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 Experiment Videos

Controlling chaos in ecology: from deterministic to individual-based models.

R V Solé1, J G Gamarra, M Ginovart

  • 1Complex Systems Research Group, Department of Physics FEN, Universitat Politècnica de Catalunya, Campus Nord B5, 08034 Barcelona, Spain. ricard@complex.upc.es

Bulletin of Mathematical Biology
|September 21, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Integrative morphological and molecular characterization of Proterodiplostominae metacercariae (Digenea: Diplostomidae) infecting siluriform fishes in the Peruvian Amazon Basin.

Journal of helminthology·2026
Same author

Voltage-gated calcium channels as key regulators of neuronal differentiation in the immortalized dorsal root ganglion neuronal cell line F11.

Scientific reports·2026
Same author

Black Hole Spectroscopy and Tests of General Relativity with GW250114.

Physical review letters·2026
Same author

Integrative taxonomy uncovers <i>Clinostomum chaacci</i> and an unidentified congeneric metacercaria infecting <i>Hoplosternum littorale</i> (Siluriformes: Callichthyidae) in the Peruvian Amazon Basin.

Food and waterborne parasitology·2026
Same author

Phylogenetic assessment of <i>Megacoelium spinicavum</i> Thatcher & Varella, 1981 (Digenea: Haploporidae) from <i>Pterygoplichthys pardalis</i> (Siluriformes: Loricariidae) in the Peruvian Amazon Basin.

Journal of helminthology·2026
Same author

GW250114: Testing Hawking's Area Law and the Kerr Nature of Black Holes.

Physical review letters·2025
Same journal

Mathematical Modeling Shows that Overall Infection Burden is Reduced More by Vaccines that Decrease Spread or Accelerate Recovery than those that Lower Severe Infections or Death.

Bulletin of mathematical biology·2026
Same journal

Effects of Seasonal Births and Predation on Disease Spread.

Bulletin of mathematical biology·2026
Same journal

Identifiability, Sensitivity, and Genetic Algorithms in Bacterial Biofilm Selection Models.

Bulletin of mathematical biology·2026
Same journal

Slow Evolution Towards Generalism in a Model of Variable Dietary Range.

Bulletin of mathematical biology·2026
Same journal

CBINN: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification.

Bulletin of mathematical biology·2026
Same journal

A Cost-Sensitive Behavioral Modeling Analysis of the Early Identification and Control of Infectious Diseases.

Bulletin of mathematical biology·2026
See all related articles

Chaos control, inspired by heart and brain studies, is explored in ecological populations. This research demonstrates that controlling noisy biological systems is feasible and experimentally testable.

Area of Science:

  • Ecology
  • Systems Biology
  • Mathematical Biology

Background:

  • Recent advances in heart and brain tissue dynamics have spurred interest in chaos control.
  • The application of chaos control to population dynamics and evolutionary ecology has been conjectured.

Purpose of the Study:

  • To explore the feasibility of applying chaos control to ecological population dynamics.
  • To investigate the role of chaos control in evolutionary ecology.

Main Methods:

  • Utilized mathematical modeling to simulate population dynamics.
  • Employed individual-based simulation models to account for individual behavior and noise.
  • Investigated the challenges and possibilities of controlling noisy biological systems.

Related Experiment Videos

Main Results:

  • Chaos control is demonstrated to be a feasible task in ecological systems.
  • The intrinsic noise associated with individual behavior complicates but does not prevent system control.
  • The findings suggest that chaos control can be experimentally tested in ecological contexts.

Conclusions:

  • Chaos control is a viable strategy for managing and understanding ecological population dynamics.
  • The study provides a foundation for experimental testing of chaos control in ecology.
  • This research opens new avenues for exploring the evolutionary implications of chaos control.