Tiede, Julia

[["dc.bibliographiccitation.firstpage","295"],["dc.bibliographiccitation.lastpage","295"],["dc.contributor.author","Tiede, Julia"],["dc.contributor.author","Wemheuer, Bernd"],["dc.contributor.author","Traugott, Michael"],["dc.contributor.author","Daniel, Rolf"],["dc.contributor.author","Tscharntke, Teja"],["dc.contributor.author","Ebeling, Anne"],["dc.contributor.author","Scherber, Christoph"],["dc.date.accessioned","2017-11-29T15:56:52Z"],["dc.date.available","2017-11-29T15:56:52Z"],["dc.date.issued","2016"],["dc.fs.externid","751110"],["dc.fs.pkfprnr","11732"],["dc.identifier.fs","623505"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11247"],["dc.language.iso","en"],["dc.notes.intern","FactScience-Import"],["dc.notes.status","final"],["dc.publisher","Gesellschaft für Ökologie"],["dc.publisher.place","Marburg"],["dc.relation.conference","Annual Meeting of the Ecological Society of Germany, Austria and Switzerland"],["dc.relation.eventend","2016-09-09"],["dc.relation.eventlocation","Marburg"],["dc.relation.eventstart","2016-11-05"],["dc.relation.ispartof","150 years of Ecology - lessons for the future"],["dc.relation.ispartofseries","Verhandlungen der Gesellschaft für Ökologie;46"],["dc.relation.issn","0171-1113"],["dc.title","Plant diversity affects multitrophic interactions in an experimental grassland"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e01790"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Ecosphere"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Engel, Jan"],["dc.contributor.author","Hertzog, Lionel"],["dc.contributor.author","Tiede, Julia"],["dc.contributor.author","Wagg, Cameron"],["dc.contributor.author","Ebeling, Anne"],["dc.contributor.author","Briesen, Heiko"],["dc.contributor.author","Weisser, Wolfgang W."],["dc.date.accessioned","2018-11-07T10:25:15Z"],["dc.date.available","2018-11-07T10:25:15Z"],["dc.date.issued","2017"],["dc.description.abstract","The diversity and community composition of ground arthropods is routinely analyzed by pitfall trap sampling, which is a cost- and time-effective method to gather large numbers of replicates but also known to generate data that are biased by species-specific differences in locomotory activity. Previous studies have looked at factors that influence the sampling bias. These studies, however, were limited to one or few species and did rarely quantify how the species-specific sampling bias shapes community-level diversity metrics. In this study, we systematically quantify the species-specific and community-level sampling bias with an allometric individual-based model that simulates movement and pitfall sampling of 10 generic ground arthropod species differing in body mass. We perform multiple simulation experiments covering different scenarios of pitfall trap number, spatial trap arrangement, temperature, and population density. We show that the sampling bias decreased strongly with increasing body mass, temperature, and pitfall trap number, while population density had no effect and trap arrangement only had little effect. The average movement speed of a species in the field integrates body mass and temperature effects and could be used to derive reliable estimates of absolute species abundance. We demonstrate how unbiased relative species abundance can be derived using correction factors that need only information on species body mass. We find that community-level diversity metrics are sensitive to the particular community structure, namely the relation between body mass and relative abundance across species. Generally, pitfall trap sampling flattens the rank-abundance distribution and leads to overestimations of ground arthropod Shannon diversity. We conclude that the correction of the species-specific pitfall trap sampling bias is necessary for the reliability of conclusions drawn from ground arthropod field studies. We propose bias correction is a manageable task using either body mass to derive unbiased relative abundance or the average speed to derive reliable estimates of absolute abundance from pitfall trap sampling."],["dc.description.sponsorship","German Research Foundation (DFG); Technical University of Munich (TUM)"],["dc.identifier.doi","10.1002/ecs2.1790"],["dc.identifier.isi","000400985300038"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14955"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42820"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Wiley"],["dc.relation.issn","2150-8925"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0/"],["dc.title","Pitfall trap sampling bias depends on body mass, temperature, and trap number: insights from an individual-based model"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0148781"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Tiede, Julia"],["dc.contributor.author","Wemheuer, Bernd"],["dc.contributor.author","Traugott, Michael"],["dc.contributor.author","Daniel, Rolf"],["dc.contributor.author","Tscharntke, Teja"],["dc.contributor.author","Ebeling, Anne"],["dc.contributor.author","Scherber, Christoph"],["dc.contributor.editor","Melcher, Ulrich"],["dc.date.accessioned","2017-09-07T11:53:47Z"],["dc.date.available","2017-09-07T11:53:47Z"],["dc.date.issued","2016"],["dc.description.abstract","Plant diversity affects species richness and abundance of taxa at higher trophic levels. However, plant diversity effects on omnivores (feeding on multiple trophic levels) and their trophic and non-trophic interactions are not yet studied because appropriate methods were lacking. A promising approach is the DNA-based analysis of gut contents using next generation sequencing (NGS) technologies. Here, we integrate NGS-based analysis into the framework of a biodiversity experiment where plant taxonomic and functional diversity were manipulated to directly assess environmental interactions involving the omnivorous ground beetle Pterostichus melanarius. Beetle regurgitates were used for NGS-based analysis with universal 18S rDNA primers for eukaryotes. We detected a wide range of taxa with the NGS approach in regurgitates, including organisms representing trophic, phoretic, parasitic, and neutral interactions with P. melanarius. Our findings suggest that the frequency of (i) trophic interactions increased with plant diversity and vegetation cover; (ii) intraguild predation increased with vegetation cover, and (iii) neutral interactions with organisms such as fungi and protists increased with vegetation cover. Experimentally manipulated plant diversity likely affects multitrophic interactions involving omnivorous consumers. Our study therefore shows that trophic and non-trophic interactions can be assessed via NGS to address fundamental questions in biodiversity research."],["dc.description.sponsorship","Open-Access Publikationsfonds 2016"],["dc.identifier.doi","10.1371/journal.pone.0148781"],["dc.identifier.gro","3149968"],["dc.identifier.pmid","26859146"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12841"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6684"],["dc.language.iso","en"],["dc.notes.status","public"],["dc.relation.issn","1932-6203"],["dc.rights.access","openAccess"],["dc.title","Trophic and Non-Trophic Interactions in a Biodiversity Experiment Assessed by Next-Generation Sequencing"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]