Rapid Bioassessment of Crabtree Creek (Wake County, North Carolina) Using Macroinvertebrate and Microbial Indicators

Bonner, L. A.; Hayes, R. L.; Lister, J. L.; Myer, P. A.; Wolf, J.R.

doi:10.1080/02705060.2009.9664287

Cited by 4 publications

(2 citation statements)

References 25 publications

(30 reference statements)

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“…EPT index was estimated by summing a total number of individuals group Ephemeroptera (Mayflies), Plecoptera (Stoneflies), and Trichoptera (Caddisflies). If the EPT number is greater than 7 per sample, then it is considered excellent, between 2 and 7 is good, and below 2 is considered poor [40].…”

Section: Ephemeroptera Plecoptera and Trichoptera (Ept) Indexmentioning

confidence: 99%

Evaluation of Water Quality Using Physicochemical Parameters and Aquatic Insects Diversity

Khan¹,

Butt²

2023

River Basin Management - Under a Changing Climate

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Biomonitoring studies focus on the component of biodiversity, its natural habitats, and species populations which display the ongoing variations in ecosystem and landscape. Physicochemical parameters are important water quality parameters of river water i.e., pH, temperature, turbidity, conductivity, total dissolved solids, total suspended solids, total alkalinity, sulfate, nitrate, heavy metals, and phosphate. This chapter focuses on assessing water quality through Physicochemical Parameters and Aquatic Insects Diversity. The case study investigated the effect of pollutants produced by the human dwelling, agricultural and industrial activities on aquatic invertebrate communities of water of part of Soan River, Pakistan. Four sites were selected based on variation in microhabitat accessibility to examine the pollution in water. Samples were collected from these sites during spring, 2015. Water samples for physio-chemical analysis and macroinvertebrates were collected from all sites. Results showed that conductivity, dissolved oxygen, sodium, and cadmium at all sites were higher than the drinking water quality of WHO standards while potassium, chromium, and manganese were higher in concentration at most downstream sites. However, all other studied parameters were within recommended range of WHO standards. A total of 412 individuals of aquatic insects were collected from the studied sites, belonged to 6 orders and they were the most abundant in April. Total abundance was used to estimate the quality of water at the sites. Most biotic indexes showed that water was of good quality at upstream stations rather than downstream stations, while water quality index (WQI) showed fair water quality at downstream sites. This study showed that aquatic insects could be useful as bioindicators for biomonitoring of water quality along with physiochemical parameters.

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Section: Ephemeroptera Plecoptera and Trichoptera (Ept) Indexmentioning

confidence: 99%

Evaluation of Water Quality Using Physicochemical Parameters and Aquatic Insects Diversity

Khan¹,

Butt²

2023

River Basin Management - Under a Changing Climate

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“…Their advantages as bioindicators include their general ubiquity, abundance and diversity, and varying sensitivity to environmental perturbations (Resh, 2008;Abbasi and Abbasi, 2011). Commonly-used macroinvertebrate bioindicators are often based on taxonomic properties of the community, such as richness and diversity, relative composition of different taxa, and indices based on combined sensitivity-weighted scores for each taxon (Jones et al, 2007;Bonner et al, 2009;Abbasi and Abbasi, 2011;Laini et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Agriculture and the Life Aquatic: Effects of Agricultural Landscape Structure on Farmland Aquatic Biodiversity and Water Quality

Collins¹

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Agriculture is associated with many of the leading threats to freshwater ecosystems, which are the most threatened environments on Earth. The overarching goal of my dissertation was to advance our understanding of the relationships between agricultural landscape structure and aquatic biodiversity and water quality, to identify potential management options for farmland aquatic ecosystems. In Chapter 2, I investigated the responses of anurans to agricultural landscape structure, with the particular goal of testing predictions about the influence of farmland compositional and configurational heterogeneity. I found that, while forest cover was the strongest predictor of anuran richness and abundance, farmland configurational heterogeneity was also positively related to abundance. In Chapter 3, I investigated the direct and indirect relationships between agricultural landscape structure and different physicochemical and biological measures of water quality in farmland drainage ditches. I found that physicochemical water quality was most strongly related to landscape composition, specifically, amounts of forest cover and high-intensity crop cover in the surrounding landscape. I also found support for a positive direct relationship between a biological measure of water quality, macroinvertebrate richness, and configurational heterogeneity, and indirect relationships between macroinvertebrate richness and landscape composition. In Chapter 4, I examined whether macroinvertebrate traits can be used as reliable indicators of elevated levels of specific agrichemical pollutants in farmland drainage ditches. My results suggested that macroinvertebrate indicators are probably less efficient than rigorous chemical sampling for the monitoring of specific contaminants in farm wetlands. Taken together, my results suggest that landscape management to support farmland aquatic ecosystems should focus iii mainly on landscape composition; in particular, agri-environmental policies should aim to increase or maintain amounts of non-crop cover such as forest, and reduce or maintain low amounts of high-intensity crop cover. My results also suggest that increasing farmland configurational heterogeneity, through reducing crop field sizes/increasing edge density, can be an effective management option to enhance aquatic biodiversity in agricultural landscapes. In addition, my results indicate a need for more management actions in our region to reduce nutrient pollution, and stronger policies for routine water quality data collection, as well as establishment and enforcement of water quality standards.

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Are macroinvertebrate traits reliable indicators of specific agrichemicals?

Collins

Fahrig

2020

Ecological Indicators

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Rapid Bioassessment of Crabtree Creek (Wake County, North Carolina) Using Macroinvertebrate and Microbial Indicators

Cited by 4 publications

References 25 publications

Evaluation of Water Quality Using Physicochemical Parameters and Aquatic Insects Diversity

Evaluation of Water Quality Using Physicochemical Parameters and Aquatic Insects Diversity

Agriculture and the Life Aquatic: Effects of Agricultural Landscape Structure on Farmland Aquatic Biodiversity and Water Quality

Are macroinvertebrate traits reliable indicators of specific agrichemicals?

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