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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

38
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
38
What are Populations and Communities?00:30

What are Populations and Communities?

33.6K
Overview
33.6K

You might also read

Related Articles

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

Sort by
Same author

Relating Rates of Global Change, Evolutionary Adaptation, and Extinction.

Physical review letters·2026
Same author

Correction: Understanding street protests: From a mathematical model to protest management.

PloS one·2026
Same author

Stories and science: two roles for palaeontology in the Anthropocene.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same author

Revealing the effect of a hidden dimension on slug spatial distributions in arable fields.

Royal Society open science·2025
Same author

Understanding street protests: from a mathematical model to protest management.

PloS one·2025
Same author

Complex interactive responses of biodiversity to multiple environmental drivers.

Ecology·2024

Related Experiment Video

Updated: May 22, 2025

Quantifying Corticolous Arthropods Using Sticky Traps
05:28

Quantifying Corticolous Arthropods Using Sticky Traps

Published on: January 19, 2020

5.4K

Using mathematical modelling to highlight challenges in understanding trap counts obtained by a baited trap.

Omar Mazen Alqubori1, Daniel Bearup2, Sergei Petrovskii3,4

  • 1Department of Mathematics and Statistics, College of Science, University of Jeddah, Jeddah, 21589, Saudi Arabia.

Scientific Reports
|March 14, 2025
PubMed
Summary

Trap counts can be misleading for pest management. Changes in animal movement behavior, not just population size, affect trap catches, potentially leading to incorrect ecological or agricultural decisions.

Keywords:
Attractant strengthBaited trapIndividual-based modelMovement behaviourTrap counts

More Related Videos

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

2.5K
Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas
03:29

Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas

Published on: March 8, 2024

515

Related Experiment Videos

Last Updated: May 22, 2025

Quantifying Corticolous Arthropods Using Sticky Traps
05:28

Quantifying Corticolous Arthropods Using Sticky Traps

Published on: January 19, 2020

5.4K
Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

2.5K
Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas
03:29

Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas

Published on: March 8, 2024

515

Area of Science:

  • Ecological modeling
  • Agricultural entomology
  • Animal behavior

Background:

  • Baited traps are crucial for monitoring pest insects in ecological and agricultural settings.
  • Interpreting trap counts is difficult due to a lack of standardized methods linking counts to absolute population abundance.
  • Current interpretations often assume trap counts directly correlate with population size, which may be inaccurate.

Purpose of the Study:

  • To challenge the assumption that increased trap counts directly indicate larger pest populations.
  • To investigate the role of animal movement behavior in modifying trap counts.
  • To highlight the potential for misleading conclusions in pest management decisions.

Main Methods:

  • Development and application of an individual-based simulation model for animal movement.
  • Simulation of animal movement patterns in response to varying attractant (bait) strength.
  • Comparison of simulation results with existing field data.

Main Results:

  • Simulation results demonstrate that trap counts can increase due to altered animal movement behavior, even with constant or decreasing population sizes.
  • Animal movement patterns are significantly influenced by the type and strength of attractants used in traps.
  • Observed simulation patterns show good qualitative agreement with available field data.

Conclusions:

  • Increased trap counts do not always signify a larger population; changes in animal movement behavior are a critical confounding factor.
  • Reliable biological data on how attractant properties affect animal movement are essential for accurate trap count interpretation.
  • Without such data, relying solely on trap counts can lead to erroneous conclusions about pest population dynamics and ineffective management strategies.