Plankton bioindicators of environmental conditions in coastal lagoons

Hemraj, Deevesh A.; Hossain, Afzal; Ye, Qifeng; Qin, Jianguang; Leterme, Sophie C.

doi:10.1016/j.ecss.2016.10.045

Cited by 66 publications

(41 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Al comparar la abundancia de la laguna El Morro, con otras lagunas de la Isla de Margarita, resulta alta, pues su media fue de 110685 ind.m -3 , mientras que en la entrada de la laguna de la Restinga, Gómez (1983) Los pocos grupos zooplanctónicos registrados en este estudio, coincide con la opinión de que en las lagunas costeras se encuentra generalmente una menor diversidad de especies que en zonas costeras aledañas con menor variabilidad ambiental (Hemraj et al 2017). Se sabe que en las lagunas costeras el componente holoplanctónico tiende a ser menos diverso que el meroplanctónico y además que hay una relación menos independiente entre la fauna planctónica y bentónica (Hemraj et al 2017).…”

Section: Discussionunclassified

“…Se sabe que en las lagunas costeras el componente holoplanctónico tiende a ser menos diverso que el meroplanctónico y además que hay una relación menos independiente entre la fauna planctónica y bentónica (Hemraj et al 2017). En las aguas someras de la laguna El Morro, la relación entre el plancton y el bentos es muy estrecha; en la capa superficial del agua se encontraron grupos bentónicos como los oligoquetos y turbelarios (Tabla 1), los cuales ascienden a la columna de agua por movimientos migratorios verticales por transporte de agua del fondo hacia la superficie, por efecto de la turbulencia del agua y/o por remoción del fondo por la acción del instrumento de muestreo.…”

Section: Discussionunclassified

See 1 more Smart Citation

Composición y abundancia del zooplancton en la laguna El Morro, Isla de Margarita, Venezuela

et al. 2017

View full text Add to dashboard Cite

Se analizó la composición y abundancia del zooplancton de la laguna El Morro en la isla de Margarita, Venezuela, durante el periodo de surgencia (marzo-mayo 2011) y de relajación (junio-agosto 2011). Las muestras fueron recolectadas en 6 estaciones de las diferentes zonas de la laguna. Se realizaron calados con una red de plancton de 333 µm durante 10 minutos. Se midió in situ la temperatura, salinidad y oxígeno disuelto, además de nutrientes. Se registraron valores medios de temperatura de 29.7 ºC, salinidad de 36 ups, oxígeno disuelto de 5.9 mg.L-1. La concentración de nutrientes fue baja (medias de 0.12; 0.04; 0.03 mg.L-1 para nitrato, nitrito y fosfato, respectivamente). Se detectaron diferencias significativas temporales con mayores registros en la temporada de relajación, mientras que espacialmente no mostró diferencias, a pesar que en las estaciones internas (Est. 4,5,6) se obtuvo mayor abundancia. Se identificaron quince grupos zooplanctónicos, determinándose nueve especies del grupo Copepoda, dos de Cladocera, una de Decapoda, Tunicada y Rotifera y diferentes formas larvarias de distintos taxa. Las larvas de crustáceos presentaron la abundancia media y relativa más alta (47738 ind.m-3 y 46.83%, respectivamente), seguido del copépodo Oithona nana (31740 ind.m-3 y 25.94%, respectivamente) y Paracalanus quasimodo (12958 ind.m-3 y 8.47%, respectivamente). Esta laguna involucra la estacionalidad surgencia-relajación como un efecto importante en la distribución y abundancia del zooplancton.

show abstract

Section: Discussionunclassified

Composición y abundancia del zooplancton en la laguna El Morro, Isla de Margarita, Venezuela

et al. 2017

View full text Add to dashboard Cite

show abstract

“…However, phytoplankton biomass (Chl) was positively correlated with Sal ( r = 0.37, all data, n = 48). Such space separation of the abundance of phytoplankton and consumers is not uncommon in estuaries and coastal lagoons (Hemraj, Hossain, Ye, Qin, & Leterme, ; Islam et al, ).…”

