12 research outputs found
Results of international standardised beekeeper surveys of colony losses for winter 2012-2013 : analysis of winter loss rates and mixed effects modelling of risk factors for winter loss.
This article presents results of an analysis of winter losses of honey bee colonies from 19 mainly European countries, most of which implemented the standardised 2013 COLOSS questionnaire. Generalised linear mixed effects models (GLMMs) were used to investigate the effects of several factors on the risk of colony loss, including different treatments for Varroa destructor, allowing for random effects of beekeeper and region. Both winter and summer treatments were considered, and the most common combinations of treatment and timing were used to define treatment factor levels. Overall and within country colony loss rates are presented. Significant factors in the model were found to be: percentage of young queens in the colonies before winter, extent of queen problems in summer, treatment of the varroa mite, and access by foraging honey bees to oilseed rape and maize. Spatial variation at the beekeeper level is shown across geographical regions using random effects from the fitted models, both before and after allowing for the effect of the significant terms in the model. This spatial variation is considerable
Honey bee colony winter loss rates for 35 countries participating in the COLOSS survey for winter 2018–2019, and the effects of a new queen on the risk of colony winter loss
peer-reviewedThis article presents managed honey bee colony loss rates over winter 2018/19 resulting from using the standardised COLOSS questionnaire in 35 countries (31 in Europe). In total, 28,629 beekeepers supplying valid loss data wintered 738,233 colonies, and reported 29,912 (4.1%, 95% confidence interval (CI) 4.0–4.1%) colonies with unsolvable queen problems 79,146 (10.7%, 95% CI 10.5–10.9%) dead colonies after winter and 13,895 colonies (1.9%, 95% CI 1.8–2.0%) lost through natural disaster. This gave an overall colony winter loss rate of 16.7% (95% CI 16.4–16.9%), varying greatly between countries, from 5.8% to 32. 0%. We modelled the risk of loss as a dead/empty colony or from unresolvable queen problems and found that, overall, larger beekeeping operations with more than 150 colonies experienced significantly lower losses (p<0.001), consistent with earlier studies.
Additionally, beekeepers included in this survey who did not migrate their colonies at least once in 2018 had significantly lower losses than those migrating (p<0.001). The percentage of new queens from 2018 in wintered colonies was also examined as a potential risk factor. The percentage of colonies going into winter with a new queen was estimated as 55.0% over all countries. Higher percentages of young queens corresponded to lower overall losses (excluding losses from natural disaster), but also lower losses from unresolvable queen problems, and lower losses from winter mortality (p<0.001). Detailed results for each country and overall are given in a table, and a map shows relative risks of winter loss at regional level
Spatial clusters of Varroa destructor control strategies in Europe
Publication history: Accepted - 18 May 2022; Published online - 29 June 2022Beekeepers have various options to control the parasitic mite Varroa destructor in honey bee colonies, but no empirical data
are available on the methods they apply in practice. We surveyed 28,409 beekeepers maintaining 507,641 colonies in 30
European countries concerning Varroa control methods. The set of 19 diferent Varroa diagnosis and control measures was
taken from the annual COLOSS questionnaire on honey bee colony losses. The most frequent activities were monitoring of
Varroa infestations, drone brood removal, various oxalic acid applications and formic acid applications. Correspondence
analysis and hierarchical clustering on principal components showed that six Varroa control options (not necessarily the most
used ones) signifcantly contribute to defning three distinctive clusters of countries in terms of Varroa control in Europe.
Cluster I (eight Western European countries) is characterized by use of amitraz strips. Cluster II comprises 15 countries from
Scandinavia, the Baltics, and Central-Southern Europe. This cluster is characterized by long-term formic acid treatments.
Cluster III is characterized by dominant usage of amitraz fumigation and formed by seven Eastern European countries. The
median number of diferent treatments applied per beekeeper was lowest in cluster III. Based on estimation of colony numbers
in included countries, we extrapolated the proportions of colonies treated with diferent methods in Europe. This suggests that
circa 62% of colonies in Europe are treated with amitraz, followed by oxalic acid for the next largest percentage of colonies.
We discuss possible factors determining the choice of Varroa control measures in the diferent clustersOpen access funding provided by University of Graz. The authors have no relevant financial or non-financial interests to disclose. COLOSS and its supporters had no influence on the study design or the decision to publish
Multi-country loss rates of honey bee colonies during winter 2016/2017 from the COLOSS survey
Publication history: Accepted - 5 March 2018; Published online - 8 May 2018.In this short note we present comparable loss rates of honey bee colonies during winter 2016/2017 from 27 European
countries plus Algeria, Israel and Mexico, obtained with the COLOSS questionnaire. The 14,813 beekeepers providing
valid loss data collectively wintered 425,762 colonies, and reported 21,887 (5.1%, 95% confidence interval 5.0–5.3%)
colonies with unsolvable queen problems and 60,227 (14.1%, 95% CI 13.8–14.4%) dead colonies after winter. Additionally
we asked for colonies lost due to natural disaster, which made up another 6,903 colonies (1.6%, 95% CI 1.5–1.7%).
