Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil)

This research applied the Morphology-Based Functional Groups (MBFGs) combined with classical approaches, such as community descriptor species and phytoplankton classes in the Billings reservoir. This local is the largest freshwater reservoir in the metropolitan region of São Paulo that has around 22...

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Main Authors: Ana Carolina Peixoto Chamizo, Cacilda Thais Janson Mercante, Munique de Almeida Bispo Moraes, Clóvis Ferreira do Carmo, Matheus Barbosa Herbst de Oliveira, João Alexandre Saviolo Osti
Format: Article
Language:English
Published: Associação Brasileira de Engenharia Sanitária e Ambiental 2024-12-01
Series:Revista Brasileira de Ciências Ambientais
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Online Access:https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/2126
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author Ana Carolina Peixoto Chamizo
Cacilda Thais Janson Mercante
Munique de Almeida Bispo Moraes
Clóvis Ferreira do Carmo
Matheus Barbosa Herbst de Oliveira
João Alexandre Saviolo Osti
author_facet Ana Carolina Peixoto Chamizo
Cacilda Thais Janson Mercante
Munique de Almeida Bispo Moraes
Clóvis Ferreira do Carmo
Matheus Barbosa Herbst de Oliveira
João Alexandre Saviolo Osti
author_sort Ana Carolina Peixoto Chamizo
collection DOAJ
description This research applied the Morphology-Based Functional Groups (MBFGs) combined with classical approaches, such as community descriptor species and phytoplankton classes in the Billings reservoir. This local is the largest freshwater reservoir in the metropolitan region of São Paulo that has around 22 million inhabitants. Two sampling stations differing in predominant uses were studied: Rio Grande, classified as mesotrophic, and Central Body, as super and hypereutrophic. The phytoplankton and limnological variables were collected over six months (n=12). The trophic state index was calculated using phosphorus concentrations. Three canonical correspondence analyses were calculated aiming to examine the effect of environmental variables on the phytoplankton structure from each classification method (descriptor species, classes, and MBFGs), identifying the influence of environmental variables (independent variables) on the abundance patterns of the phytoplankton community (dependent variables). The highest concentrations of chlorophyll a and phytoplankton density were recorded at the site with the highest concentrations of total phosphorous (average of 99.86 μg/L in Central Body). This site was also associated with the highest electrical conductivity, total dissolved solids, turbidity, and concentrations of total nitrogen and chlorophyll a. The main factors associated with phytoplankton distribution were the trophic state and the operational system. It was concluded that the phytoplankton approach through MBFG efficiently responds to fluctuations in the ecological attributes of phytoplankton, and because they are based on morphological features, MBFG reduces the complexity of identifying and classifying organisms at a specific level.
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language English
publishDate 2024-12-01
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spelling doaj-art-3a0fe91368f34d9985a438e83f4a96ce2025-08-20T03:53:47ZengAssociação Brasileira de Engenharia Sanitária e AmbientalRevista Brasileira de Ciências Ambientais1808-45242176-94782024-12-0160e2126e212610.5327/Z2176-947821261773Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil)Ana Carolina Peixoto Chamizo0https://orcid.org/0000-0002-2088-9834Cacilda Thais Janson Mercante1https://orcid.org/0000-0002-5591-8383Munique de Almeida Bispo Moraes2https://orcid.org/0000-0002-1433-2298Clóvis Ferreira do Carmo3https://orcid.org/0000-0002-0069-5311Matheus Barbosa Herbst de Oliveira4https://orcid.org/0000-0003-1540-2822João Alexandre Saviolo Osti5https://orcid.org/0000-0002-2154-2453Universidade Guarulhos - BrazilInstituto de Pesca - BrazilInstituto de Pesca - BrazilInstituto de Pesca - BrazilInstituto de Pesca - BrazilUniversidade Guarulhos - BrazilThis research applied the Morphology-Based Functional Groups (MBFGs) combined with classical approaches, such as community descriptor species and phytoplankton classes in the Billings reservoir. This local is the largest freshwater reservoir in the metropolitan region of São Paulo that has around 22 million inhabitants. Two sampling stations differing in predominant uses were studied: Rio Grande, classified as mesotrophic, and Central Body, as super and hypereutrophic. The phytoplankton and limnological variables were collected over six months (n=12). The trophic state index was calculated using phosphorus concentrations. Three canonical correspondence analyses were calculated aiming to examine the effect of environmental variables on the phytoplankton structure from each classification method (descriptor species, classes, and MBFGs), identifying the influence of environmental variables (independent variables) on the abundance patterns of the phytoplankton community (dependent variables). The highest concentrations of chlorophyll a and phytoplankton density were recorded at the site with the highest concentrations of total phosphorous (average of 99.86 μg/L in Central Body). This site was also associated with the highest electrical conductivity, total dissolved solids, turbidity, and concentrations of total nitrogen and chlorophyll a. The main factors associated with phytoplankton distribution were the trophic state and the operational system. It was concluded that the phytoplankton approach through MBFG efficiently responds to fluctuations in the ecological attributes of phytoplankton, and because they are based on morphological features, MBFG reduces the complexity of identifying and classifying organisms at a specific level.https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/2126bioindicatorenvironmental diagnosiseutrophicationmicroalgaemorphology-based functional groupstrophic state index
spellingShingle Ana Carolina Peixoto Chamizo
Cacilda Thais Janson Mercante
Munique de Almeida Bispo Moraes
Clóvis Ferreira do Carmo
Matheus Barbosa Herbst de Oliveira
João Alexandre Saviolo Osti
Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil)
Revista Brasileira de Ciências Ambientais
bioindicator
environmental diagnosis
eutrophication
microalgae
morphology-based functional groups
trophic state index
title Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil)
title_full Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil)
title_fullStr Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil)
title_full_unstemmed Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil)
title_short Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil)
title_sort morpho functional groups as an efficient tool for monitoring and management of the billings reservoir sao paulo brazil
topic bioindicator
environmental diagnosis
eutrophication
microalgae
morphology-based functional groups
trophic state index
url https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/2126
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