Section: Resultsmentioning

confidence: 99%

Modeling phaeopigment concentrations in water from a shallow mesotrophic lagoon

Stoichev

Duran

Diego

et al. 2019

Water Environment Research

View full text Add to dashboard Cite

Concentrations of phaeopigments (Pha) and chlorophyll a (Chl) were determined in surface waters from a temperate lagoon during six sampling campaigns at high and at low tide. In order to develop models for phaeopigment concentration in water, it was necessary to replace Chl with photosynthetic pigment concentration (Pt = Pha+Chl) as one of the explanatory variables. Under first approximation, food availability and water temperature (T) could be considered as independent variables. The concentrations of Pha were then determined following seasonal change of response curves of the consumer community on T. However, multiple regression models with Pt, T and, eventually, salinity as explanatory variables were better able to depict Pha. All equations, developed with Pt, were also solved using Chl as an input variable. Although part of the performance was lost, such back‐transformed models can be used at low/medium T and moderate to high concentrations of Chl. The developed equations about middle to long‐term variations of Pha could be applied to study the biogeochemistry of contaminants related to Pha and to evaluate the dependence on temperature of phytoplankton utilization by consumers. Practitioner points Phaeopigment concentration depicted by chlorophyll (Chl), temperature (T), and salinity. Better results obtained at low to medium T and moderate to high Chl concentration. Multiple regression (MR) better for extrapolation than model (S) with variable separation. Thermal response of consumer community in mesotrophic lagoon studied using model S.

show abstract

“…A community's attributes can describe the environmental stability from the diversity value related to the balance of population (Holt and Miller 2011). Planktons are ideal indicators of the change of water system because of their sensitivity to the fluctuation of environmental condition (Hemraj et al 2017) including changes in physicochemical parameters and anthropogenic pollution especially at catchment area (Dembowska et al 2015). Phytoplanktons are good bioindicators.…”

Section: Discussionmentioning

confidence: 99%

Analyses of bioindicators and physicochemical parameters of water of Lake Tondano, North Sulawesi Province, Indonesia

Setyono¹,

Himawan²

2018

Biodiversitas

View full text Add to dashboard Cite

Setyono P, Himawan W. 2018. Analyses of bioindicators and physicochemical parameters of water of Lake Tondano, North Sulawesi Province, Indonesia. Biodiversitas 19: 867-874. The water quality of Lake Tondano is affected by various anthropogenic activities on the water body and catchment area. The purposes of this research were (i) to identify a pollution load based on the study of bioindicators and physicochemical parameters and (ii) to identify the trophic level of the Lake Tondano. The research data were collected by direct water sampling and analyses of a secondary data. The plankton identification was conducted in a laboratory. The data were analyzed to determine biodiversity index (ID) using the Shannon Weiner formula. A comparison between physicochemical parameters and the standard in the government regulation number 82, the year of 2001 and the value of diversity index were used to determine the pollution level. The trophic level was calculated with the Carlson Formula. The results showed that the diversity index (H') in Lake Tondano was 1.904 (phytoplankton), 1.712 (zooplankton) and 2.086 (benthos) which indicated a low to mid-level pollution. Based on the government regulation, the Eris station had inappropriate water quality for the present utilization (Class II). The trophic state was categorized as eutrophic towards hypertrophic condition indicated by domination of the phytoplankton and large covers of the water hyacinth.

show abstract

Plankton bioindicators of environmental conditions in coastal lagoons

Cited by 66 publications

References 71 publications

Composición y abundancia del zooplancton en la laguna El Morro, Isla de Margarita, Venezuela

Composición y abundancia del zooplancton en la laguna El Morro, Isla de Margarita, Venezuela

Modeling phaeopigment concentrations in water from a shallow mesotrophic lagoon

Analyses of bioindicators and physicochemical parameters of water of Lake Tondano, North Sulawesi Province, Indonesia

Contact Info

Product

Resources

About