Predictive capacity of phytoplankton functional groups in a tropical wetland (Pantanal, Brazil)

Abstract: Aim Considering the prediction capacity of the phytoplankton community, this study analyzed the environmental factors that influenced the Reynolds Functional Groups (RFG) in hydrological period (dry, rising, flood and ebb) and the type of environment (river and lake), in the Pantanal wetl...

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Main Authors: Renata Felicio-Santos, Simoni Maria Loverde-Oliveira, Wilkinson Lopes Lázaro, Patricia Fernanda dos Santos de Loureiro Nunes, Carolina Joana da Silva
Format: Article
Language:English
Published: Associação Brasileira de Limnologia 2025-08-01
Series:Acta Limnologica Brasiliensia
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-975X2025000100209&lng=en&tlng=en
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author Renata Felicio-Santos
Simoni Maria Loverde-Oliveira
Wilkinson Lopes Lázaro
Patricia Fernanda dos Santos de Loureiro Nunes
Carolina Joana da Silva
author_facet Renata Felicio-Santos
Simoni Maria Loverde-Oliveira
Wilkinson Lopes Lázaro
Patricia Fernanda dos Santos de Loureiro Nunes
Carolina Joana da Silva
author_sort Renata Felicio-Santos
collection DOAJ
description Abstract: Aim Considering the prediction capacity of the phytoplankton community, this study analyzed the environmental factors that influenced the Reynolds Functional Groups (RFG) in hydrological period (dry, rising, flood and ebb) and the type of environment (river and lake), in the Pantanal wetland (Brazil). We expect environmental variability to reflect in the predictive ability of phytoplankton to describe habitat types and flood-pulse periods, where the seasonality (high and low water) are the main drivers of phytoplankton distribution, biomass and functional groups. Methods We collected environmental variables and phytoplankton quarterly in 2018 from 18 points in the flood, rising, dry and ebb. Results recorded 425 taxa distributed into 13 taxonomic groups and 20 RFGs, of which nine groups (D, F, J, G, K, MP, N, S1, and P), represented by green algae, cyanobacteria, and diatoms, had the highest predictive value, characterizing lentic environments as rich in nutrients and light, and the Paraguay River as having a lower availability of these resources for phytoplankton. The variation in biomass was related to the phases of the flood pulse, being higher in low waters in floodplain lakes and smaller in high waters in the river. Conclusions Thus, the predictability of the phytoplankton community structure was directly associated with the environment types in the Pantanal wetland and with the homogenization or isolation of the systems promoted by the flood pulse that acted as drivers of phytoplankton distribution, biomass and functional groups.
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spelling doaj-art-e712d7efd2ef4d39ae013da5eb5fd4fc2025-08-20T03:03:49ZengAssociação Brasileira de LimnologiaActa Limnologica Brasiliensia2179-975X2025-08-013710.1590/s2179-975x7024Predictive capacity of phytoplankton functional groups in a tropical wetland (Pantanal, Brazil)Renata Felicio-Santoshttps://orcid.org/0000-0002-1033-275XSimoni Maria Loverde-Oliveirahttps://orcid.org/0000-0003-1202-220XWilkinson Lopes Lázarohttps://orcid.org/0000-0002-6499-6631Patricia Fernanda dos Santos de Loureiro Nuneshttps://orcid.org/0000-0002-9138-9781Carolina Joana da Silvahttps://orcid.org/0000-0003-0517-1661Abstract: Aim Considering the prediction capacity of the phytoplankton community, this study analyzed the environmental factors that influenced the Reynolds Functional Groups (RFG) in hydrological period (dry, rising, flood and ebb) and the type of environment (river and lake), in the Pantanal wetland (Brazil). We expect environmental variability to reflect in the predictive ability of phytoplankton to describe habitat types and flood-pulse periods, where the seasonality (high and low water) are the main drivers of phytoplankton distribution, biomass and functional groups. Methods We collected environmental variables and phytoplankton quarterly in 2018 from 18 points in the flood, rising, dry and ebb. Results recorded 425 taxa distributed into 13 taxonomic groups and 20 RFGs, of which nine groups (D, F, J, G, K, MP, N, S1, and P), represented by green algae, cyanobacteria, and diatoms, had the highest predictive value, characterizing lentic environments as rich in nutrients and light, and the Paraguay River as having a lower availability of these resources for phytoplankton. The variation in biomass was related to the phases of the flood pulse, being higher in low waters in floodplain lakes and smaller in high waters in the river. Conclusions Thus, the predictability of the phytoplankton community structure was directly associated with the environment types in the Pantanal wetland and with the homogenization or isolation of the systems promoted by the flood pulse that acted as drivers of phytoplankton distribution, biomass and functional groups.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-975X2025000100209&lng=en&tlng=enenvironmental variabilitymicroalgaewetlandspredictive ability
spellingShingle Renata Felicio-Santos
Simoni Maria Loverde-Oliveira
Wilkinson Lopes Lázaro
Patricia Fernanda dos Santos de Loureiro Nunes
Carolina Joana da Silva
Predictive capacity of phytoplankton functional groups in a tropical wetland (Pantanal, Brazil)
Acta Limnologica Brasiliensia
environmental variability
microalgae
wetlands
predictive ability
title Predictive capacity of phytoplankton functional groups in a tropical wetland (Pantanal, Brazil)
title_full Predictive capacity of phytoplankton functional groups in a tropical wetland (Pantanal, Brazil)
title_fullStr Predictive capacity of phytoplankton functional groups in a tropical wetland (Pantanal, Brazil)
title_full_unstemmed Predictive capacity of phytoplankton functional groups in a tropical wetland (Pantanal, Brazil)
title_short Predictive capacity of phytoplankton functional groups in a tropical wetland (Pantanal, Brazil)
title_sort predictive capacity of phytoplankton functional groups in a tropical wetland pantanal brazil
topic environmental variability
microalgae
wetlands
predictive ability
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-975X2025000100209&lng=en&tlng=en
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