Ecology and Evolution · 2014 · 152 citations · 56 references
Life SciencesEcologyEntomologyInsect BiodiversityInsect EcologyPollination EcologyLandscape Ecology Of InsectsPollination In Natural EcosystemsPollinator BehaviorHoney Bee ManagementHoney Bee PollinationInsect Pollinator DeclineLandscape Effects On PollinationNectar Resource AvailabilityPollen And Nectar ResourcesPollen NutritionPollen Nutritional Value
Declines in insect pollinators in Europe have been linked to changes in land use. Pollinator nutrition is dependent on floral resources (i.e., nectar and pollen), which are linked to landscape composition. Here, we present a stratified analysis of the nutritional composition of beebread in managed honeybee hives with a view to examining potential sources of variation in its nutritional composition. Specifically, we tested the hypothesis that beebread composition correlates with local land use and therefore available floral resources. The results demonstrated that the starch, lipid, and moisture contents of beebread are all highly conserved across hives, whereas levels of protein and nonreducing sugar increased as the year progressed, reducing sugars, however, decreased during the first half of the year and then increased toward the end. Local land use around hives was quantified using data from the Countryside Survey 2007 Land Cover Map. Bee-bread protein content was negatively correlated with increasing levels of arable and horticultural farmland surrounding hives and positively correlated with the cover of natural grasslands and broadleaf woodlands. Reducing sugar content was also positively correlated with the amount of broad-leaved woodland in a 3 Km² radius from the hives. Previous studies on a range of invertebrates, including honeybees, indicate that dietary protein intake may have a major impact on correlates of fitness, including longevity and immune function. The finding that beebread protein content correlates with land use suggests that landscape composition may impact on insect pollinator well-being and provides a link between landscape and the nutritional ecology of socially foraging insects in a way not previously considered.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Linear Mixed-Effects Models using 'Eigen' and S4
Douglas M. Bates, Martin Maechler, Benjamin M. Bolker et al. · 2015 · 6K citations
SCALE-DEPENDENT EFFECTS OF LANDSCAPE CONTEXT ON THREE POLLINATOR GUILDS
Ingolf Steffan‐Dewenter, Ute Münzenberg, C. Burger et al. · Ecology · 2002 · 1.2K citations · Full text