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Volume 10 - No: 3

Application of the Ecological Risk Assessment (ERA) Framework to Evaluate Pesticide Impacts on Aquatic Life

  • Dr. Surjit Paul Assistant Professor, Department of Computer Science & IT, ARKA JAIN University, Jamshedpur, Jharkhand, India.
    surjit.p@arkajainuniversity.ac.in
    0000-0002-2213-1752
  • Dr.S.M. Indumathi Assistant Professor, Department of Biotechnology, Sathyabama Institute of Science and Technology, Chennai, India.
    indumathi.biotech@sathyabama.ac.in
    0000-0003-0854-0733
  • Dr. Subhalaxmi Roy Associate Professor, Department of Entomology, Institute of Agricultural Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India.
    subhalaxmiroy@soa.ac.in
    0009-0009-1001-3183
  • Manashree Mane Assistant Professor, Department of Forensic science, JAIN (Deemed-to-be University), Bangalore, Karnataka, India.
    m.manashree@jainuniversity.ac.in
    0000-0001-7169-815X
  • Bhupendra Kumar School of Pharmacy & Research, Dev Bhoomi Uttarakhand University, Dehradun, India.
    sopr.bhupendra@dbuu.ac.in
    0000-0002-2164-5970
  • Ravi Kumar Centre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India.
    ravi.kumar.orp@chitkara.edu.in
    0009-0001-8257-9794
DOI: 10.28978/nesciences.1811129
Keywords: Aquatic contamination, cumulative exposure, ecological risk assessment, pesticide, toxicity thresholds.

Abstract

The widespread application of pesticides in agricultural landscapes has raised increasing concern about their ecological impacts on aquatic environments. This study applies an ecological risk assessment (ERA) framework to evaluate six major classes of pesticides: neonicotinoid insecticides, pyrethroid insecticides, organophosphate insecticides, triazine herbicides, glyphosate (and its metabolite AMPA), and azole fungicides based on secondary datasets and published monitoring studies. The prime aim had been the identification of exposure patterns, sensitive taxa, and cumulative risk of pesticide mixtures in surface waters. The monitoring data showed distinct detection profiles for different chemical classes. Neonicotinoids and glyphosate were the almost constant percentage of detection, which were chronic, baseline, contaminants with detection frequencies of 68% and 75%, respectively. Pyrethroids and organophosphates had lower frequencies and ranged from 30 to 42%, with rainfall and runoff associated with episodic peaks. Triazines (55%) and azole fungicides (40%) had intermediate levels of detection,denoting seasonality of inputs and repeated applications to agriculture. Thresholds of toxicity demonstrated very strongly individual taxon sensitivity, with aquatic invertebrates being the most sensitive to neonicotinoids, benthic invertebrates and fish to pyrethroids, and algae to triazine herbicides. RQ analysis showed that neonicotinoids (RQ: 1.2–45) and pyrethroids (RQ: 5–20) had medium to high-risk levels, while organophosphates (RQ: 0.4–16) and azoles (RQ: 0.2–17) had episodic or mixture-induced risk levels. Triazines (RQ: 0.025–0.6) and glyphosate (RQ: 0.3–3.5) posed comparatively lower but still ecologically relevant risks. Summed risk quotients (ΣRQ) frequently exceeded 1.0, particularly for invertebrates, confirming that additive and synergistic effects amplify overall risks.

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Date

December 2025

Page Number

359-370