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[{"key": "dc.contributor.author", "value": "Litmanen, Jaakko", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2019-07-10T09:48:37Z", "language": "", "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2019-07-10T09:48:37Z", "language": "", "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2019", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/65019", "language": "", "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Trophic interactions have been a popular research subject among ecologists for\r\ndecades because understanding the structure of food webs is essential in\r\nunderstanding consumer-resource interactions and complex ecosystems.\r\nConsumer diet estimation with biological tracer-based mixing models is an\r\nimportant and recently rapidly developing tool for deciphering aquatic food webs.\r\nBayesian frameworks have been introduced to estimate diets accurately with stable\r\nisotope proportions. The low quantity of different stable isotope tracers, however,\r\nlimits greatly the diet estimation accuracy of complex consumer diets. Therefore,\r\nfatty acids have been used as biological tracers to multiply the quantity of tracers in\r\nthe Bayesian mixing models. Aquatic consumer diet estimation has also been\r\nconducted with a numerical optimization method. Daphnia is an important\r\nherbivorous zooplankton genus and thus a popular model species to research\r\naquatic food webs. In this thesis I identified the most reliable fatty acid-based diet\r\nestimation method by comparing Bayesian methods MixSIR and SIAR conducted\r\nwith FASTAR, and a numerical method QFASA conducted with QFASAR in R\r\nstatistical software. These methods were compared with systematic and extensive\r\nsimulations using an extended version of a previously published Daphnia resource\r\nlibrary. MixSIR was the most reliable method. However, the structure of resource\r\nlibrary significantly affected the diet estimations, and an upgraded error structure\r\nfixing modelling method MixSIAR was published after the testing phase of this\r\nthesis. Therefore, I recommend precise construction of the resource library, and the\r\nusage of MixSIAR instead of any of the modelling models tested in this thesis.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Trofiatasojen v\u00e4listen vuorovaikutusten tutkiminen on ollut suosittu aihe ekologien\r\nkeskuudessa jo vuosikymmeni\u00e4, koska ravintoverkkojen ymm\u00e4rt\u00e4minen on\r\noleellista kuluttaja-ruokavalio-suhteiden ja monimutkaisten ekosysteemien\r\ntarkastelussa. Kuluttajan ruokavalion arviointi biomarkkereihin perustuvilla\r\nsekamalleilla on vesiekosysteemien ravintoverkkojen t\u00e4rkein ja nopeimmin\r\nkehittyv\u00e4 ty\u00f6kalu. Pysyville isotoopeille on sovellettu Bayesil\u00e4isi\u00e4 metodeja\r\ntarkkojen ruokavalioarvioiden selvitt\u00e4miseksi. Erilaisten pysyvien isotooppien\r\nv\u00e4h\u00e4inen m\u00e4\u00e4r\u00e4 on hankaloittanut monimutkaisten ruokavalioiden selvitt\u00e4mist\u00e4,\r\njoten rasvahappoja on k\u00e4ytetty korvaamaan pysyvi\u00e4 isotooppeja Bayesil\u00e4isiss\u00e4\r\nsekamalleissa. Vedess\u00e4 el\u00e4vien kuluttajien ruokavalion arviointiin on my\u00f6s\r\nkehitetty numeerinen optimointimetodi. Daphnia on ekologisesti t\u00e4rke\u00e4 ja siten\r\nmalliorganismina suosittu kasvinsy\u00f6j\u00e4el\u00e4inplanktonsuku. T\u00e4ss\u00e4 tutkielmassa\r\nselvitin luotettavimman rasvahappopohjaisen ruokavalion mallinnusmetodin\r\nvertaamalla FASTAR:lla suoritettuja Bayesil\u00e4isi\u00e4 metodeja, MixSIR:\u00e4 ja SIAR:a, sek\u00e4\r\nQFASAR:lla suoritettua numeerista metodia, QFASA:a, tilasto-ohjelma R:ss\u00e4.\r\nVertailussa k\u00e4ytettiin aiemmin julkaistua Daphnia ruokavaliokirjastoa, jota laajensin\r\nlis\u00e4tiedolla, ja jonka avulla loin laajat systemaattiset testit. Testien perusteella\r\nMixSIR oli luotettavin mallinnusmetodi, mutta kirjaston rakenne vaikutti\r\nmerkitt\u00e4v\u00e4sti testien tuloksiin. Lis\u00e4ksi uusi, Bayesil\u00e4isten mallinnusmetodien\r\nvirherakenteen korjaava metodi, MixSIAR, julkaistiin tutkielman testivaiheen\r\nj\u00e4lkeen. T\u00e4st\u00e4 syyst\u00e4 suosittelen erityist\u00e4 huolellisuutta kirjastoa laadittaessa, sek\u00e4\r\nMixSIAR:n k\u00e4ytt\u00f6\u00e4 t\u00e4ss\u00e4 tutkielmassa esitettyjen metodien sijaan.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Miia Hakanen (mihakane@jyu.fi) on 2019-07-10T09:48:37Z\r\nNo. of bitstreams: 1\r\nJaakko_Litmanen_ProGradu_Julkaisu.pdf: 692486 bytes, checksum: 23c39b460f3b12d8d017da962d0149a9 (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2019-07-10T09:48:37Z (GMT). No. of bitstreams: 1\r\nJaakko_Litmanen_ProGradu_Julkaisu.pdf: 692486 bytes, checksum: 23c39b460f3b12d8d017da962d0149a9 (MD5)\r\n Previous issue date: 2019", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "63", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "biomarkkerit", "language": "fi", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Daphnia", "language": "fi", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "FASTAR", "language": "fi", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "MixSIR", "language": "fi", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "QFASA", "language": "fi", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "SIAR", "language": "fi", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Diet estimation and comparison of fatty acid-based diet modelling methods", "language": "fi", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201907103608", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Matemaattis-luonnontieteellinen tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Sciences", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Bio- ja ymp\u00e4rist\u00f6tieteiden laitos", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Department of Biological and Environmental Science", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Ymp\u00e4rist\u00f6tiede ja -teknologia", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Environmental science and technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "4015", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "plankton", "language": "fi", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "ravintoverkot", "language": "fi", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.type.okm", "value": "G2", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
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