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 Concept Videos

Quality of Water01:19

Quality of Water

349
In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
349
Testing Water Quality01:14

Testing Water Quality

242
When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
242

You might also read

Related Articles

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

Sort by
Same author

Local dispersal and growth in an island population of Anoplophora glabripennis (Coleoptera: Cerambycidae) in South Carolina.

Environmental entomology·2026
Same author

Two new species of Micropterus (Centrarchidae) endemic to Atlantic Slope river drainages in Georgia, South Carolina and North Carolina, U.S.A.

Zootaxa·2025
Same author

Integrating fish swimming abilities into rapid road crossing barrier assessment: Case studies in the southeastern United States.

PloS one·2024
Same author

Shifting taxonomic and functional community composition of rivers under land use change.

Ecology·2023
Same author

Quantifying flow-ecology relationships across flow regime class and ecoregions in South Carolina.

The Science of the total environment·2021
Same author

Incorporating Network Connectivity into Stream Classification Frameworks.

Environmental management·2021

Related Experiment Video

Updated: Nov 6, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.2K

Integrating Regional Frameworks and Local Variability for Riverine Bioassessment.

Colby D Denison1, Mark C Scott2, Kevin M Kubach2

  • 1Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, 29631, USA.

Environmental Management
|May 7, 2021
PubMed
Summary
This summary is machine-generated.

Integrating regional frameworks improves stream bioassessment by better accounting for natural variability and detecting human impacts on fish communities. This approach enhances ecological monitoring and metric selection across diverse regions.

Keywords:
BioassessmentClassificationFishRegional frameworksRivers

More Related Videos

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.7K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

566

Related Experiment Videos

Last Updated: Nov 6, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.2K
Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.7K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

566

Area of Science:

  • Ecology
  • Environmental Science
  • Conservation Biology

Background:

  • Regional frameworks are crucial for bioassessment, helping to distinguish anthropogenic impacts from natural environmental variability in ecosystems.
  • Conventional regionalization methods often use broad geographical (ecoregion) or faunal (basin) classifications, which may not fully capture complex ecological patterns.

Purpose of the Study:

  • To develop and evaluate an integrated regional framework for stream bioassessment in South Carolina, USA.
  • To compare the effectiveness of this integrated framework against conventional ecoregion- or basin-only frameworks in partitioning community variation and detecting anthropogenic effects.

Main Methods:

  • Utilized a biologically-informed stream classification system.
  • Integrated ecoregion, basin, and local environmental variables to create a novel regional framework.
  • Assessed framework performance based on the ability to partition community variation and detect human disturbance impacts on fish communities.

Main Results:

  • The integrated framework provided a superior description of natural variability in stream fish communities compared to conventional methods.
  • Found significant regional differences in the relationships between fish metrics and anthropogenic disturbance, indicating context-specific metric utility.
  • Demonstrated that the choice of regional framework influences the detection of ecological impacts.

Conclusions:

  • Integrating regional frameworks across multiple spatial scales enhances stream classification for effective bioassessment.
  • Emphasizes the need to test bioassessment metrics for sensitivity within specific regional contexts before implementation.
  • Provides a robust analytical approach for evaluating biotic variation and metric performance in ecological monitoring programs.