Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables

Detalhes bibliográficos
Autor(a) principal: WOJCIECHOWSKI,JULIANA
Data de Publicação: 2015
Outros Autores: PADIAL,ANDRÉ A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000401717
Resumo: One of the main goals of monitoring cyanobacteria blooms in aquatic environments is to reveal the relationship between cyanobacterial abundance and environmental variables. Studies typically correlate data that were simultaneously sampled. However, samplings occur sparsely over time and may not reveal the short-term responses of cyanobacterial abundance to environmental changes. In this study, we tested the hypothesis that stronger cyanobacteria x environment relationships in monitoring are found when the temporal variability of sampling points is incorporated in the statistical analyses. To this end, we investigated relationships between cyanobacteria and seven environmental variables that were sampled twice yearly for three years across 11 reservoirs, and data from an intensive monitoring in one of these reservoirs. Poor correlations were obtained when correlating data simultaneously sampled. In fact, the 'highly recurrent' role of phosphorus in cyanobacteria blooms is not properly observed in all sampling periods. On the other hand, the strongest correlation values for the total phosphorus x cyanobacteria relationship were observed when we used the variation of sampling points. We have also shown that environment variables better explain cyanobacteria when a time lag is considered. We conclude that, in cyanobacteria monitoring, the best approach to reveal determinants of cyanobacteria blooms is to consider environmental variability.
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spelling Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variablesHarmful algaereservoirmanagementlimnological variablestemporal variationNeotropicsOne of the main goals of monitoring cyanobacteria blooms in aquatic environments is to reveal the relationship between cyanobacterial abundance and environmental variables. Studies typically correlate data that were simultaneously sampled. However, samplings occur sparsely over time and may not reveal the short-term responses of cyanobacterial abundance to environmental changes. In this study, we tested the hypothesis that stronger cyanobacteria x environment relationships in monitoring are found when the temporal variability of sampling points is incorporated in the statistical analyses. To this end, we investigated relationships between cyanobacteria and seven environmental variables that were sampled twice yearly for three years across 11 reservoirs, and data from an intensive monitoring in one of these reservoirs. Poor correlations were obtained when correlating data simultaneously sampled. In fact, the 'highly recurrent' role of phosphorus in cyanobacteria blooms is not properly observed in all sampling periods. On the other hand, the strongest correlation values for the total phosphorus x cyanobacteria relationship were observed when we used the variation of sampling points. We have also shown that environment variables better explain cyanobacteria when a time lag is considered. We conclude that, in cyanobacteria monitoring, the best approach to reveal determinants of cyanobacteria blooms is to consider environmental variability.Academia Brasileira de Ciências2015-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000401717Anais da Academia Brasileira de Ciências v.87 n.3 2015reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201520140416info:eu-repo/semantics/openAccessWOJCIECHOWSKI,JULIANAPADIAL,ANDRÉ A.eng2015-09-22T00:00:00Zoai:scielo:S0001-37652015000401717Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2015-09-22T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables
title Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables
spellingShingle Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables
WOJCIECHOWSKI,JULIANA
Harmful algae
reservoir
management
limnological variables
temporal variation
Neotropics
title_short Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables
title_full Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables
title_fullStr Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables
title_full_unstemmed Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables
title_sort Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables
author WOJCIECHOWSKI,JULIANA
author_facet WOJCIECHOWSKI,JULIANA
PADIAL,ANDRÉ A.
author_role author
author2 PADIAL,ANDRÉ A.
author2_role author
dc.contributor.author.fl_str_mv WOJCIECHOWSKI,JULIANA
PADIAL,ANDRÉ A.
dc.subject.por.fl_str_mv Harmful algae
reservoir
management
limnological variables
temporal variation
Neotropics
topic Harmful algae
reservoir
management
limnological variables
temporal variation
Neotropics
description One of the main goals of monitoring cyanobacteria blooms in aquatic environments is to reveal the relationship between cyanobacterial abundance and environmental variables. Studies typically correlate data that were simultaneously sampled. However, samplings occur sparsely over time and may not reveal the short-term responses of cyanobacterial abundance to environmental changes. In this study, we tested the hypothesis that stronger cyanobacteria x environment relationships in monitoring are found when the temporal variability of sampling points is incorporated in the statistical analyses. To this end, we investigated relationships between cyanobacteria and seven environmental variables that were sampled twice yearly for three years across 11 reservoirs, and data from an intensive monitoring in one of these reservoirs. Poor correlations were obtained when correlating data simultaneously sampled. In fact, the 'highly recurrent' role of phosphorus in cyanobacteria blooms is not properly observed in all sampling periods. On the other hand, the strongest correlation values for the total phosphorus x cyanobacteria relationship were observed when we used the variation of sampling points. We have also shown that environment variables better explain cyanobacteria when a time lag is considered. We conclude that, in cyanobacteria monitoring, the best approach to reveal determinants of cyanobacteria blooms is to consider environmental variability.
publishDate 2015
dc.date.none.fl_str_mv 2015-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000401717
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000401717
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765201520140416
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.87 n.3 2015
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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