Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/26506
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Macpherson, Morag | en_UK |
dc.contributor.author | Davidson, Ross S | en_UK |
dc.contributor.author | Duncan, Dugald B | en_UK |
dc.contributor.author | Lurz, Peter W | en_UK |
dc.contributor.author | Jarrott, Andrew | en_UK |
dc.contributor.author | White, Andrew | en_UK |
dc.date.accessioned | 2018-01-16T02:26:46Z | - |
dc.date.available | 2018-01-16T02:26:46Z | - |
dc.date.issued | 2016-02 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/26506 | - |
dc.description.abstract | Emerging infectious diseases are a substantial threat to native populations. The spread of disease through naive native populations will depend on both demographic and disease parameters, as well as on habitat suitability and connectivity. Using the potential spread of squirrelpox virus (SQPV) on the Isle of Arran as a case study, we develop mathematical models to examine the impact of an emerging disease on a population in a complex landscape of different habitat types. Furthermore, by considering a range of disease parameters, we infer more generally how complex landscapes interact with disease characteristics to determine the spread and persistence of disease. Specific findings indicate that a SQPV outbreak on Arran is likely to be short lived and localized to the point of introduction allowing recovery of red squirrels to pre-infection densities; this has important consequences for the conservation of red squirrels. More generally, we find that the extent of disease spread is dependent on the rare passage of infection through poor quality corridors connecting good quality habitats. Acute, highly transmissible infectious diseases are predicted to spread rapidly causing high mortality. Nonetheless, the disease typically fades out following local epidemics and is not supported in the long term. A chronic infectious disease is predicted to spread more slowly but can remain endemic in the population. This allows the disease to spread more extensively in the long term as it increases the chance of spread between poorly connected populations. Our results highlight how a detailed understanding of landscape connectivity is crucial when considering conservation strategies to protect native species from disease threats. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | Wiley-Blackwell for the Zoological Society of London | en_UK |
dc.relation | Macpherson M, Davidson RS, Duncan DB, Lurz PW, Jarrott A & White A (2016) Incorporating habitat distribution in wildlife disease models: conservation implications for the threat of squirrelpox on the Isle of Arran. Animal Conservation, 19 (1), pp. 3-14. https://doi.org/10.1111/acv.12219 | en_UK |
dc.rights | This is the peer reviewed version of the following article: Macpherson, M. F., Davidson, R. S., Duncan, D. B., Lurz, P. W., Jarrott, A. and White, A. (2016), Incorporating habitat distribution in wildlife disease models: conservation implications for the threat of squirrelpox on the Isle of Arran. Animal Conservation, 19: 3–14, which has been published in final form at https://doi.org/10.1111/acv.12219. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving. | en_UK |
dc.subject | emerging infectious disease | en_UK |
dc.subject | disease spread | en_UK |
dc.subject | squirrelpox | en_UK |
dc.subject | spatial disease model | en_UK |
dc.subject | complex landscapes | en_UK |
dc.title | Incorporating habitat distribution in wildlife disease models: conservation implications for the threat of squirrelpox on the Isle of Arran | en_UK |
dc.type | Journal Article | en_UK |
dc.identifier.doi | 10.1111/acv.12219 | en_UK |
dc.citation.jtitle | Animal Conservation | en_UK |
dc.citation.issn | 1469-1795 | en_UK |
dc.citation.issn | 1367-9430 | en_UK |
dc.citation.volume | 19 | en_UK |
dc.citation.issue | 1 | en_UK |
dc.citation.spage | 3 | en_UK |
dc.citation.epage | 14 | en_UK |
dc.citation.publicationstatus | Published | en_UK |
dc.citation.peerreviewed | Refereed | en_UK |
dc.type.status | AM - Accepted Manuscript | en_UK |
dc.citation.date | 23/07/2015 | en_UK |
dc.contributor.affiliation | Mathematics | en_UK |
dc.contributor.affiliation | Scotland's Rural College (SRUC) | en_UK |
dc.contributor.affiliation | Heriot-Watt University | en_UK |
dc.contributor.affiliation | University of Edinburgh | en_UK |
dc.contributor.affiliation | Forestry Commission Scotland | en_UK |
dc.contributor.affiliation | Heriot-Watt University | en_UK |
dc.identifier.isi | WOS:000369174200002 | en_UK |
dc.identifier.scopusid | 2-s2.0-84956610668 | en_UK |
dc.identifier.wtid | 506092 | en_UK |
dc.contributor.orcid | 0000-0002-0467-8105 | en_UK |
dc.date.accepted | 2015-06-10 | en_UK |
dcterms.dateAccepted | 2015-06-10 | en_UK |
dc.date.filedepositdate | 2018-01-12 | en_UK |
rioxxterms.apc | not required | en_UK |
rioxxterms.type | Journal Article/Review | en_UK |
rioxxterms.version | AM | en_UK |
local.rioxx.author | Macpherson, Morag|0000-0002-0467-8105 | en_UK |
local.rioxx.author | Davidson, Ross S| | en_UK |
local.rioxx.author | Duncan, Dugald B| | en_UK |
local.rioxx.author | Lurz, Peter W| | en_UK |
local.rioxx.author | Jarrott, Andrew| | en_UK |
local.rioxx.author | White, Andrew| | en_UK |
local.rioxx.project | Internal Project|University of Stirling|https://isni.org/isni/0000000122484331 | en_UK |
local.rioxx.freetoreaddate | 2018-01-12 | en_UK |
local.rioxx.licence | http://www.rioxx.net/licenses/all-rights-reserved|2018-01-12| | en_UK |
local.rioxx.filename | 8977986.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 1367-9430 | en_UK |
Appears in Collections: | Computing Science and Mathematics Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
8977986.pdf | Fulltext - Accepted Version | 968.48 kB | Adobe PDF | View/Open |
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.