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Factors affecting the survival of
Birds of Conservation Concern

by David Leech

 

6.2 Future areas of research

 
Over-winter survival has already been identified as a potential key demographic rate driving the population declines of several passerine species. However, little is known about the influence of individual physiological condition on inter-annual variation in over-winter survival rates and the relationship between these factors requires further investigation. The relationship between body condition and both survival and dispersal rates can be investigated using data obtained from mark-recapture data for sedentary species and potentially from a combination of recaptures and recoveries of dead birds for more mobile species (Evans et al., 1999). However, such studies will need to be carefully designed as estimates of survival may be confounded by other factors, such as the dispersal of individuals after the breeding season and variation in breeding site fidelity.
 
Investigation of seasonal patterns of mortality may also help to determine the potential causes of changes in survival rates. For example, there is some evidence that survival rates of seed-eating passerines may be particularly low in the late winter period, when their food supply is at its most scarce (Crick et al, 1991 BTO RR 80). Whilst comparisons of survival rates during the winter and summer periods have been performed for some British species, eg nuthatches (Sitta eurpoaea) (Nilsson, 1987), the data has usually been collected intensively on relatively small populations. Future studies should aim to calculate seasonal differences in survival rates at larger spatial scales. Analysis of variation in the demographic rates of populations between areas of different agricultural regimes may also help to highlight the specific factors responsible for spatial variation in survival rates of farmland species.
 
Food abundance is likely to have a profound effect on spatial variation in survival rates. Theory predicts that where patches differ in food availability, individuals should distribute themselves across those patches in a manner known as the Ideal Free Distribution, where each individual maximises their feeding rate. From this it is possible to determine the number of feeding birds on each, and how much food they all eat. Consequently, it is possible to calculate survival rates and the size of the population that an area is potentially able to support. This approach has been used with a great deal of success in modelling populations of geese (Vickery et al., 1994) and waders (Gill et al., 2002), amongst others. Such models can be applied to farmland birds and the BTO, under a DEFRA contract, is currently investigating the importance of food supply for seed-eating species in East Anglia.
 

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