14,517 research outputs found
Social group size affects Mycobacterium bovis infection in European badgers (Meles meles)
1. In most social animals, the prevalence of directly transmitted pathogens increases in larger groups and at higher population densities. Such patterns are predicted by models of Mycobacterium bovis infection in European badgers (Meles meles). 2. We investigated the relationship between badger abundance and M. bovis prevalence, using data on 2696 adult badgers in 10 populations sampled at the start of the Randomized Badger Culling Trial. 3. M. bovis prevalence was consistently higher at low badger densities and in small social groups. M. bovis prevalence was also higher among badgers whose genetic profiles suggested that they had immigrated into their assigned social groups. 4. The association between high M. bovis prevalence and small badger group size appeared not to have been caused by previous small-scale culling in study areas, which had been suspended, on average, 5 years before the start of the current study. 5. The observed pattern of prevalence might occur through badgers in smaller groups interacting more frequently with members of neighbouring groups; detailed behavioural data are needed to test this hypothesis. Likewise, longitudinal data are needed to determine whether the size of infected groups might be suppressed by disease-related mortality. 6. Although M. bovis prevalence was lower at high population densities, the absolute number of infected badgers was higher. However, this does not necessarily mean that the risk of M. bovis transmission to cattle is highest at high badger densities, since transmission risk depends on badger behaviour as well as on badger density
Effects of culling on badger abundance : implications for tuberculosis control
Culling is often considered as a tool for controlling wildlife diseases that can also infect people or livestock. Culling European badgers Meles meles can cause both positive and negative effects on the incidence of bovine tuberculosis (TB) in cattle. One factor likely to influence the outcome of different badger culling strategies for cattle TB is the reduction in badger population density achieved. However, this reduction is difficult to measure because badgers, being nocturnal and fossorial, are difficult to count. Here, we use indices of badger abundance to measure the population impacts of two culling strategies tested in Britain. The densities of badger setts and latrines recorded before culling were correlated with the densities of badgers captured on initial culls, suggesting that both were indices of actual badger abundance. Widespread 'proactive' culling was associated with a 73% reduction in the density of badger latrines, a 69% reduction in the density of active burrows and a 73% reduction in the density of road killed badgers. This population reduction was achieved by a coordinated effort entailing widespread and repeated trapping over several years. However, this strategy caused only modest reductions in cattle TB incidence in culled areas and elevated incidence in neighbouring unculled areas. Localized 'reactive' culling caused a 26% reduction in latrine density, a 32% reduction in active burrow density and a 10% reduction in the density of road killed badgers, but apparently increased the incidence of cattle TB. These results indicate that the relationship between badger population reduction and TB transmission to cattle is strongly non linear, probably because culling prompts changes in badger behaviour that influence transmission rates. These findings raise serious questions about the capacity of badger culling to contribute to the control of cattle TB in Britain
Coupling models of cattle and farms with models of badgers for predicting the dynamics of bovine tuberculosis (TB)
Bovine TB is a major problem for the agricultural industry in several
countries. TB can be contracted and spread by species other than cattle and
this can cause a problem for disease control. In the UK and Ireland, badgers
are a recognised reservoir of infection and there has been substantial
discussion about potential control strategies. We present a coupling of
individual based models of bovine TB in badgers and cattle, which aims to
capture the key details of the natural history of the disease and of both
species at approximately county scale. The model is spatially explicit it
follows a very large number of cattle and badgers on a different grid size for
each species and includes also winter housing. We show that the model can
replicate the reported dynamics of both cattle and badger populations as well
as the increasing prevalence of the disease in cattle. Parameter space used as
input in simulations was swept out using Latin hypercube sampling and
sensitivity analysis to model outputs was conducted using mixed effect models.
By exploring a large and computationally intensive parameter space we show that
of the available control strategies it is the frequency of TB testing and
whether or not winter housing is practised that have the most significant
effects on the number of infected cattle, with the effect of winter housing
becoming stronger as farm size increases. Whether badgers were culled or not
explained about 5%, while the accuracy of the test employed to detect infected
cattle explained less than 3% of the variance in the number of infected cattle
Estimation of badger abundance using faecal DNA typing
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. 2. In recent years, DNA has been successfully extracted from the faeces of certain mammals,
and used to generate a genetic profile of the defecating individual. Here we report on an application of this technology to estimate badger abundance.3.Faecal samples were collected on 10 consecutive days from every freshly deposited dropping at latrine sites close to occupied setts in three badger social groups. Badger
DNA was extracted from 89% of samples, and 20 different individuals were reliably identified. The genotypes derived from the faecal samples were compared with those
obtained from blood or samples from badgers live trapped at the same setts.4.The faecal genotypes from badgers with known trap histories revealed that latrines were used equally by males and females, and by badgers ranging in age from cubs(< 1 year old) to 9 years old. Individual badgers used the latrines on between one and six different nights. Rarefaction analysis produced abundance estimates that closely matched those obtained from live trapping.
5.Synthesis and applications. Systematic sampling and genetic typing of fresh faeces from badger latrines can provide data that can be used to estimate abundance accurately.This approach requires considerably less human resources than repeated live trapping
and mark–recapture. The technique may be valuable for future badger research and management in relation to bovine TB, where accurate estimates of abundance at a local
scale are required
Use of farm buildings by wild badgers: implications for the transmission of bovine tuberculosis
Diseases transmitted from wildlife to livestock or people may be managed more effectively if it is known where transmission occurs. In Britain, farm buildings have been proposed as important sites of Mycobacterium bovis transmission between wild badgers (Meles meles) and cattle, contributing to the maintenance of bovine tuberculosis (TB). Farmers are therefore advised to exclude badgers from buildings.
