Assessment of pollution load and identifying bioindicator algal species using multivariate statistical techniques: a case study from Damodar River, India

Tiwary, Rajani Kanth; Maiti, Subodh Kumar; Chowdhury, Abhiroop; Dora, Savana Lata

doi:10.1504/ijep.2022.10046987

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chl-a is commonly used as a proxy for algal biomass in both lotic and lentic environments, as chl-a has been found to be positively correlated with primary productivity in streams, rivers, lakes, and oceans [38]. While traditional methods that directly measure algal biomass, such as measuring ash-free dry mass and enumerating algal cells under a microscope [39][40][41], are more exact, chl-a measurements offer a less complex and time-consuming method of estimating biomass [42,43]. Using a dichotomous key, we identified and enumerated all macroinvertebrates in a functional feeding group (i.e., collector-filterer, collector-gatherer, scraper-grazer, shredder, and predator) in each Hess sample under a dissecting microscope (10× magnification) [44].…”

Section: Lab Analysesmentioning

confidence: 99%

Stream Algal Biomass Associations with Environmental Variables in a Temperate Rainforest

Toskey,

Bollens,

Rollwagen-Bollens

et al. 2024

Water

View full text Add to dashboard Cite

Benthic algae and autotrophic seston are important bases of stream food webs, and several different environmental factors may influence their biomass. We explored how benthic algae and autotrophic seston biomass (using chlorophyll-a as a proxy for algal biomass) were associated with stream temperature, channel width, canopy cover, stream cardinal orientation, benthic macroinvertebrate functional feeding group abundance, salmonid biomass, and water velocity in 16 small, fish-bearing streams in the temperate rainforest of the Olympic Peninsula in Washington State, USA, in the summer of 2020. We performed a mixed-effects regression analysis of extracted chlorophyll-a (chl-a) and then used model averaging to determine significant (α = 0.05) algal–environmental associations for benthic algae and autotrophic seston separately. We found that benthic algae chl-a concentration increased significantly with stream temperature (p = 0.0085) and decreased significantly with water velocity (p = 0.0053). For autotrophic seston, we found that chl-a concentration increased significantly with benthic macroinvertebrate predator abundance (p = 0.0007) and stream temperature (p = 0.0160). This study underscores the need to consider a broad range of environmental variables when making research and management decisions concerning stream ecology.

show abstract