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Investigating the role of landscape composition on honey bee colony winter mortality: A long-term analysis

The health of honey bee colonies is, amongst others, affected by the amount, quality and diversity of available melliferous plants. Since landscape is highly diverse throughout Austria regarding the availability of nutritional resources, we used data from annual surveys on honey bee colony losses ra...

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Autores principales: Kuchling, Sabrina, Kopacka, Ian, Kalcher-Sommersguter, Elfriede, Schwarz, Michael, Crailsheim, Karl, Brodschneider, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095838/
https://www.ncbi.nlm.nih.gov/pubmed/30116056
http://dx.doi.org/10.1038/s41598-018-30891-y
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author Kuchling, Sabrina
Kopacka, Ian
Kalcher-Sommersguter, Elfriede
Schwarz, Michael
Crailsheim, Karl
Brodschneider, Robert
author_facet Kuchling, Sabrina
Kopacka, Ian
Kalcher-Sommersguter, Elfriede
Schwarz, Michael
Crailsheim, Karl
Brodschneider, Robert
author_sort Kuchling, Sabrina
collection PubMed
description The health of honey bee colonies is, amongst others, affected by the amount, quality and diversity of available melliferous plants. Since landscape is highly diverse throughout Austria regarding the availability of nutritional resources, we used data from annual surveys on honey bee colony losses ranging over six years to analyse a possible relationship with land use. The data set comprises reports from a total of 6,655 beekeepers and 129,428 wintered honey bee colonies. Regions surrounding the beekeeping operations were assigned to one of six clusters according to their composition of land use categories by use of a hierarchical cluster analysis, allowing a rough distinction between urban regions, regions predominated by semi-natural areas and pastures, and mainly agricultural environments. We ran a Generalised Linear Mixed Model and found winter colony mortality significantly affected by operation size, year, and cluster membership, but also by the interaction of year and cluster membership. Honey bee colonies in regions composed predominantly of semi-natural areas, coniferous forests and pastures had the lowest loss probability in four out of six years, and loss probabilities within these regions were significantly lower in five out of six years compared to those within regions composed predominantly of artificial surfaces, broad-leaved and coniferous forest.
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spelling pubmed-60958382018-08-20 Investigating the role of landscape composition on honey bee colony winter mortality: A long-term analysis Kuchling, Sabrina Kopacka, Ian Kalcher-Sommersguter, Elfriede Schwarz, Michael Crailsheim, Karl Brodschneider, Robert Sci Rep Article The health of honey bee colonies is, amongst others, affected by the amount, quality and diversity of available melliferous plants. Since landscape is highly diverse throughout Austria regarding the availability of nutritional resources, we used data from annual surveys on honey bee colony losses ranging over six years to analyse a possible relationship with land use. The data set comprises reports from a total of 6,655 beekeepers and 129,428 wintered honey bee colonies. Regions surrounding the beekeeping operations were assigned to one of six clusters according to their composition of land use categories by use of a hierarchical cluster analysis, allowing a rough distinction between urban regions, regions predominated by semi-natural areas and pastures, and mainly agricultural environments. We ran a Generalised Linear Mixed Model and found winter colony mortality significantly affected by operation size, year, and cluster membership, but also by the interaction of year and cluster membership. Honey bee colonies in regions composed predominantly of semi-natural areas, coniferous forests and pastures had the lowest loss probability in four out of six years, and loss probabilities within these regions were significantly lower in five out of six years compared to those within regions composed predominantly of artificial surfaces, broad-leaved and coniferous forest. Nature Publishing Group UK 2018-08-16 /pmc/articles/PMC6095838/ /pubmed/30116056 http://dx.doi.org/10.1038/s41598-018-30891-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kuchling, Sabrina
Kopacka, Ian
Kalcher-Sommersguter, Elfriede
Schwarz, Michael
Crailsheim, Karl
Brodschneider, Robert
Investigating the role of landscape composition on honey bee colony winter mortality: A long-term analysis
title Investigating the role of landscape composition on honey bee colony winter mortality: A long-term analysis
title_full Investigating the role of landscape composition on honey bee colony winter mortality: A long-term analysis
title_fullStr Investigating the role of landscape composition on honey bee colony winter mortality: A long-term analysis
title_full_unstemmed Investigating the role of landscape composition on honey bee colony winter mortality: A long-term analysis
title_short Investigating the role of landscape composition on honey bee colony winter mortality: A long-term analysis
title_sort investigating the role of landscape composition on honey bee colony winter mortality: a long-term analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095838/
https://www.ncbi.nlm.nih.gov/pubmed/30116056
http://dx.doi.org/10.1038/s41598-018-30891-y
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