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

Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
Ecological Niches02:02

Ecological Niches

All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Ecological Niche01:12

Ecological Niche

Microorganisms occupy diverse habitats and perform essential ecological functions that are defined by their ecological niches. A microbial niche encompasses the organism’s mode of survival, including resource acquisition, reproduction, and interactions with other species in its environment. This concept is vital for understanding microbial community dynamics, biogeography, and ecosystem functionality.The fundamental niche of a microorganism includes the full spectrum of environmental...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Ecological Disturbance02:26

Ecological Disturbance

An ecological disturbance is a temporary disruption in the environment resulting from abiotic, biotic, or anthropogenic factors, causing a pronounced change in an ecosystem. The impact of an ecological disturbance, which can depend on its intensity, frequency, and spatial distribution, plays a significant role in shaping the species diversity within the ecosystem.

You might also read

Related Articles

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

Sort by
Same author

Stage-stratified prognostic impact of comorbidities on breast cancer-specific survival: A population-based flexible parametric modelling study.

Cancer epidemiology·2026
Same author

A data-informed multidimensional composite score for stress assessment.

Acta psychologica·2026
Same author

Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours.

PloS one·2026
Same author

Considerations for Genital Psoriasis Care Across Age Groups: A Modified Delphi Consensus Initiative from the Genital Psoriasis Wellness Consortium.

American journal of clinical dermatology·2026
Same author

A localised risk model for liver fluke infection.

Veterinary parasitology, regional studies and reports·2026
Same author

Development and implementation of a data parsing protocol for companion animal cancer data.

Veterinary pathology·2026
Same journal

Boring into groundwater impact predictions of hardrock mines in Canada reveals inconsistent modelling timelines, monitoring plans, and consideration of climate change.

Integrated environmental assessment and management·2026
Same journal

Brazilian soil conditions in ecotoxicological tests: do international protocols represent the reality?

Integrated environmental assessment and management·2026
Same journal

Correction to: Evaluation of pesticide residues in cereals at BBCH 30-39 to inform the wild mammals risk assessment (medium herbivorous scenario).

Integrated environmental assessment and management·2026
Same journal

Valuation of River Ecosystem Services by Rural Communities in the Colombian Orinoquia: A Volunteer Labor-for-Restoration Choice Experiment.

Integrated environmental assessment and management·2026
Same journal

Beyond Source Restrictions: Combined Mitigation Strategies Substantially Reduce Emissions and Exposure of Intentionally Added Microplastics in the UK.

Integrated environmental assessment and management·2026
Same journal

The role of Life Cycle Assessment in the Safe and Sustainable by Design: lessons learnt from a case study.

Integrated environmental assessment and management·2026
See all related articles

Related Experiment Video

Updated: May 30, 2026

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island
05:04

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island

Published on: July 14, 2023

Integrated Bayesian network framework for modeling complex ecological issues.

Sandra Johnson1, Kerrie Mengersen

  • 1Discipline of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia. sandra.johnson@qut.edu.au

Integrated Environmental Assessment and Management
|August 20, 2011
PubMed
Summary
This summary is machine-generated.

Environmental managers can use the iterative Bayesian network development cycle (IBNDC) to build integrated Bayesian network (BN) models. This approach simplifies complex environmental problem-solving by merging diverse data and existing models for better decision-making.

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

Related Experiment Videos

Last Updated: May 30, 2026

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island
05:04

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island

Published on: July 14, 2023

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

  • Environmental Science
  • Ecological Modeling
  • Computational Science

Background:

  • Environmental management requires integrating diverse, often conflicting, objectives and data.
  • Bayesian networks (BNs) are suitable for complex environmental problems but can become unwieldy.
  • Existing ecological models may be disparate, necessitating integration for comprehensive analysis.

Purpose of the Study:

  • To present a heuristic method, the iterative Bayesian network development cycle (IBNDC), for creating integrated BN models.
  • To facilitate the development of object-oriented BN (OOBN) models for adaptive environmental management.
  • To address the challenges of integrating existing models or initiating new ones for environmental problem-solving.

Main Methods:

  • The study describes the iterative Bayesian network development cycle (IBNDC) approach.
  • The IBNDC facilitates object-oriented Bayesian network (OOBN) modeling.
  • The method is demonstrated through two case studies: Lyngbya majuscula blooms and cheetah population viability.

Main Results:

  • The IBNDC approach enables the development of integrated BN models suitable for complex environmental issues.
  • Application of IBNDC led to the integration of three existing models for Lyngbya majuscula bloom initiation.
  • An integrated OOBN model with three subnetworks was created for cheetah population viability in Namibia.

Conclusions:

  • The IBNDC provides a structured, iterative process for developing maintainable and expandable integrated BN models.
  • Object-oriented BN (OOBN) modeling, supported by IBNDC, offers significant potential for adaptive environmental management.
  • The described method effectively consolidates information from diverse sources to support environmental decision-making.