Journal article
Management of invading pathogens should be informed by epidemiology rather than administrative boundaries
- Abstract:
- Plant and animal disease outbreaks have significant ecological and economic impacts. The spatial extent of control is often informed solely by administrative geography – for example, quarantine of an entire county or state once an invading disease is detected – with little regard for pathogen epidemiology. We present a stochastic model for the spread of a plant pathogen that couples spread in the natural environment and transmission via the nursery trade, and use it to illustrate that control deployed according to administrative boundaries is almost always sub-optimal. We use sudden oak death (caused by Phytophthora ramorum) in mixed forests in California as motivation for our study, since the decision as to whether or not to deploy plant trade quarantine is currently undertaken on a county-by-county basis for that system. However, our key conclusion is applicable more generally: basing management of any disease entirely upon administrative borders does not balance the cost of control with the possible economic and ecological costs of further spread in the optimal fashion.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.2MB, Terms of use)
-
- Publisher copy:
- 10.1016/j.ecolmodel.2015.12.014
Authors
+ Biotechnology and Biological Sciences Research Council
More from this funder
- Funding agency for:
- Thompson, R
- Grant:
- Studentship
- Publisher:
- Elsevier
- Journal:
- Ecological Modelling More from this journal
- Volume:
- 324
- Pages:
- 28-32
- Publication date:
- 2016-01-01
- Acceptance date:
- 2015-12-24
- DOI:
- ISSN:
-
0304-3800
- Keywords:
- Pubs id:
-
pubs:613945
- UUID:
-
uuid:58a6ba69-64e6-461c-a342-075aca5ab0b7
- Local pid:
-
pubs:613945
- Source identifiers:
-
613945
- Deposit date:
-
2016-04-08
Terms of use
- Copyright holder:
- Thompson et al
- Copyright date:
- 2016
- Notes:
- © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record