This results in an overall loss rate of 20.9% (95% CI 20.6–21.3%) of honey bee colonies during winter 2016/2017, with
marked differences among countries. The overall analysis showed that small operations suffered higher losses than larger
ones (p < 0.001). Overall migratory beekeeping had no significant effect on the risk of winter loss, though there
was an effect in several countries. A table is presented giving detailed results from 30 countries. A map is also included,
showing relative risk of colony winter loss at regional level.The authors are also grateful to various national funding
sources for their support of some of the monitoring surveys
[including, in the Republic of Serbia, MPNTR-RS, through grant
number III46002]. The authors acknowledge the financial support
by the University of Graz for open access publication
Supplementary information for the article: Brodschneider, R.; Schlagbauer, J.; Arakelyan, I.; Ballis, A.; Brus, J.; Brusbardis, V.; Cadahía, L.; Charrière, J.-D.; Chlebo, R.; Coffey, M. F.; Cornelissen, B.; da Costa, C. A.; Danneels, E.; Danihlík, J.; Dobrescu, C.; Evans, G.; Fedoriak, M.; Forsythe, I.; Gregorc, A.; Johannesen, J.; Kauko, L.; Kristiansen, P.; Martikkala, M.; Martín-Hernández, R.; Mazur, E.; Mutinelli, F.; Patalano, S.; Raudmets, A.; Simon Delso, N.; Stevanovic, J.; Uzunov, A.; Vejsnæs, F.; Williams, A.; Gray, A. Spatial Clusters of Varroa Destructor Control Strategies in Europe. J Pest Sci 2022. https://doi.org/10.1007/s10340-022-01523-2.
Table S1. Utilized packages of the statistical software R version 4.0.4.Supplementary material for: [https://vet-erinar.vet.bg.ac.rs/handle/123456789/2469]Related to the published version: [https://vet-erinar.vet.bg.ac.rs/handle/123456789/2469
Honey bee colony loss rates in 37 countries using the COLOSS survey for winter 2019–2020: the combined effects of operation size, migration and queen replacement
Publication history: Accepted - 12 July 2022; Published online - 6 September 2022.This article presents managed honey bee colony loss rates over winter 2019/20 resulting
from using the standardised COLOSS questionnaire in 37 countries. Six countries were from
outside Europe, including, for the first time in this series of articles, New Zealand. The 30,491
beekeepers outside New Zealand reported 4.5% of colonies with unsolvable queen problems,
11.1% of colonies dead after winter and 2.6% lost through natural disaster. This gave
an overall colony winter loss rate of 18.1%, higher than in the previous year. The winter loss
rates varied greatly between countries, from 7.4% to 36.5%. 3216 beekeepers from New
Zealand managing 297,345 colonies reported 10.5% losses for their 2019 winter (six months
earlier than for other, Northern Hemisphere, countries). We modelled the risk of loss as a
dead/empty colony or from unresolvable queen problems, for all countries except New
Zealand. Overall, larger beekeeping operations with more than 50 colonies experienced significantly
lower losses (p<0.001). Migration was also highly significant (p<0.001), with
lower loss rates for operations migrating their colonies in the previous season. A higher proportion
of new queens reduced the risk of colony winter loss (p<0.001), suggesting that
more queen replacement is better. All three factors, operation size, migration and proportion
of young queens, were also included in a multivariable main effects quasi-binomial GLM and
all three remained highly significant (p<0.001). Detailed results for each country and overall
are given in a table, and a map shows relative risks of winter loss at the regional level.Dutch Ministry of Agriculture, Nature and Food Quality (BO-43-011.03-005);
Republic of Serbia, MPNTR-RS, through Grant No. III46002; Slovakia the project "Sustainable smart farming
systems taking into account the future challenges
313011W112"; Slovenian Research Program P1-0164; Danish Beekeepers Association for their funding and
support of the international LimeSurvey platform used by
many participating countries; “Zukunft Biene 2” (grant
number 101295/2) in Austria; University of Graz for open access
Honey bee colony loss rates in 37 countries using the COLOSS survey for winter 2019–2020 : the combined effects of operation size, migration and queen replacement
This article presents managed honey bee colony loss rates over winter 2019/20 resulting from using the standardised COLOSS questionnaire in 37 countries. Six countries were from outside Europe, including, for the first time in this series of articles, New Zealand. The 30,491 beekeepers outside New Zealand reported 4.5% of colonies with unsolvable queen problems, 11.1% of colonies dead after winter and 2.6% lost through natural disaster. This gave an overall colony winter loss rate of 18.1%, higher than in the previous year. The winter loss rates varied greatly between countries, from 7.4% to 36.5%. 3216 beekeepers from New Zealand managing 297,345 colonies reported 10.5% losses for their 2019 winter (six months earlier than for other, Northern Hemisphere, countries). We modelled the risk of loss as a dead/empty colony or from unresolvable queen problems, for all countries except New Zealand. Overall, larger beekeeping operations with more than 50 colonies experienced significantly lower losses (
