Abstract

Pathogens may be important for host population dynamics, as they can be a proximate cause of morbidity and mortality. Infection dynamics, in turn, may be dependent on the underlying condition of hosts. There is a clear potential for synergy between infection and condition: poor condition predisposes to host infections, which further reduce condition and so on. To provide empirical data that support this notion, we measured haematological indicators of infection (neutrophils and monocytes) and condition (red blood cells (RBCs) and lymphocytes) in field voles from three populations sampled monthly for 2 years. Mixed-effect models were developed to evaluate two hypotheses, (i) that individuals with low lymphocyte and/or RBC levels are more prone to show elevated haematological indicators of infection when re-sampled four weeks later, and (ii) that a decline in indicators of condition is likely to follow the development of monocytosis or neutrophilia. We found that individuals with low RBC and lymphocyte counts had increased probabilities of developing monocytosis and higher increments in neutrophils, and that high indices of infection (neutrophilia and monocytosis) were generally followed by a declining tendency in the indicators of condition (RBCs and lymphocytes). The vicious circle that these results describe suggests that while pathogens overall may be more important in wildlife dynamics than has previously been appreciated, specific pathogens are likely to play their part as elements of an interactive web rather than independent entities.

Highlights

  • We describe a longitudinal study in replicated wild field vole populations, which attempts to evaluate the temporal sequence of the relationship between condition and infection by testing two hypotheses, (i) that individuals with lymphopoenia and/or anaemia are more prone to show elevated haematological indicators of infection when re-sampled four weeks later and (ii) that a decline in indicators of condition is likely to follow the development of monocytosis or neutrophilia

  • Because a four-week gap may be too long to evaluate the development of an ephemeral response such as neutrophilia, we explored instead the difference between neutrophil levels in the first and second samples

  • (b) Change in red blood cell (RBC) and lymphocyte counts following neutrophilia or monocytosis Table 3 shows the final models describing the effects of monocytosis and neutrophilia on subsequent changes in lymphocyte and RBC counts

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Summary

INTRODUCTION

We describe a longitudinal study in replicated wild field vole populations, which attempts to evaluate the temporal sequence of the relationship between condition and infection by testing two hypotheses, (i) that individuals with lymphopoenia and/or anaemia are more prone to show elevated haematological indicators of infection when re-sampled four weeks later and (ii) that a decline in indicators of condition is likely to follow the development of monocytosis or neutrophilia. Population sizes were included: both current estimates (DENSITY-0) and densities at different lags (the lags evaluated were those found important for a particular cell level by Beldomenico et al in press) These were estimated using Huggins’s closed capture models within a robust design (Huggins 1989; Kendall & Nichols 1997). 13.4 a AIC value increment if the single term is dropped

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Findings
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