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dc.contributorInstituto de Medio Ambiente, Recursos Naturales y Biodiversidad de la Universidad de Léones_ES
dc.contributor.authorBlanco Lanza, Saúl
dc.contributor.otherEcologiaes_ES
dc.date2014
dc.date.accessioned2018-01-16T18:34:02Z
dc.date.available2018-01-16T18:34:02Z
dc.date.issued2018-01-16
dc.identifier.citationBiogeosciences Discussions, 2014 (11)es_ES
dc.identifier.urihttp://hdl.handle.net/10612/7088
dc.descriptionp. 15889, 15909es_ES
dc.description.abstractDiatoms play a key role in the development of quantitative methods for environmental reconstruction in lake ecosystems. Diatom-based calibration datasets developed dur-ing the last decades allow the inference of past limnological variables such as TP, pH or conductivity and provide information on the autecology and distribution of diatom taxa. However, little is known about the relationships between diatoms and climatic or geographic factors. The response of surface sediment diatom assemblages to abi-otic factors is usually examined using canonical correspondence analysis (CCA) and subsequent forward selection of variables based on Monte Carlo permutation tests that show the set of predictors best explaining the distributions of diatom species. The results reported in 40 previous studies using this methodology in different regions of the world are re-analyzed in this paper. Bi- and multivariate statistics (canonical cor-relation and two-block partial least-squares) were used to explore the correspondence between physical, chemical and physiographical factors and the variables that explain most of the variance in the diatom datasets. Results show that diatom communities respond mainly to chemical variables (pH, nutrients) with lake depth being the most important physiographical factor. However, the relative importance of certain param-eters varied along latitudinal and trophic gradients. Canonical analyses demonstrated a strong concordance with regard to the predictor variables and the amount of variance they captured, suggesting that, on a broad scale, lake diatoms give a robust indication of past and present environmental conditions.es_ES
dc.languageenges_ES
dc.publisherEuropean Geosciences Uniones_ES
dc.subjectBiologíaes_ES
dc.subjectEcología. Medio ambientees_ES
dc.subject.otherDiatomeases_ES
dc.subject.otherLagoses_ES
dc.titleEnvironmental factors controlling lake diatom communities: a meta-analysis of published dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.peerreviewedSIes_ES


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