Loss rates of honey bee colonies during winter 2017/18 in 36 countries participating in the COLOSS survey, including effects of forage sources
This short article presents loss rates of honey bee colonies over winter 2017/18 from 36 countries, including 33 in Europe, from data collected using the standardized COLOSS questionnaire. The 25,363 beekeepers supplying data passing consistency checks in total wintered 544,879 colonies, and reported 26,379 (4.8%, 95% CI 4.7–5.0%) colonies with
unsolvable queen problems, 54,525 (10.0%, 95% CI 9.8–10.2%) dead colonies after winter and another 8,220 colonies (1.5%, 95% CI 1.4–1.6%) lost through natural disaster. This gave an overall loss rate of 16.4% (95% CI 16.1–16.6%) of honey bee colonies during winter 2017/18, but this varied greatly from 2.0 to 32.8% between countries. The included map shows relative risks of winter loss at regional level. The analysis using the total data-set confirmed findings from earlier surveys that smaller beekeeping operations with at most 50 colonies suffer significantly higher losses than larger operations (p<.001). Beekeepers migrating their colonies had significantly lower losses than those not migrating (p<.001), a different finding from previous research. Evaluation of six different forage sources as potential risk factors for colony loss indicated that intensive foraging on any of five of these plant sources (Orchards, Oilseed Rape, Maize, Heather and Autumn Forage Crops) was associated with significantly higher winter losses. This finding requires further study and explanation. A table is included giving detailed results of loss rates and the impact of the tested forage sources for each country and overall
Bio-Monitoring of environmental pollution using the citizen science approach
Honeybee colonies are excellent bio-samplers of biological material such as nectar,
pollen, and plant pathogens, as well as non-biological material such as pesticides or
airborne contamination. The INSIGNIA-EU project aims to design and test an innovative,
non-invasive, scientifically proven citizen science environmental monitoring protocol for
the detection of pesticides, microplastics, heavy metals, and air pollutants by honey bee
colonies http://insignia-eu.eu. In the pilot INSIGNIA project (2018-2021), a protocol was
developed and tested for citizen-science-based monitoring of pesticides using honeybees.
As part of the project, biweekly pollen was obtained from sentinel apiaries over a range of
European countries and landscapes and analysed for botanical origin, using state-of-theart
molecular techniques such as metabarcoding. An innovative non-biological matrix, the
“APIStrip”, was also proved to be very efficient for detecting the residues of 273 agricultural
pesticides and veterinary products, both authorized and unauthorized. The data collected
are used to develop and test a spatial modelling system aimed at predicting the spatiallyexplicit
environmental fate of pesticides and honeybee landscape-scale pollen foraging,
with a common underlying geo-database containing European land-use and land-cover
data (CORINE), the LUCAS database (landcover) supplemented with national data sets on
agricultural and (semi-) natural habitats.
After a call by the European Commission, a new 2 years project was granted aiming to
present a comprehensive pan-European environmental pollution monitoring study with
honey bees. Although pesticides used in agriculture, are a known hazard due to their
biological activity, other pollutants, have even been recognized as such, for which we
have not been aware of their impact for many years. An example is air pollution which
increased while our societies industrialized and is currently regarded as the single largest
environmental health risk in Europe (https://www.eea.europa.eu/). Unfortunately, other
pollutants such as heavy metals, polycyclic aromatic hydrocarbons, polychlorinated
biphenyls, airborne particulate matter, and microplastics have also reached our
environment. The outcome of this project will provide the first standardized EU-wide
monitoring of all types of environmental pollutants with honey bee colonies. The project is
funded by the EU, under the N° 09.200200/2021/864096/SER/ ENV.D.2 contract.EU, under the N° 09.200200/2021/864096/SER/ ENV.D.2 contractinfo:eu-repo/semantics/publishedVersio
Preliminary Analysis of Loss Rates of Honey Bee Colonies During Winter 2015/16 from the Coloss Survey
In this short note we present comparable loss rates of honey bee colonies during winter 2015/16 from 29 countries, obtained with the COLOSS questionnaire. Altogether, we received valid answers from 19,952 beekeepers. These beekeepers collectively wintered 421,238 colonies, and reported 18,587 colonies with unsolvable queen problems and 32,048 dead colonies after winter. This gives an overall loss rate of 12.0% (95% confidence interval 11.8-12.2%) during winter 2015/16, with marked differences among countries. Beekeepers in the present study assessed 7.6% (95% CI 7.4-7.8%) of their colonies as dead or empty, and 4.4% (95% CI 4.3-4.5%) as having unsolvable queen problems after winter. The overall analysis showed that small operations suffered higher losses than larger ones. A table with detailed results and a map showing response and relative risks at regional level are presented.WoSScopu