<div class="csl-bib-body">
<div class="csl-entry">Templ, B., Mózes, E., Templ, M., Földesi, R., Szirák, Á., Báldi, A., & Kovács-Hostyánszki, A. (2019). Habitat-Dependency of Transect Walk and Pan Trap Methods for Bee Sampling in Farmlands. <i>JOURNAL OF APICULTURAL SCIENCE</i>, <i>63</i>(1), 93–115. https://doi.org/10.2478/jas-2019-0014</div>
</div>
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dc.identifier.issn
1643-4439
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/142872
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dc.description.abstract
Bees are the most important group of flower visitors providing an essential ecosystem service, namely pollination. Due to the worldwide decline of bees, there should be standardized sampling methods in place to ensure consistent and comparable results between studies. We compared the two commonly used sampling methods of yellow pan traps and transect walk to determine (i) which habitat variables affect the species composition, abundance and species richness of sampled bee communities, (ii) which method potentially contains sampling bias towards some individuals or groups of bees and (iii) the efficiency of sampling in various habitats. We conducted fieldwork in different agricultural habitats distributed along landscape heterogeneity and topography gradients. Our results showed that the height of vegetation, the average number of flowers and the amount of woody vegetation had the greatest influence on the sampling efficiency. Our survey also demonstrated that sampling by transect walk captured less bees in general, especially in stubble, maize, and cereal fields. We found that Apis mellifera and Bombus spp. were well represented in samples collected by the transect walk method, while the abundance of other genera, especially Dasypoda, Hylaeus and Panurgus was higher in pan traps. Based on the results, we suggest (i) the transect walk method to compare samples of flower-visiting wild bee communities from various habitats of different vegetation and flower characteristics, (ii) application of the transect walk or pan traps to compare similar habitats and (iii) adoption of a comprehensive method which would incorporate both sampling techniques to gain a more complex insight into wild bee species composition.
en
dc.language.iso
en
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dc.publisher
SCIENDO
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dc.relation.ispartof
JOURNAL OF APICULTURAL SCIENCE
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dc.subject
Plant Science
en
dc.subject
bee survey
en
dc.subject
insect pollinators
en
dc.subject
redundancy analysis
en
dc.subject
sampling bias
en
dc.subject
transformation-based
en
dc.subject
wild bee
en
dc.subject
Insect Science
en
dc.title
Habitat-Dependency of Transect Walk and Pan Trap Methods for Bee Sampling in Farmlands
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
93
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dc.description.endpage
115
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dc.type.category
Original Research Article
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tuw.container.volume
63
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tuw.container.issue
1
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
E4
-
tuw.researchTopic.name
Environmental Monitoring and Climate Adaptation
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
JOURNAL OF APICULTURAL SCIENCE
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tuw.publisher.doi
10.2478/jas-2019-0014
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dc.identifier.eissn
2299-4831
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dc.description.numberOfPages
23
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wb.sci
true
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wb.sciencebranch
Mathematik
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wb.sciencebranch
Biologie
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wb.sciencebranch.oefos
1010
-
wb.sciencebranch.oefos
1060
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wb.facultyfocus
Analysis und Scientific Computing
de
wb.facultyfocus
Analysis and Scientific Computing
en
wb.facultyfocus.faculty
E100
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item.grantfulltext
none
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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item.openairetype
research article
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item.languageiso639-1
en
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item.cerifentitytype
Publications
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item.fulltext
no Fulltext
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crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik