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

Threats to Biodiversity01:50

Threats to Biodiversity

There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Trait Centrality01:21

Trait Centrality

Trait centrality refers to the degree to which a particular characteristic influences the overall impression of an individual. Some traits exert a disproportionately strong impact on perception, shaping how people interpret other attributes of a person. Solomon Asch first systematically studied this phenomenon in 1946.Asch’s Experiment on Trait CentralityAsch's seminal study demonstrated the centrality of certain traits through a controlled experiment. Participants were presented with a list of...
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Environmental Influences on Intelligence01:29

Environmental Influences on Intelligence

Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children from...

You might also read

Related Articles

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

Sort by
Same author

Procedural Rigor and Reproducibility in NMR Metabolomics: Community Practices and Challenges.

Critical reviews in analytical chemistry·2026
Same author

Fine-Scale Ecological Biomonitoring in a Large, Complex Agriculturally Impacted Watershed via eDNA Metabarcoding.

Molecular ecology·2026
Same author

Securing the Future of NMR Metabolomics Reproducibility: A Call for Standardized Reporting.

Analytical chemistry·2025
Same author

Charting a course for freshwater biomonitoring: The grand challenges identified by the global scientific community.

Ecological indicators·2025
Same author

Biomonitoring 2.0 Refined: observing local change through metaphylogeography using a community-based eDNA metabarcoding monitoring network.

BMC biology·2025
Same author

Best Practices in NMR Metabolomics: Current State.

Trends in analytical chemistry : TRAC·2025

Related Experiment Video

Updated: Jun 3, 2026

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

Toward a knowledge infrastructure for traits-based ecological risk assessment.

Donald J Baird1, Christopher J O Baker, Robert B Brua

  • 1Environment Canada at Canadian Rivers Institute, Department of Biology, University of New Brunswick, P.O. Box 45111, Fredericton, New Brunswick E3B6E1, Canada. djbaird@unb.ca

Integrated Environmental Assessment and Management
|March 29, 2011
PubMed
Summary
This summary is machine-generated.

A standardized trait nomenclature and accessible databases are crucial for ecological risk assessment. Integrating semantic web technologies can create a unified platform for species-trait data, advancing environmental management.

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
09:01

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans

Published on: March 14, 2019

Related Experiment Videos

Last Updated: Jun 3, 2026

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
09:01

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans

Published on: March 14, 2019

Area of Science:

  • Ecology
  • Environmental Science
  • Bioinformatics

Background:

  • The trait approach aids in understanding species sensitivity to contaminants for ecological risk assessment.
  • Current data on species-trait relationships are fragmented across various sources, hindering progress.

Purpose of the Study:

  • To highlight the need for a defined trait nomenclature and accessible databases.
  • To explore the integration of semantic web technologies for managing and discovering trait information.
  • To propose a collaborative approach for advancing trait-based ecological risk assessment (TERA) science.

Main Methods:

  • Review of existing literature and databases on species-trait relationships.
  • Discussion of technical and social challenges in data collation.
  • Exploration of semantic web, ontologies, and Web 2.0/3.0 technologies for knowledge discovery.

Main Results:

  • Significant advances in information management and the semantic web offer new possibilities for trait data integration.
  • Existing trait information is scattered, requiring better leverage of current data.
  • A path toward enhanced knowledge discovery can be constructed by linking infrastructure, metadata, and web technologies.

Conclusions:

  • A unified platform for trait data is achievable through collaborative efforts and advanced technologies.
  • This platform will enhance knowledge discovery and support environmental management.
  • The proposed approach facilitates the development of TERA science.