Estimation of badger abundance using faecal DNA typing

Wilson, GJ, Frantz, AC, Pope, LC, Roper, TJ, Burke, TA, Cheeseman, CL and Delahay, RJ (2003) Estimation of badger abundance using faecal DNA typing. Journal of Applied Ecology, 40 4: 658-666. doi:10.1046/j.1365-2664.2003.00835.x


Author Wilson, GJ
Frantz, AC
Pope, LC
Roper, TJ
Burke, TA
Cheeseman, CL
Delahay, RJ
Title Estimation of badger abundance using faecal DNA typing
Journal name Journal of Applied Ecology   Check publisher's open access policy
ISSN 0021-8901
Publication date 2003-08-01
Year available 2003
Sub-type Article (original research)
DOI 10.1046/j.1365-2664.2003.00835.x
Open Access Status Not yet assessed
Volume 40
Issue 4
Start page 658
End page 666
Total pages 9
Place of publication OXFORD
Publisher BLACKWELL PUBLISHING LTD
Language eng
Abstract 1. Wildlife management and conservation programmes often require accurate information on population density, but this can be difficult to obtain, particularly when the species in question is nocturnal or cryptic. Badger populations in Britain are of intense management interest because they are a wildlife reservoir host of bovine tuberculosis (TB). Attempts to manage this infection in badgers, whether by population control or vaccination, require reliable methods of estimating population size. In addition, such estimates are also required to support research into badger ecology and TB epidemiology. Currently, the most accurate estimates of local badger population size are obtained from labour-intensive and time-consuming mark-recapture studies.
Keyword molecular scatology
population size
survey technique
South-West England
Meles-Meles
Mycobacterium-Bovis
Woodchester-Park
Latrine Use
Population
Density
Feces
Marking
Size
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: ResearcherID Downloads - Archived
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 50 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 53 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 14 Nov 2013, 02:52:45 EST by System User