Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Species sensitivity distributions: data and model choice.

J R Wheeler1, E P M Grist, K M Y Leung

  • 1School of Biological Sciences, University of London, Egham, Surrey, UK. j.wheeler@rhul.ac.uk

Marine Pollution Bulletin
|October 26, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Just around the river bend: the fate of plastic bottle pollution in the Thames Estuary.

Marine pollution bulletin·2025
Same author

Big brands impact small islands: Sources of plastic pollution in a remote and protected archipelago.

Marine pollution bulletin·2024
Same author

Sediment metal enrichment and ecological risk assessment of ten ports and estuaries in the World Harbours Project.

Marine pollution bulletin·2020
Same author

The effects of wet wipe pollution on the Asian clam, Corbicula fluminea (Mollusca: Bivalvia) in the River Thames, London.

Environmental pollution (Barking, Essex : 1987)·2020
Same author

Distinguishing globally-driven changes from regional- and local-scale impacts: The case for long-term and broad-scale studies of recovery from pollution.

Marine pollution bulletin·2017
Same author

A 3D imaging and visualization workflow, using confocal microscopy and advanced image processing for brachyuran crab larvae.

Journal of microscopy·2017
Same journal

Polycyclic aromatic hydrocarbons in tropical mangrove soils affected by a major oil spill: vertical distribution, persistence, and mixed sources.

Marine pollution bulletin·2026
Same journal

Persistence and sources of polycyclic aromatic hydrocarbons in mangrove sediments of the Tinharé-Boipeba Archipelago (Brazil) two to four years after the 2019 oil spill.

Marine pollution bulletin·2026
Same journal

Time-fractional advection-dispersion-reaction modeling framework for marine pollution: Application to cyanobacterial harmful algal blooms.

Marine pollution bulletin·2026
Same journal

Physicochemical transformation of polystyrene mediated by Pontibacter strains isolated from discarded expanded polystyrene buoys in a coastal marine environment.

Marine pollution bulletin·2026
Same journal

Seasonal and spatial variations in shoreline plastic debris in Cenderawasih Bay National Park, Indonesia: A risk to ecologically sensitive areas.

Marine pollution bulletin·2026
Same journal

Climate-driven redistribution of Cheilinus wrasses and Acanthaster planci.

Marine pollution bulletin·2026
See all related articles

Species sensitivity distributions (SSDs) require high-quality data for ecological risk assessments. Marine data challenges and model choices significantly impact regulatory decisions.

Area of Science:

  • Environmental toxicology
  • Ecological risk assessment
  • Aquatic toxicology

Background:

  • Species sensitivity distributions (SSDs) are crucial for modern ecological risk assessment.
  • Marine datasets present unique challenges due to smaller sizes and fewer standardized methods compared to freshwater data.
  • Data quantity, quality, and methodological choices introduce uncertainty in SSD construction.

Purpose of the Study:

  • To evaluate the influence of data quantity and quality on SSD construction.
  • To assess the impact of different SSD modeling methods.
  • To demonstrate how these factors affect regulatory decision-making in ecological risk assessment.

Main Methods:

  • Analysis of marine ecotoxicological datasets.
  • Application of various statistical methods for SSD construction.

Related Experiment Videos

  • Comparative assessment of different SSD modeling approaches.
  • Case studies illustrating the impact on regulatory outcomes.

    • Main Results:

    • Data quantity and quality significantly influence SSD outcomes.
    • The choice of statistical model affects SSD shape and derived risk thresholds.
    • Uncertainties in data and methods can lead to variable regulatory conclusions.

    Conclusions:

    • Robust data and appropriate methodological selection are essential for reliable SSD-based risk assessments.
    • Understanding the impact of data limitations and model choice is critical for effective environmental regulation.
    • Further research is needed to standardize marine SSD methods and improve data quality.