Reeves' Muntjac Muntiacus reevesi in Britain: their history, spread, habitat selection, and the role of human intervention in accelerating their dispersal

The origins, early history, captive populations, spread and habitat preferences of Reeves' Muntjac in Britain are reviewed. It is suggested that much of the published information on the history of Muntjac in Britain is based on misconceptions, and that each subsequent report has continued to promulgate a false impression on the origins, time-scale and pattern of spread of the species in Britain. Indian and Reeves' Muntjac were introduced to Woburn Park in Bedfordshire within a year of each other, and it appears that the Indian Muntjac did not thrive, at least in the decade following their introduction. How long they survived as a free-living species in Britain is unclear, but it was probably only a few years. However, there is some evidence to suggest that they might have persisted within the Park at Woburn until 1930. Following the first releases from Woburn in 1901, the numbers of free-living Reeves' Muntjac in Britain remained low until the 1920s, when populations were largely confined to the woods around Woburn, and possibly also around Tring in Hertfordshire. However, in the 1930s and 1940s there were further deliberate introductions in selected areas some distance from Woburn. As a consequence, the subsequent spread of Reeves' Muntjac was from several main foci, i.e. from the vicinity of Woburn, the Norfolk/Suffolk border, three sites in Northamptonshire, two sites in Oxfordshire and two in Warwickshire. The spread in the second half of this century has been aided by further deliberate and accidental releases, and by these means new populations continue to be established outside the main range. Thus the natural spread has been much less impressive than previously assumed; even in areas with established populations it takes a long time for Muntjac to colonize all the available habitat. Data from a number of areas in Britain suggest that the natural rate of spread is about 1 km a year, which is comparable to other species of deer in Britain. The many introductions have complicated an analysis of the habitat preferences of Reeves' Muntjac, and no clear trends could be found. It would appear that Reeves' Muntjac are less dependent on specific types of habitat than previously believed. Examination of the land-class preferences using resource selection indices showed that arable land classes were predominantly selected for, and that marginal upland land classes tended to be avoided. Subsequent logistic regression models based on the land classes selected (and to a lesser extent avoided) by Muntjac were able to predict accurately the current distribution of Reeves' Muntjac in Britain, and one of these, together with our knowledge of their history and spread, was used to infer those areas most likely to be colonized by Muntjac in the near future. The greatest potential for range expansion is in Kent and Sussex, and to a lesser extent north into Lincolnshire, Nottinghamshire and south Yorkshire, and west into Cheshire and north Shropshire. However, long-established populations in areas such as Betws-y-Coed in Wales show that Muntjac may persist in low numbers in atypical habitats. Future habitat changes, such as the planting of new woodlands, and continued deliberate and accidental releases, are likely to lead to population changes in addition to those predicted by the logistic regression model.     

Modeling Black-Tailed Deer Population Dynamics Using Structured and Unstructured Approaches

Abstract: We used cohort analysis to reconstruct the female segment of a Columbian black-tailed deer (Odocoileus hemionus columbianus) population from 1979 to 2000 in the western Cascades of Washington, USA. We used reconstructed population estimates and age class representations to analyze relationships between population change and female density, forage availability, and weather influences. We applied stage structured and unstructured modeling approaches and used information-theoretic methods to select the best models. We used habitat covariates to develop predictive functions for fertility and survival parameters in structured models. The best structured and unstructured models were composed of combinations of factors including population density, forage availability, and winter weather. Structured and unstructured models could assist with management of black-tailed deer by providing the ability to predict deer population change given covariate values.