Spatio-temporal variation in diet among age and sex cohorts of a model
generalist bird species, the great tit Parus major,
revealed by DNA metabarcoding
Abstract
Dietary variation among individuals and cohorts can have a major impact
on how populations adapt to environmental variation. Although variation
in diet between cohorts and across habitats has been well studied in
many taxa that feed on few or easily observed food items, the same is
not true for most birds, especially smaller generalist passerines whose
feeding habits are predominantly cryptic. For these and similar species,
DNA metabarcoding can be used to good effect but remains underutilised.
Here we used DNA metabarcoding with next-generation sequencing to assess
spatio-temporal dietary variation among age and sex cohorts of the great
tit Parus major, a model species in avian ecology. We identified animal
prey throughout the year, and plants in winter, across different habitat
fragments, achieving sample completeness of >90% for most
analyses. There was considerable variation in dietary richness and
composition among seasons and years, and diet composition varied between
coniferous and mixed-deciduous habitats. Invertebrate prey were more
species rich in mixed-deciduous habitats than in coniferous, primarily
in winter, but when plants were also included there were no differences
between habitat types in species richness. “Rare” species dominated
the diet accounting for 30% of prey items across all samples. In
winter, first year birds consumed more invertebrate species than adults.
Beech (Fagus) was also almost twice as prevalent in the diets of first
years (96% vs 52% in adults). Most differences between ages and sexes
seemed driven primarily by differences in rare species, which we
speculate is caused by divergent foraging modes and microhabitat use. We
discuss the likely mechanisms for the patterns observed, all of which
suggest considerable spatio-temporal variation in diet among cohorts.
Our results also highlight that understanding the role of food in
driving phenological phenomena requires consideration of dietary
variation over space, time and between consumers.