Diatom-based models for inferring water chemistry and hydrology in temporary depressional wetlands

dc.contributor.authorRiato, Luisa
dc.contributor.authorLeira, Manel
dc.contributor.authorBella, Valentina Della
dc.contributor.authorOberholster, Paul Johan
dc.date.accessioned2017-08-04T12:57:25Z
dc.date.issued2017-08
dc.description.abstractInformation on the response of temporary depressional wetland diatoms to human-induced disturbances is a limited and important component for the development of temporary wetland biological assessments in human-modified landscapes. Establishing a reference condition of variation due to natural disturbances in depressional wetlands using diatoms is necessary for further investigations of anthropogenic impacts. We examined the temporal and spatial responses of epiphytic diatom communities to natural environmental disturbances within three least disturbed wetlands in the Mpumalanga Province, South Africa. Alkalinity, Na+ and Cl−, water depth and total relative evapotranspiration (ETo) accounted for the highest proportion of temporal variation in composition of epiphytic diatoms, as revealed by canonical correspondence analysis (CCA). Alkalinity, Na+, and Cl− explained a much higher proportion of species variation, using partial CCA. A simple WA with inverse deshrinking produced reasonably robust models for Na+ (rboot2 = 0.71), depth (rboot2 = 0.64) and alkalinity (rboot2 = 0.46), not for Cl− and ETo. We determined species optima and tolerances for Na+, depth and alkalinity which can facilitate identification of anthropogenic impacts based on changes of indicator taxa assemblages. Our study provides a basis for newly developed quantitative tools to be used in biomonitoring studies and evaluations of reference conditions for temporary wetland management.en_ZA
dc.description.departmentParaclinical Sciencesen_ZA
dc.description.embargo2018-08-30
dc.description.librarianhj2017en_ZA
dc.description.sponsorshipLuisa Riato was supported by a Coaltech Research Association Research Fellowship.en_ZA
dc.description.urihttp://link.springer.com/journal/10750en_ZA
dc.identifier.citationRiato, L., Leira, M., Della Bella, V. & Oberholster, P.J. 2017, 'Diatom-based models for inferring water chemistry and hydrology in temporary depressional wetlands', Hydrobiologia, vol. 797, no. 1, pp. 127-143.en_ZA
dc.identifier.issn0018-8158 (print)
dc.identifier.issn1573-5117 (online)
dc.identifier.other10.1007/s10750-017-3165-8
dc.identifier.urihttp://hdl.handle.net/2263/61593
dc.language.isoenen_ZA
dc.publisherSpringeren_ZA
dc.rights© Springer International Publishing Switzerland 2017. The original publication is available at : http://link.springer.com/journal/10750.en_ZA
dc.subjectAlkalinityen_ZA
dc.subjectIonic compositionen_ZA
dc.subjectWeighted averagingen_ZA
dc.subjectOptimaen_ZA
dc.subjectTemporal variabilityen_ZA
dc.subjectTolerancesen_ZA
dc.titleDiatom-based models for inferring water chemistry and hydrology in temporary depressional wetlandsen_ZA
dc.typePostprint Articleen_ZA

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