Macroinvertebrates in streams: A review of some ecological factors

Hussain, Qazi A.; P, Ashok K.

doi:10.5897/ijfa11.045

Cited by 30 publications

(20 citation statements)

References 119 publications

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“…Los resultados del análisis de varianza para el índice IBF-SV determinan diferencias existentes en la calidad de agua a lo largo del recorrido, siendo superior la misma en el sitio 1 (Fátima) respecto a los tres sitios restantes. Aunque las correlaciones existentes entre los parámetros Oxígeno Disuelto (OD) y potencial Hidrógeno (pH) y los indicadores bióticos BMWP-CR e IBF-SV fueron todos significativos, se verificó un mayor nivel de confiabilidad estadística (99%) en la correlación entre OD y el índice IBF-SV, lo cual sugiere una mayor afinidad en el empleo de estos dos indicadores con fines de evaluación de la calidad de agua en zonas similares a la estudiada (Serna et al, 2015;Hussain & Pandit, 2012).…”

Section: Discussionunclassified

“…A pesar de que, de acuerdo con Goyenola (2007), el rango de los valores de oxígeno disuelto observado corresponde a condiciones aceptables para la vida de la gran mayoría de peces y otros organismos acuáticos y que, conforme a MAE (2002), el pH óptimo para conservación de flora y fauna debe mantenerse en un rango entre 5 y 9, las correlaciones del último parámetro con los índices biológicos sugerirían que, aunque la concentración de OD se mantenga dentro de los niveles considerados adecuados, ligeras variaciones en el pH podrían incidir en las poblaciones de macroinvertebrados (Hussain & Pandit, 2012).…”

Section: Discussionunclassified

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Water quality characterization of benthonic macroinvertebrates of Puyo river, Ecuadorian Amazonia

et al. 2016

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Section: Discussionunclassified

Water quality characterization of benthonic macroinvertebrates of Puyo river, Ecuadorian Amazonia

et al. 2016

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“…We can collect macroinvertebrate samples on a large spatial scale relatively easily with a simple net (Chessman, 1995;Buss et al, 2015). Macroinvertebrates play an essential role in freshwater ecosystems because they break down and transfer organic matter, which assists in the cycling of nutrients in stream ecosystems (Wallace and Webster, 1996;Hussain et al, 2012;Hauer and Resh, 2017). Also, macroinvertebrates are a primary food source of fishes and predators, meaning they are essential in the food web (Castro et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Aquatic Macroinvertebrate Community Changes Downstream of the Hydropower Generating Dams in Myanmar-Potential Negative Impacts From Increased Power Generation

Ko¹,

Suter²,

Conallin³

et al. 2020

Front. Water

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Intensive and incessant disruptions in watercourses such as dams are taking place due to the growing demand for hydroelectric generation, and can result in severe deterioration of ecosystem integrity. This research concentrates on the impact of dams on macroinvertebrate communities downstream of two hydropower dams on tributaries of the upper Ayeyarwady River basin (Myitnge and Chaungmagyi Rivers) in Myanmar. A total of 52 and 49 aquatic invertebrate taxa with a total abundance of 2,743 and 1,356 were collected from the Myitnge and Chuangamgyi Rivers, respectively. We found the natural flow regime had changed in both study rivers after the construction of the dams. Analysis of similarity (ANOSIM) indicated the communities of morphospecies of taxa and the very sensitive insects (Ephemeroptera, Plecoptera, Trichoptera, and Odonata, EPTO) were significantly different between upstream and downstream of both dams. We used the preliminary Myanmar Aquatic Biomonitoring Assessment Index (MABA) detect ecological water quality. The MABA analysis using all taxa at family-level showed that upstream of the dams was rated as good quality whereas downstream of the dams was rated as fair quality. Our research showed that macroinvertebrates communities can be used as a bioindicator to detect the impact of human influences on river health such as dams. We concluded that the novel biomonitoring assessment tool recently developed for Myanmar is a promising monitoring tool as further river development occurs in Myanmar, which could also be linked to citizen science projects.

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“…Benthic diatom has shown to be reliable indicators of organic pollution, eutrophication, and pollution [76,77]. As important components of stream ecosystems, macroinvertebrates are sensitive to degradation of water quality and habitats including temperature, substrate, vegetation, pH, droughts, food, and stream geomorphology [78,79]. Valle et al [80] found that macroinvertebrate fauna is significantly influenced by land use types in riparian areas.…”

Section: Introductionmentioning

confidence: 99%

Relationships between Riparian Forest Fragmentation and Biological Indicators of Streams

et al. 2019

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Anthropogenic activities, such as land use and land cover modifications in riparian areas, can alter the degree of fragmentation of riparian vegetation, lead to the degradation of stream habitats, and affect biological communities in the streams. The characteristics of the riparian forests can modify the condition of stream environments and the transporting mechanisms of materials, sediments, nutrients, and pollutants loaded from the watersheds. This study aimed to examine the relationships between forest fragmentation and three biological indicators of trophic diatom, benthic macroinvertebrate, and the fish assessment in the Nakdong River, Korea. Eighty-nine biological assessment sampling sites in the National Aquatic Ecological Monitoring Program of South Korea were identified. For each sampling site, riparian forest data within a 500 m radius were extracted from national LULC using GIS to compute fragmentation metrics using FRAGSTATS software. Four fragmentation metrics—number of forest patches, percentage of riparian forest cover (PLAND), largest riparian forest patch index (LPI), and riparian forest division index (DIVISION)—were correlated with the biological indicators. Also, due to severe spatial autocorrelation among observations, the fragmentation metrics and stream environmental variables were regressed to biological indicators using regression tree analysis. Our results indicate that the biological indicators were significantly associated with most forest fragmentation metrics. We found positive correlations of PLAND and LPI with biological indicators, whereas DIVISION was negatively correlated with biological indicators. Both correlation and regression tree analyses revealed that the biological conditions of streams were likely to be better if riparian forests are less fragmented. Particularly, stronger relationships were revealed between macroinvertebrates and fish with the fragmentation metrics of riparian forests than with benthic diatoms. However, these relationships varied with elevation, stream size, and slope conditions. The results of this study reinforced the importance of including riparian forests in the planning, restoration, and management of stream environments. These results also suggested that planners and managers may need to consider different strategies for different stream environments and topographic characteristics in managing riparian forests.

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Macroinvertebrates in streams: A review of some ecological factors

Cited by 30 publications

References 119 publications

Water quality characterization of benthonic macroinvertebrates of Puyo river, Ecuadorian Amazonia

Water quality characterization of benthonic macroinvertebrates of Puyo river, Ecuadorian Amazonia

Aquatic Macroinvertebrate Community Changes Downstream of the Hydropower Generating Dams in Myanmar-Potential Negative Impacts From Increased Power Generation

Relationships between Riparian Forest Fragmentation and Biological Indicators of Streams

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