Literature DB >> 24410133

Large-scale movements in European badgers: has the tail of the movement kernel been underestimated?

Andrew W Byrne1,2,3, John L Quinn2, James J O'Keeffe3,4, Stuart Green5, D Paddy Sleeman2, S Wayne Martin6, John Davenport2.   

Abstract

Characterizing patterns of animal movement is a major aim in population ecology, and yet doing so at an appropriate spatial scale remains a major challenge. Estimating the frequency and distances of movements is of particular importance when species are implicated in the transmission of zoonotic diseases. European badgers (Meles meles) are classically viewed as exhibiting limited dispersal, and yet their movements bring them into conflict with farmers due to their potential to spread bovine tuberculosis in parts of their range. Considerable uncertainty surrounds the movement potential of badgers, and this may be related to the spatial scale of previous empirical studies. We conducted a large-scale mark-recapture study (755 km(2); 2008-2012; 1935 capture events; 963 badgers) to investigate movement patterns in badgers, and undertook a comparative meta-analysis using published data from 15 European populations. The dispersal movement (>1 km) kernel followed an inverse power-law function, with a substantial 'tail' indicating the occurrence of rare long-distance dispersal attempts during the study period. The mean recorded distance from this distribution was 2.6 km, the 95 percentile was 7.3 km and the longest recorded was 22.1 km. Dispersal frequency distributions were significantly different between genders; males dispersed more frequently than females, but females made proportionally more long-distance dispersal attempts than males. We used a subsampling approach to demonstrate that the appropriate minimum spatial scale to characterize badger movements in our study population was 80 km(2), substantially larger than many previous badger studies. Furthermore, the meta-analysis indicated a significant association between maximum movement distance and study area size, while controlling for population density. Maximum long-distance movements were often only recorded by chance beyond the boundaries of study areas. These findings suggest that the tail of the badger movement distribution is currently underestimated. The implications of this for understanding the spatial ecology of badger populations and for the design of disease intervention strategies are potentially significant.
© 2014 The Authors. Journal of Animal Ecology © 2014 British Ecological Society.

Entities:  

Keywords:  Meles meles; bTB; bTB vaccination; culling; dispersal kernel; landscape scale; mark–recapture; sex‐biased dispersal; wildlife management

Mesh:

Year:  2014        PMID: 24410133     DOI: 10.1111/1365-2656.12197

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  13 in total

1.  Will Trespassers Be Prosecuted or Assessed According to Their Merits? A Consilient Interpretation of Territoriality in a Group-Living Carnivore, the European Badger (Meles meles).

Authors:  Helga V Tinnesand; Christina D Buesching; Michael J Noonan; Chris Newman; Andreas Zedrosser; Frank Rosell; David W Macdonald
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

2.  The population and landscape genetics of the European badger (Meles meles) in Ireland.

Authors:  Jimena Guerrero; Andrew W Byrne; John Lavery; Eleanor Presho; Gavin Kelly; Emily A Courcier; James O'Keeffe; Ursula Fogarty; Denise B O'Meara; Dennis Ensing; Carl McCormick; Roman Biek; Robin A Skuce; Adrian R Allen
Journal:  Ecol Evol       Date:  2018-09-12       Impact factor: 2.912

3.  Push and pull factors driving movement in a social mammal: context dependent behavioral plasticity at the landscape scale.

Authors:  Andrew W Byrne; James O'Keeffe; Christina D Buesching; Chris Newman
Journal:  Curr Zool       Date:  2018-11-28       Impact factor: 2.624

4.  Variation in Mycobacterium bovis genetic richness suggests that inwards cattle movements are a more important source of infection in beef herds than in dairy herds.

Authors:  M G Milne; J Graham; A Allen; C McCormick; E Presho; R Skuce; A W Byrne
Journal:  BMC Microbiol       Date:  2019-07-05       Impact factor: 3.605

5.  Species specialization limits movement ability and shapes ecological networks: the case study of 2 forest mammals.

Authors:  Olivia Dondina; Valerio Orioli; Gianpasquale Chiatante; Alberto Meriggi; Luciano Bani
Journal:  Curr Zool       Date:  2018-07-18       Impact factor: 2.624

6.  Dispersal patterns in a medium-density Irish badger population: Implications for understanding the dynamics of tuberculosis transmission.

Authors:  Aoibheann Gaughran; Teresa MacWhite; Enda Mullen; Peter Maher; David J Kelly; Margaret Good; Nicola M Marples
Journal:  Ecol Evol       Date:  2019-11-13       Impact factor: 2.912

7.  Mycobacterium bovis genomics reveals transmission of infection between cattle and deer in Ireland.

Authors:  Joseph Crispell; Sophie Cassidy; Kevin Kenny; Guy McGrath; Susan Warde; Henrietta Cameron; Gianluigi Rossi; Teresa MacWhite; Piran C L White; Samantha Lycett; Rowland R Kao; John Moriarty; Stephen V Gordon
Journal:  Microb Genom       Date:  2020-06-18

8.  Use of bacterial whole-genome sequencing to investigate local persistence and spread in bovine tuberculosis.

Authors:  Hannah Trewby; David Wright; Eleanor L Breadon; Samantha J Lycett; Tom R Mallon; Carl McCormick; Paul Johnson; Richard J Orton; Adrian R Allen; Julie Galbraith; Pawel Herzyk; Robin A Skuce; Roman Biek; Rowland R Kao
Journal:  Epidemics       Date:  2015-10-19       Impact factor: 4.396

9.  Extra Territorial Excursions by European badgers are not limited by age, sex or season.

Authors:  David J Kelly; Aoibheann Gaughran; Enda Mullen; Teresa MacWhite; Peter Maher; Margaret Good; Nicola M Marples
Journal:  Sci Rep       Date:  2020-06-15       Impact factor: 4.379

10.  Bovine tuberculosis breakdown duration in cattle herds: an investigation of herd, host, pathogen and wildlife risk factors.

Authors:  Georgina Milne; Adrian Allen; Jordon Graham; Angela Lahuerta-Marin; Carl McCormick; Eleanor Presho; Neil Reid; Robin Skuce; Andrew W Byrne
Journal:  PeerJ       Date:  2020-02-03       Impact factor: 2.984

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