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

What are Populations and Communities?00:30

What are Populations and Communities?

35.5K
Overview
35.5K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

151
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...
151
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

115
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...
115
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

285
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
285
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

314
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
314

You might also read

Related Articles

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

Sort by
Same author

Spatially explicit models of density improve estimates of Eastern Bering Sea beluga (<i>Delphinapterus leucas</i>) abundance and distribution from line-transect surveys.

PeerJ·2026
Same author

A perception-memory PDE framework for seasonal migration dynamics.

Journal of mathematical biology·2026
Same author

Influence of new residential construction varying in housing density on bird species, human tolerance guilds, and communities.

Scientific reports·2026
Same author

Environmental and demographic mechanisms underlying population dynamics provide relative stability in an island songbird.

Ecology·2026
Same author

Honu Count: how shell-etchings, participatory science, and a novel online survey are improving assessments of the Hawaiian Green sea turtle (Chelonia mydas) population.

BMC ecology and evolution·2026
Same author

White-tailed deer scavenging community in a chronic wasting disease-endemic region and considerations for prion movement.

Scientific reports·2026

Related Experiment Video

Updated: Oct 28, 2025

3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

10.9K

An integrated path for spatial capture-recapture and animal movement modeling.

Brett T McClintock1, Briana Abrahms2, Richard B Chandler3

  • 1Marine Mammal Laboratory, NOAA-NMFS Alaska Fisheries Science Center, Seattle, Washington, USA.

Ecology
|July 16, 2021
PubMed
Summary

Integrating spatial capture-recapture (SCR) and animal movement modeling enhances ecological insights. This approach links individual animal movements to population dynamics, improving conservation and management strategies.

Keywords:
animal movementdensity and distributionintegrated population modelmark-recapturemovement ecologypopulation dynamicspopulation ecologyspatial capture-recapture

More Related Videos

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
10:02

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

Published on: December 24, 2014

11.9K
Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

1.1K

Related Experiment Videos

Last Updated: Oct 28, 2025

3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

10.9K
FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
10:02

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

Published on: December 24, 2014

11.9K
Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

1.1K

Area of Science:

  • Ecology
  • Conservation Biology
  • Population Ecology
  • Movement Ecology

Background:

  • Spatial capture-recapture (SCR) and animal movement modeling are crucial tools for ecologists and conservation biologists.
  • Historically, SCR focused on population-level parameters (abundance, density), while movement modeling focused on individual behavior (resource selection, migration).
  • A significant gap exists in linking individual movement to population dynamics, hindering comprehensive ecological understanding.

Purpose of the Study:

  • To review recent advances in SCR and animal movement modeling.
  • To establish a common framework for integrating individual-level movement data with population-level SCR models.
  • To highlight the potential benefits of this integration for ecological inference, conservation, and management.

Main Methods:

  • Review of recent advancements in spatial capture-recapture (SCR) and animal movement modeling.
  • Establishment of a common notation for integrating Lagrangian (individual) movement with Eulerian (population) processes.
  • Development of a general conceptual framework for combined movement and SCR modeling.

Main Results:

  • Integration of SCR and movement modeling offers a powerful approach to scale from individual behavior to population-level patterns.
  • Accounting for complex movement processes can reduce bias in population parameter estimation.
  • This integrated approach advances inferences at the intersection of population, movement, and landscape ecology.

Conclusions:

  • The integration of SCR and animal movement modeling holds immense potential for ecological research and conservation.
  • This synergy allows for more robust inferences critical for species management and understanding population dynamics.
  • Future research should focus on addressing challenges and pitfalls in developing and applying integrated models.