Progress in predictive management of deer populations in British woodlands

Research into the population ecology of red ( Cervus elaphus) and roe ( Capreolus capreolus) deer in woodland habitats in Great Britain over the last 25 years has led to the development of a predictive approach to woodland deer management. The results of the research are summarised and examples of the wide variation in population density, fertility and survival between and within red, roe and Sika deer ( Cervus nippon) populations given. Estimates of density, fertility and survival are used to predict changes in numbers and age class structure of a deer population through time using Leslie Matrix models. These changes, together with data on current woodland habitat use and impact, are used to indicate possible impact levels in the future as the woodland progresses through first and second rotation. Decisions about culling levels to meet required woodland and deer management objectives can then be made based on these predictions. An example of the application of predictive deer management is given for Glen Righ in northern Scotland where the local roe deer population is being used for training courses on woodland deer management.