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

Ethics in Research01:56

Ethics in Research

23.1K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
23.1K

You might also read

Related Articles

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

Sort by
Same author

Data-Independent Acquisition-Based Quantitative Proteomics, Nontargeted Metabolomics, and Protein-Ligand Interaction Reveal the Mechanism of Baicalin Inhibiting β<i>-</i>hemolytic/cytolytic Activities of <i>Streptococcus agalactiae</i>.

Journal of agricultural and food chemistry·2026
Same author

Efficacy and safety of six immunoadsorption treatments for severe lupus nephritis: a Bayesian network meta-analysis and systematic review.

Frontiers in immunology·2026
Same author

A manganese metabolism-related gene signature for prognosis prediction and immune microenvironment description of glioblastoma.

Discover oncology·2026
Same author

Nutritional risk stratification management is associated with reduced disease relapse and improved quality of life in IBD patients: a retrospective study.

Frontiers in nutrition·2026
Same author

Effectiveness and safety of four drainage methods for lung abscess: a Bayesian network meta-analysis and systematic review.

Frontiers in medicine·2026
Same author

Efficacy comparison of seven non-invasive brain stimulation techniques for upper limb motor dysfunction after stroke: a Bayesian network meta-analysis and systematic review.

Frontiers in neurology·2026
Same journal

Correction: Gernhardt et al. Ex Vivo Computed Tomographic Morphometry and Motion of the Native and Fractured Equine Accessory Carpal Bone. <i>Animals</i> 2026, <i>16</i>, 1132.

Animals : an open access journal from MDPI·2026
Same journal

Camera-Trap Assessment of Terrestrial Mammals and Ground-Dwelling Birds in the Zhangjiajie Chinese Giant Salamander National Nature Reserve, China.

Animals : an open access journal from MDPI·2026
Same journal

Beyond the Mission: Long-Term Endocrine Dynamics in Search and Rescue Dog-Handler Teams.

Animals : an open access journal from MDPI·2026
Same journal

Phenotypic Characterisation of the Abruzzo Donkey (<i>Equus asinus</i>), an Endangered Italian Genetic Resource: Body Measurements.

Animals : an open access journal from MDPI·2026
Same journal

Assessment of Maternal Genetic Diversity and Mitochondrial Population Structure of Endangered Indigenous Chicken Breeds in China.

Animals : an open access journal from MDPI·2026
Same journal

Effects of Expected Progeny Difference and Feeding Systems on Carcass Characteristics in Hanwoo Steers.

Animals : an open access journal from MDPI·2026
See all related articles

Related Experiment Video

Updated: Jul 25, 2025

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K

Risk Assessment Model System for Aquatic Animal Introduction Based on Analytic Hierarchy Process (AHP).

Xuxin Zhang1,2,3, Hehe Du2,3, Zhouzhou Zhao2,3

  • 1Sanya Nanfan Research Institute, Hainan University, Sanya 572022, China.

Animals : an Open Access Journal From MDPI
|June 28, 2023
PubMed
Summary
This summary is machine-generated.

A new analytic hierarchy process (AHP) model provides quantitative risk assessments for aquatic invasive species (IS). This system effectively evaluates risks, aiding in managing the introduction of aquatic animals and preventing ecosystem disruption.

Keywords:
analytic hierarchy process (AHP)aquatic ecosystembiological invasionintroduced aquatic animalsinvasive species (IS)risk assessment

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

8.1K
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

2.7K

Related Experiment Videos

Last Updated: Jul 25, 2025

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K
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

2.7K

Area of Science:

  • Ecology
  • Environmental Science
  • Risk Assessment

Background:

  • Invasive species (IS) disrupt ecosystems and economies, necessitating robust risk assessment protocols.
  • Current IS risk assessment methods are often qualitative or semi-quantitative, with a lack of systems for aquatic animals.
  • Existing assessment systems primarily focus on terrestrial animals, leaving a gap in aquatic species evaluation.

Purpose of the Study:

  • To develop a quantitative risk assessment model for aquatic invasive species (IS).
  • To address the limitations of existing qualitative/semi-quantitative methods and the scarcity of aquatic animal assessment tools.
  • To support informed decision-making for the introduction and management of aquatic species.

Main Methods:

  • Development of an analytic hierarchy process (AHP) model comprising four primary, twelve secondary, and sixty tertiary indexes.
  • Application of the AHP model for quantitative risk assessment of five distinct aquatic animal species introduced in China.
  • Comparative risk assessment based on biological characteristics and introduction purposes.

Main Results:

  • The AHP model effectively conducted quantitative risk assessments for introduced aquatic animals.
  • Pterygoplichthys pardalis was assessed as high risk.
  • Macrobrachium rosenbergii, Crassostrea gigas, and Trachemys scripta elegans were medium risk; Ambystoma mexicanum was low risk.

Conclusions:

  • The developed AHP model is effective for quantitative risk assessment of aquatic invasive species.
  • The model provides crucial support for the introduction and sustainable management of aquatic animals.
  • The AHP model offers a scientific basis for risk management decisions regarding species introductions.