrive through known pathways related to wood imports (70%, 50%, 30%) and the probability that EAB would escape at port rather than at the onwards depots (25%, 50%, 75%). For each scenario we sampled 10000 realizations for likely entry points. These form the inputs to our model. The model is set up to run for annual time steps for 8 years. For each simulated year the larval density and tree health is recorded in infested cells and reported in output files. The model is currently set up to do this for up to 10000 realizations of entry point. The data in the output file can then be used to optimize surveillance. We did this using simulated annealing for three trapping types (Girdled, sticky straps and under bark sampling) in the nine different scenarios. The model code was developed in Visual Studio, but plain text files have been provided so that the code can be compiled and run outside of Visual Studio. The model code was checked for errors and the outputs were validated, as far as possible, against spread characteristics from the US.
Metadata
- File identifier
- 6209742a-bfd6-4fbc-9b40-29d7d75d57b4 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T12:34:23
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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