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dc.contributor.authorLópez-Sepulcre, Andres
dc.contributor.authorBruneaux, Matthieu
dc.contributor.authorCollins, Sarah M.
dc.contributor.authorEl-Sabaawi, Rana
dc.contributor.authorFlecker, Alexander S.
dc.contributor.authorThomas, Steven A.
dc.date.accessioned2020-06-24T09:30:40Z
dc.date.available2020-06-24T09:30:40Z
dc.date.issued2020
dc.identifier.citationLópez-Sepulcre, A., Bruneaux, M., Collins, S. M., El-Sabaawi, R., Flecker, A. S., & Thomas, S. A. (2020). A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments. <i>American Naturalist</i>, <i>195</i>(6), 964-985. <a href="https://doi.org/10.1086/708546" target="_blank">https://doi.org/10.1086/708546</a>
dc.identifier.otherCONVID_36028869
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/70408
dc.description.abstractUnderstanding how nutrients flow through food webs is central in ecosystem ecology. Tracer addition experiments are powerful tools to reconstruct nutrient flows by adding an isotopically enriched element into an ecosystem and tracking its fate through time. Historically, the design and analysis of tracer studies have varied widely, ranging from descriptive studies to modeling approaches of varying complexity. Increasingly, isotope tracer data are being used to compare ecosystems and analyze experimental manipulations. Currently, a formal statistical framework for analyzing such experiments is lacking, making it impossible to calculate the estimation errors associated with the model fit, the interdependence of compartments, and the uncertainty in the diet of consumers. In this article we develop a method based on Bayesian hidden Markov models and apply it to the analysis of N15‐NH4+ tracer additions in two Trinidadian streams in which light was experimentally manipulated. Through this case study, we illustrate how to estimate N fluxes between ecosystem compartments, turnover rates of N within those compartments, and the associated uncertainty. We also show how the method can be used to compare alternative models of food web structure, calculate the error around derived parameters, and make statistical comparisons between sites or treatments.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherUniversity of Chicago Press
dc.relation.ispartofseriesAmerican Naturalist
dc.rightsIn Copyright
dc.subject.otherfood webs
dc.subject.otherhidden Markov model (HMM)
dc.subject.otherisotope tracer addition
dc.subject.othermodel selection
dc.subject.othernutrient uptake
dc.subject.otherstate-space models.
dc.titleA New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202006244600
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.oppiaineEkologia ja evoluutiobiologiafi
dc.contributor.oppiaineEcology and Evolutionary Biologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange964-985
dc.relation.issn0003-0147
dc.relation.numberinseries6
dc.relation.volume195
dc.type.versionpublishedVersion
dc.rights.copyright© 2020 University of Chicago
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber295941
dc.subject.ysoravintoverkot
dc.subject.ysobayesilainen menetelmä
dc.subject.ysoMarkovin ketjut
dc.subject.ysoravinteet
dc.subject.ysoekosysteemit (ekologia)
dc.subject.ysobiomarkkerit
dc.subject.ysoravinnonotto (kasvit)
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p22082
jyx.subject.urihttp://www.yso.fi/onto/yso/p17803
jyx.subject.urihttp://www.yso.fi/onto/yso/p13075
jyx.subject.urihttp://www.yso.fi/onto/yso/p3938
jyx.subject.urihttp://www.yso.fi/onto/yso/p4997
jyx.subject.urihttp://www.yso.fi/onto/yso/p12288
jyx.subject.urihttp://www.yso.fi/onto/yso/p16138
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.datasethttps://doi.org/10.5061/dryad.8sf7m0chx
dc.relation.doi10.1086/708546
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundinginformationFunding was provided by grants from the Academy of Finland (295941) to A.L.-S. and a Frontiers in Integrative Biological Research (FIBR) grant from the National Science Foundation (EF0623632) to A.S.F. and S.A.T.
dc.type.okmA1


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