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dc.contributor.authorBorkin, Kerry
dc.contributor.authorSummers, Ron
dc.contributor.authorThomas, Len
dc.date.accessioned2018-10-17T14:30:12Z
dc.date.available2018-10-17T14:30:12Z
dc.date.issued2012-01-03
dc.identifier.citationBorkin , K , Summers , R & Thomas , L 2012 , ' Surveying abundance and stand type associations of Formica aquilonia and F. lugubris (Hymenoptera: Formicidae) nest mounds over an extensive area : Trialing a novel method ' , European Journal of Entomology , vol. 109 , no. 1 , pp. 47-53 . https://doi.org/10.14411/eje.2012.007en
dc.identifier.otherPURE: 5285592
dc.identifier.otherPURE UUID: aa10e06c-027d-482c-beef-a795410a9be5
dc.identifier.otherScopus: 84865189198
dc.identifier.otherScopus: 84865189198
dc.identifier.otherORCID: /0000-0002-7436-067X/work/54818839
dc.identifier.urihttp://hdl.handle.net/10023/16260
dc.description.abstractRed wood ants are ecologically important members of woodland communities, and some species are of conservation concern. They occur commonly only in certain habitats in Britain, but there is limited knowledge of their numbers and distribution. This study provided baseline information at a key locality (Abernethy Forest, 37 km2) in the central Highlands of Scotland and trialed a new method of surveying red wood ant density and stand type associations: a distance sampling line transect survey of nests. This method is efficient because it allows an observer to quickly survey a large area either side of transect lines, without having to assume that all nests are detected. Instead, data collected on the distance of nests from the line are used to estimate probability of detection and the effective transect width, using the free software "Distance". Surveys took place in August and September 2003 along a total of 71.2 km of parallel, equally-spaced transects. One hundred and forty-four red wood ant nests were located, comprising 89 F. aquilonia (Yarrow, 1955) and 55 F. lugubris (Zetterstedt, 1838) nests. Estimated densities were 1.13 nests per hectare (95% CI 0.74-1.73) for F. aquilonia and 0.83 nests per hectare (95% CI 0.32-2.17) for F. lugubris. These translated to total estimated nest numbers of 4,200 (95% CI 2,700-6,400) and 3,100 (95% CI 1,200-8,100), respectively, for the whole forest. Indices of stand selection indicated that F. aquilonia had some positive association with old-growth and F. lugubris with younger stands (stem exclusion stage). No nests were found in areas that had been clear-felled, and ploughed and planted in the 1970s-1990s. The pattern of stand type association and hence distribution of F. aquilonia and F. lugubris may be due to the differing ability to disperse (F. lugubris is the faster disperser) and compete (F. aquilonia is competitively superior). We recommend using line transect sampling for extensive surveys of ants that construct nest mounds to estimate abundance and stand type association.
dc.format.extent7
dc.language.isoeng
dc.relation.ispartofEuropean Journal of Entomologyen
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.en
dc.subjectDistance samplingen
dc.subjectFormicaen
dc.subjectFormicidaeen
dc.subjectHymenopteraen
dc.subjectLine transecten
dc.subjectOld-growthen
dc.subjectPinus sylvestrisen
dc.subjectScotlanden
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectInsect Scienceen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.titleSurveying abundance and stand type associations of Formica aquilonia and F. lugubris (Hymenoptera: Formicidae) nest mounds over an extensive area : Trialing a novel methoden
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.identifier.doihttps://doi.org/10.14411/eje.2012.007
dc.description.statusPeer revieweden
dc.identifier.urlhttp://www.eje.cz/pdfarticles/1679/eje_109_1_047_Borkin.pdfen


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