Dataset Information

Geographic variation in the growth of domesticated honey bee stocks: disease or economics?

ABSTRACT: Declines in the stocks of domesticated honey bees in some countries have been attributed to disease, which is at odds with an increasing global trend in the total number of hives. Based on data on annual growth rates in hive numbers and honey production for 87 countries, we tested the hypothesis that geographic heterogeneity in the growth of the domesticated honey bee population can be attributed to disease. In contrast to predictions of this hypothesis, changes in honey production varied in proportion to changes in hive number. Also, growth in honey production was not more spatially heterogeneous than growth in hive numbers, as expected under a scenario of contagious pests. We argue that although disease aggravates production costs, it has less effect on changes in national hive numbers than labor costs, so that geographic variation in the growth of the global honey bee stock reflects the global division of human labor that is a hallmark of economic globalization, rather than persistent and pervasive biological causes.

SUBMITTER: Aizen MA

PROVIDER: S-EPMC2829820 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Geographic variation in the growth of domesticated honey bee stocks: disease or economics?

Aizen Marcelo A MA Harder Lawrence D LD

Communicative & integrative biology 20091101 6

Declines in the stocks of domesticated honey bees in some countries have been attributed to disease, which is at odds with an increasing global trend in the total number of hives. Based on data on annual growth rates in hive numbers and honey production for 87 countries, we tested the hypothesis that geographic heterogeneity in the growth of the domesticated honey bee population can be attributed to disease. In contrast to predictions of this hypothesis, changes in honey production varied in pro ...[more]

PMID: 20195451

Similar Datasets

Project description:Social honey bees, Apis mellifera, host a set of distinct microbiota, which is similar across the continents and various honey bee species. Some of these bacteria, such as lactobacilli, have been linked to immunity and defence against pathogens. Pathogen defence is crucial, particularly in larval stages, as many pathogens affect the brood. However, information on larval microbiota is conflicting. Seven developmental stages and drones were sampled from 3 colonies at each of the 4 geographic locations of A. mellifera carnica, and the samples were maintained separately for analysis. We analysed the variation and abundance of important bacterial groups and taxa in the collected bees. Major bacterial groups were evaluated over the entire life of honey bee individuals, where digestive tracts of same aged bees were sampled in the course of time. The results showed that the microbial tract of 6-day-old 5th instar larvae were nearly equally rich in total microbial counts per total digestive tract weight as foraging bees, showing a high percentage of various lactobacilli (Firmicutes) and Gilliamella apicola (Gammaproteobacteria 1). However, during pupation, microbial counts were significantly reduced but recovered quickly by 6 days post-emergence. Between emergence and day 6, imago reached the highest counts of Firmicutes and Gammaproteobacteria, which then gradually declined with bee age. Redundancy analysis conducted using denaturing gradient gel electrophoresis identified bacterial species that were characteristic of each developmental stage. The results suggest that 3-day 4th instar larvae contain low microbial counts that increase 2-fold by day 6 and then decrease during pupation. Microbial succession of the imago begins soon after emergence. We found that bacterial counts do not show only yearly cycles within a colony, but vary on the individual level. Sampling and pooling adult bees or 6th day larvae may lead to high errors and variability, as both of these stages may be undergoing dynamic succession.

Project description:Canadian beekeepers have faced high colony mortality each winter over the last decade. Frequently citing "poor queen quality" as a top contributing factor to colony loss, Canadian beekeepers report needing to replace half their queens each year. Domestic queen production exists throughout Canada but is limited due to the short season and can be further limited when colony mortality is high. Consequently, Canadian beekeepers import over 260,000 queens annually, primarily from locations with warmer climates. In this study, newly mated imported queens from Hawaii (USA) and New Zealand were compared to domestic Canadian queens produced in British Columbia; these stocks were evaluated on their morphological and sperm storage characteristics. Stock quality was also evaluated in the field at two locations in Alberta, Canada over two production seasons. Our results show initial variation in queen morphology and fertility among imported and domestic queen stocks. Most striking, the New Zealand queens weighed 10-13% less than the Hawaii and British Columbia queens, respectively upon arrival. Colony performance over a two-year field study suggests: (1) brood pattern solidness has a positive nonlinear correlation with honey production regardless of queen stock and environment; (2) environment (i.e., apiary location) and queen stock variably predict colony health and productivity depending on year; specifically, apiary site appears to be a stronger predictor of colony health and productivity than queen stock in year one, but in year two, queen stock appears to be a stronger predictor than apiary site; (3) high clinical symptoms of chalkbrood may explain the prevalence of poor brood patterns in colonies headed by queens from New Zealand; (4) domestic queens are 25% more likely to survive winter in Alberta than imported queens. Therefore, it is important to consider possible mismatches in disease immunity and climate conditioning of imported queen stocks heading colonies in temperate regions that face drastically different seasonal climates and disease ecology dynamics.

Dataset Information

Geographic variation in the growth of domesticated honey bee stocks: disease or economics?

Publications

Geographic variation in the growth of domesticated honey bee stocks: disease or economics?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets