Algae in Acid Mine Drainage and Relationships with Pollutants in a Degraded Mining Ecosystem

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Edafoloxía e Química Agrícolagl
dc.contributor.authorGomes, Patrícia
dc.contributor.authorValente, Teresa
dc.contributor.authorAlbuquerque, Teresa
dc.contributor.authorHenriques, Renato
dc.contributor.authorFlor Arnau, Núria
dc.contributor.authorPamplona, Jorge
dc.contributor.authorMacías Vázquez, Felipe
dc.date.accessioned2021-02-15T12:50:22Z
dc.date.available2021-02-15T12:50:22Z
dc.date.issued2021
dc.description.abstractAcid mine drainage represents an extreme environment with high concentrations of potentially toxic elements and low pH values. These aquatic habitats are characterised by harsh conditions for biota, being dominated by acidophilic organisms. The study site, São Domingos mine, located in one of the largest metallogenetic provinces in the world, the Iberian Pyrite Belt, was closed without preventive measures. To identify the algae species and understand the relationships with abiotic parameters of the ecosystem, water and biological material were collected and analysed. Digital terrain models were obtained with an unmanned aerial vehicle for geomorphological and hydrologic characterisation of the mine degraded landscape. The results show two types of algal colours that seem to represent different degrees of photosynthetic activity. Optical and scanning electron microscopy revealed 14 taxa at the genus level, divided into eight classes. The genus Mougeotia is the most abundant multicellular algae. With respect to unicellular algae, diatoms are ubiquitous and abundant. Abiotic analyses expose typical features of acid mine drainage and support an inverse relationship between chemical contamination and biological diversity. Factorial correspondence analysis indicates three groups of attributes and samples by their relationship with specific toxic elements. This analysis also suggests a close association between Spirogyra and Pb, together composing a structurally simple ecosystem. The highest contamination in the river system is related to the hydrologic patterns obtained from photogrammetric products, such as the digital surface model and flow map accumulation, indicating the input of leachates from the section having the finest sulfide-rich wastes. Information about the algae community and their association with flow patterns of toxic elements is a relevant tool from a biomonitoring perspectivegl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis work was funded by FCT (Fundação para a Ciência e Tecnologia) by the research fellowship under the POCH (Programa Operacional Capital Humano) supported by the European Social Fund and National Funds of MCTES (Ministério da Ciência, Tecnologia e Ensino Superior) with reference SFRH/BD/108887/2015. This work was co-funded by FCT through projects UIDB/04683/2020, UIDP/04683/2020 and Nano-MINENV 029259 (PTDC/CTA-AMB/29259/2017gl
dc.identifier.citationMinerals 2021, 11(2), 110; https://doi.org/10.3390/min11020110gl
dc.identifier.doi10.3390/min11020110
dc.identifier.essn2075-163X
dc.identifier.urihttp://hdl.handle.net/10347/24458
dc.language.isoenggl
dc.publisherMDPIgl
dc.relation.publisherversionhttps://doi.org/10.3390/min11020110gl
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)gl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAcid mine drainagegl
dc.subjectMougeotiagl
dc.subjectAcidophilic algaegl
dc.subjectPhotogrammetric productsgl
dc.subjectFactorial correspondence analysisgl
dc.subjectEcological monitoringgl
dc.subjectIberian Pyrite Beltgl
dc.titleAlgae in Acid Mine Drainage and Relationships with Pollutants in a Degraded Mining Ecosystemgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublicationa803c966-f7c9-483a-99ec-cb50b8aec397
relation.isAuthorOfPublication.latestForDiscoverya803c966-f7c9-483a-99ec-cb50b8aec397

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