dc.contributor.author | Moe, J. | nb_NO |
dc.contributor.author | Ptacnik, R. | nb_NO |
dc.contributor.author | Penning, Ellis | nb_NO |
dc.contributor.author | Kuikka, Sakari | nb_NO |
dc.contributor.author | Malve, Olli | nb_NO |
dc.contributor.other | Moe, J. - Project manager | nb_NO |
dc.coverage.spatial | Europe | nb_NO |
dc.date.accessioned | 2014-08-01T10:51:27Z | |
dc.date.available | 2014-08-01T10:51:27Z | |
dc.date.issued | 2007 | nb_NO |
dc.identifier | 5459 | nb_NO |
dc.identifier.isbn | 978-82-577-5194-4 | nb_NO |
dc.identifier.issn | 1894-7948 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/213744 | |
dc.description.abstract | This report is deliverable no. 12 of the EU FP 6 project REBECCA (Relationships between ecological and chemical status of surface waters). It describes the statistical approaches and modelling methods used within Workpackage 3 (Lakes). An important purpose of the project has been to develop indicators for ecological status, and to de-scribe and quantify the relationships between chemical pressure gradients and the biological indica-tors. Within Workpackage 3 (Lakes) we have developed indicators and analysed relationships for four main taxonomic groups: phytoplankton, macrophytes, macroinvertebrates and fish. This report describes the statistical methods used for both indicator development and relationships analyses, divided into three types of approaches. (1) Univariate methods: mainly used for describing relationships, after the response variable has been developed. (2) Multivariate methods: mainly used for data exploration and for deriving univariate response variables from multivariate community data. (3) Bayesian methods: particularly useful for analysing complex ecological systems, because hierarchical models and network models can be more easily constructed and analysed within a Bayesian framework. | nb_NO |
dc.description.sponsorship | European Commission, | nb_NO |
dc.publisher | Norsk institutt for vannforskning | nb_NO |
dc.relation.ispartofseries | NIVA-rapport;5459 | nb_NO |
dc.rights | Navngivelse-IkkeKommersiell-DelPåSammeVilkår 3.0 Norge | nb_NO |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/no/ | nb_NO |
dc.subject | ecological modelling | nb_NO |
dc.title | Statistical and modelling methods for assessing the relationships between ecological and chemical status in lakes. REBECCA Deliverable 12 | nb_NO |
dc.type | Research report | nb_NO |
dc.rights.holder | Norsk institutt for vannforskning/Norwegian institute for water research | nb_NO |
dc.subject.nsi | VDP::Matematikk og naturvitenskap: 400 | nb_NO |
dc.source.pagenumber | 38 | nb_NO |
dc.subject.keyword | statistiske modeller | nb_NO |
dc.subject.keyword | ikke-lineære sammenhenger | nb_NO |
dc.subject.keyword | biologiske indikatorer | nb_NO |
dc.subject.keyword | bayesiske modeller | nb_NO |
dc.subject.keyword | statistical models | nb_NO |
dc.subject.keyword | non | nb_NO |
dc.subject.keyword | linear relationships | nb_NO |
dc.subject.keyword | biological indicators | nb_NO |
dc.subject.keyword | bayesian models | nb_NO |
dc.relation.project | O-23035-3 | nb_NO |