We used GPS-collars and remote cameras to characterise badgers’ use of farm buildings at four TB-affected sites in southwestern Britain. Across 54 GPS-collared badgers, 99.8% of locations fell ≥3m from farm buildings. Remote cameras deployed in feed stores recorded just 12 nights with badger visits among 3,134 store-nights of monitoring. GPS-collared badgers used space near farm buildings less than expected based on availability, significantly preferring land ≥100m from buildings.
There was no positive association between badgers’ use of farm buildings and the infection status of either badgers or cattle. Six GPS-collared badgers which regularly visited farm buildings all tested negative for M. bovis. Overall, test-positive badgers spent less time close to farm buildings than did test-negative animals. Badger visits to farm buildings were more frequent where badger population densities were high.
Our findings suggest that, while buildings may offer important opportunities for M. bovis transmission between badgers and cattle, building use by badgers is not a prerequisite for such transmission. Identifying ways to minimise infectious contact between badgers and cattle away from buildings is therefore a management priority
Intractable policy failure: the case of bovine TB and badgers
The failure to eliminate bovine TB from the English and Welsh cattle herd represents a long-term intractable policy failure. Cattle-to-cattle transmission of the disease has been underemphasised in the debate compared with transmission from badgers despite a contested evidence base. Archival evidence shows that mythical constructions of the badger have shaped the policy debate. Relevant evidence was incomplete and contested; alternative framings of the policy problem were polarised and difficult to reconcile; and this rendered normal techniques of stakeholder management through co-option and mediation of little assistance
Low genetic variability, female-biased dispersal and high movement rates in an urban population of Eurasian badgersMeles meles
1.
Urban and rural populations of animals can differ in their behaviour, both in order to meet their
ecological requirements and due to the constraints imposed by different environments. The study
of urban populations can therefore offer useful insights into the behavioural flexibility of a species as
a whole, as well as indicating how the species in question adapts to a specifically urban environment.
2.
The genetic structure of a population can provide information about social structure and
movement patterns that is difficult to obtain by other means. Using non-invasively collected hair
samples, we estimated the population size of Eurasian badgers
Meles meles
in the city of Brighton,
England, and calculated population-specific parameters of genetic variability and sex-specific rates
of outbreeding and dispersal.
3.
Population density was high in the context of badger densities reported throughout their range.
This was due to a high density of social groups rather than large numbers of individuals per group.
4.
The allelic richness of the population was low compared with other British populations. However,
the rate of extra-group paternity and the relatively frequent (mainly temporary) intergroup movements
suggest that, on a local scale, the population was outbred. Although members of both sexes visited
other groups, there was a trend for more females to make intergroup movements.
5.
The results reveal that urban badgers can achieve high densities and suggest that while some
population parameters are similar between urban and rural populations, the frequency of intergroup
movements is higher among urban badgers. In a wider context, these results demonstrate the
ability of non-invasive genetic sampling to provide information about the population density, social
structure and behaviour of urban wildlife
Impact of external sources of infection on the dynamics of bovine tuberculosis in modelled badger populations
Background The persistence of bovine TB (bTB) in various countries throughout the world is enhanced by the existence of wildlife hosts for the infection. In Britain and Ireland, the principal wildlife host for bTB is the badger (Meles meles). The objective of our study was to examine the dynamics of bTB in badgers in relation to both badger-derived infection from within the population and externally-derived, trickle-type, infection, such as could occur from other species or environmental sources, using a spatial stochastic simulation model. Results The presence of external sources of infection can increase mean prevalence and reduce the threshold group size for disease persistence. Above the threshold equilibrium group size of 6–8 individuals predicted by the model for bTB persistence in badgers based on internal infection alone, external sources of infection have relatively little impact on the persistence or level of disease. However, within a critical range of group sizes just below this threshold level, external infection becomes much more important in determining disease dynamics. Within this critical range, external infection increases the ratio of intra- to inter-group infections due to the greater probability of external infections entering fully-susceptible groups. The effect is to enable bTB persistence and increase bTB prevalence in badger populations which would not be able to maintain bTB based on internal infection alone. Conclusions External sources of bTB infection can contribute to the persistence of bTB in badger populations. In high-density badger populations, internal badger-derived infections occur at a sufficient rate that the additional effect of external sources in exacerbating disease is minimal. However, in lower-density populations, external sources of infection are much more important in enhancing bTB prevalence and persistence. In such circumstances, it is particularly important that control strategies to reduce bTB in badgers include efforts to minimise such external sources of infection
Mating system of the Eurasian badger, Meles meles, in a high density population
Badgers are facultatively social, forming large groups at high density. Group-living appears
to have high reproductive costs for females, and may lead to increased levels of inbreeding.
The extent of female competition for reproduction has been estimated from field data, but
knowledge of male reproductive success and the extent of extra-group paternity remains
limited. Combining field data with genetic data (16 microsatellite loci), we studied the mating
system of 10 badger social groups across 14 years in a high-density population. From 923
badgers, including 425 cubs, we were able to assign maternity to 307 cubs, with both parents
assigned to 199 cubs (47%) with 80% confidence, and 14% with 95% confidence. Age had a
significant effect on the probability of reproduction, seemingly as a result of a deficit of
individuals aged two years and greater than eight years attaining parentage. We estimate
that approximately 30% of the female population successfully reproduced in any given
year, with a similar proportion of the male population gaining paternity across the same
area. While it was known there was a cost to female reproduction in high density populations,
it appears that males suffer similar, but not greater, costs. Roughly half of assigned paternity
was attributed to extra-group males, the majority of which were from neighbouring social
groups. Few successful matings occurred between individuals born in the same social group
(22%). The high rate of extra-group mating, previously unquantified, may help reduce inbreeding,
potentially making philopatry a less costly strategy
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