Show simple item record

dc.contributor.authorVollan, Thor Ingeeng
dc.date.accessioned2006-07-11T08:50:30Z
dc.date.available2006-07-11T08:50:30Z
dc.date.issued2003eng
dc.identifier.issn82-8088-361-4 (electronic version)en_US
dc.identifier.urihttp://hdl.handle.net/1956/1533
dc.description.abstractThe abundance and diversity of woodland snails (Gastropoda: Pulmonata) were investigated in a large-scale study in Geitaknottane Nature Reserve in Kvam County (Norway). Snails were collected in 132 squares (50 X 50 meters) in an area of approximately 1,5 km2. Six sifting samples (1-3 liters) were taken from the litter in each square, and environmental variables were also recorded. Detrended correspondence analysis (DCA) and canonical correspondence analysis (CCA) were applied to relate the relative abundance and diversity of snails to the most important environmental variables measured. A total of 11478 individuals in 30 species from 12 families were found in the area. The range of snail species was from 2 to 22 per square, and the number of individuals per square ranged from 1 to 788. The significant environmental variables considered were productivity, aspect, gorge, cliff area, mire, scree area, pollarded trees, topographic position, vegetation type and number of dry calcium-indicating moss species. The main axes in CCA were interpreted as representing richness of nutrients (axis 1) and humidity (axis 2). These axes explain respectively 62% and 12% of the speciesenvironment relation in the analyses. Several groups of species was indicated by ordination, and by interpreting these groups placement in the ordination diagrams several predictions about optimal habitats and environmental tolerance were made. Keywords: Land snails, biodiversity, abundance, forest, prediction, multivariate analysis, Norway.en_US
dc.format.extent2372217 byteseng
dc.format.mimetypeapplication/pdfeng
dc.language.isoengeng
dc.publisherThe University of Bergenen_US
dc.titlePredicting abundance, species richness and assemblages of woodland snails using environmental variablesen_US
dc.typeMaster thesis
dc.rights.holderThe authoren_US
dc.rights.holderCopyright the author. All rights reserveden_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480nob


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record