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

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dc.contributor.author Riato, Luisa
dc.contributor.author Leira, Manel
dc.contributor.author Bella, Valentina Della
dc.contributor.author Oberholster, Paul Johan
dc.date.accessioned 2017-08-04T12:57:25Z
dc.date.issued 2017-08
dc.description.abstract Information 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.department Paraclinical Sciences en_ZA
dc.description.embargo 2018-08-30
dc.description.librarian hj2017 en_ZA
dc.description.sponsorship Luisa Riato was supported by a Coaltech Research Association Research Fellowship. en_ZA
dc.description.uri http://link.springer.com/journal/10750 en_ZA
dc.identifier.citation Riato, 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.issn 0018-8158 (print)
dc.identifier.issn 1573-5117 (online)
dc.identifier.other 10.1007/s10750-017-3165-8
dc.identifier.uri http://hdl.handle.net/2263/61593
dc.language.iso en en_ZA
dc.publisher Springer en_ZA
dc.rights © Springer International Publishing Switzerland 2017. The original publication is available at : http://link.springer.com/journal/10750. en_ZA
dc.subject Alkalinity en_ZA
dc.subject Ionic composition en_ZA
dc.subject Weighted averaging en_ZA
dc.subject Optima en_ZA
dc.subject Temporal variability en_ZA
dc.subject Tolerances en_ZA
dc.title Diatom-based models for inferring water chemistry and hydrology in temporary depressional wetlands en_ZA
dc.type Postprint Article en_ZA


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